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Файл:Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5344_Библиотеки_им_академика_М_И_Перельмана.pdf
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- •Acknowledgement
- •Author biographies
- •Professor Ahmed Al-Harrasi
- •Dr Saurabh Bhatia
- •Dr Ajmal Khan
- •1.1 Introduction
- •1.2 Properties of enzymes
- •1.3 Catalysis
- •1.4 The structure of enzymes
- •1.5 Structural features: primary and secondary structures
- •1.6 Nomenclature and classification
- •1.6.1 Class 1—oxidoreductase
- •1.6.2 Class 2—transferase
- •1.6.3 Class 3—hydrolases
- •1.6.4 Class 4—lyases
- •1.6.5 Class 5—isomerases
- •1.6.6 Class 6—ligases
- •1.7 The mechanism of action of enzymes
- •1.7.3 Covalent catalysis
- •1.8 Catalysis via chymotrypsin
- •1.8.1 Intermediary stages of chymotrypsin
- •1.8.2 Kinetic behavior of α-chymotrypsin
- •1.8.3 Selective proteolysis in creation of the catalytic sites of enzymes
- •1.8.4 Kinetic models for enzymes
- •1.8.5 Enzyme mediated acid–base (general) catalysis
- •1.8.6 Metallozymes
- •1.9 Enzyme inhibition
- •1.10 Pharmaceutical applications
- •1.10.1 Diagnostic applications of enzymes
- •1.10.2 Enzymes in therapeutics
- •1.11 Plants and algae enzyme systems
- •1.12 Enzyme safety
- •1.13 Enzyme structure determination
- •1.13.1 X-ray crystallography
- •1.13.2 NMR spectroscopy
- •1.13.3 Cryo-electron microscopy
- •1.14 Enzyme engineering and design
- •1.14.1 Directed evolution of enzymes
- •1.14.2 Rational design of enzymes
- •1.14.3 Applications of engineered enzymes
- •1.15 Enzymes in medicine and healthcare
- •1.15.1 Enzyme-targeted drug delivery
- •1.15.2 Enzymes as drug targets
- •1.15.3 Challenges and opportunities in enzyme drug discovery
- •1.15.4 Enzymes in gene therapy
- •1.15.5 Enzymes in personalized medicine
- •1.15.6 Enzyme biomarkers in disease diagnosis
- •1.15.7 Pharmacogenomics and enzyme variability
- •1.15.8 Enzyme-based therapies for personalized treatment
- •1.16 Enzymes in bioremediation
- •1.17 Enzymes in agriculture and crop production
- •1.18 Enzymes in waste management
- •References
- •2.1 Introduction
- •2.1.1 Sources of enzymes
- •2.2 Enzyme production technology
- •2.2.1 Selection of microorganisms
- •2.2.2 Medium selection
- •2.2.3 Production process
- •2.2.5 Cell debris removal
- •2.2.6 Nucleic acid removal
- •2.2.7 Precipitation of enzymes
- •2.2.8 Liquid–liquid partition
- •2.2.9 Chromatographic separation
- •2.2.10 Drying and packing
- •2.2.11 Regulation of microbial enzyme production
- •2.2.12 Induction
- •2.2.13 Feedback repression
- •2.2.14 Nutrient repression
- •2.3 Procedures involved in enzyme production
- •2.3.1 Source and location of enzymes
- •2.3.2 The variety of microorganisms
- •2.3.3 Media for fermentation
- •2.3.4 Fermentation
- •2.3.5 Enzyme extraction
- •2.3.7 Finishing operations
- •2.4 Recombinant proteins from algae
- •2.5 Enzyme immobilization techniques
- •2.5.1 Advantages and applications of enzyme immobilization
- •2.5.2 Methods of enzyme immobilization
- •2.6 Enzyme engineering for enhanced stability and activity
- •2.6.1 Protein engineering strategies
- •2.6.2 Improving enzyme thermostability
- •2.7 Upstream process intensification
- •2.7.1 High cell density fermentation
- •2.7.2 Solid-state fermentation
- •2.7.3 Continuous fermentation
- •2.7.4 Microbial consortia for enzyme production
- •2.7.5 In situ product removal strategies
- •2.8 Enzyme production from extreme environments
- •2.8.1 Psychrophiles (cold-loving)
- •2.9.4 Automation and robotics in downstream processing
- •References
- •2.8.2 Thermophiles (heat-loving)
- •2.8.3 Acidophiles (acid-loving)
- •2.8.4 Alkaliphiles (alkaline-loving)
- •2.8.5 Halophiles (salt-loving)
- •2.8.6 Applications of extremozymes in biotechnology
- •2.9 Downstream process intensification
- •2.9.1 Continuous chromatography
- •2.9.2 Process integration and optimization
- •3.1 Industrial enzymes
- •3.2 Bacterial α-amylases
- •3.3 Fungal α-amylases
- •3.4 Bacterial proteases
- •3.5 Fungal proteases
- •3.6 Glucose isomerase (d-xylose ketol-isomerase; EC. 5.3.1.5)
- •3.7 Penicillinase
- •3.8 Chloramphenicol acetyltransferase
- •3.9 Aminoglycoside antibiotic inactivating enzymes
- •3.10 Fibrinolytic enzymes
- •3.10.1 Streptokinase
- •3.10.2 Urokinase
- •3.10.3 Tissue plasminogen activator (t-PA)
- •3.11 Biotechnological applications of enzymes
- •3.11.1 Algae and plant research
- •3.11.2 Immobilization
- •3.12 Industrial enzymes
- •3.12.1 Glucoamylase
- •3.12.2 Cellulases
- •3.13 The role of enzymes in the synthesis of functional foods
- •3.13.1 Lipases
- •3.13.2 Proteases
- •3.13.3 Carbohydrate-modifying enzyme
- •3.13.4 Tannase
- •3.13.5 Asparaginase
- •3.13.6 The phytases
- •3.14 Enzymes used as additives to food
- •3.14.1 The enzymatic synthesis of dietary antioxidants
- •3.14.2 The use of ascorbyl esters
- •3.14.3 Polyphenolic esters
- •3.14.4 Synthesis of sugars esters surfactants by enzymes
- •References
- •4.1 Introduction
- •4.2 Types of immobilization
- •4.2.1 Surface immobilization by covalent coupling
- •4.2.2 Adsorption
- •4.2.3 Complexation and chelation
- •4.2.4 Within-support immobilization
- •4.2.5 Cell immobilization
- •4.2.6 Commercial production of enzymes
- •4.3 Genetic engineering for microbial enzyme production
- •4.3.1 Cloning methods
- •4.4 Protein studies for modification of commercial enzymes
- •4.5 Enzyme and cell immobilization
- •4.6 Immobilization methods
- •4.6.1 Adsorption methods
- •4.6.3 Ionic binding
- •4.6.4 Hydrophobic adsorption
- •4.6.6 Entrapment method
- •4.6.7 Covalent binding
- •4.6.8 Cross-linking
- •4.7 Choice of immobilization technique
- •4.7.1 Immobilization of l-amino acid acylase
- •4.7.2 Stabilization of soluble enzymes
- •4.8 Immobilization of cells
- •4.8.1 Immobilization of viable cells
- •4.8.2 Immobilized non-viable cells
- •4.8.3 Drawbacks of immobilizing eukaryotic cells
- •4.8.4 The effect of immobilization on enzyme properties
- •4.8.5 Immobilized enzyme reactors
- •4.8.6 Applications of immobilized enzymes and cells
- •4.9 Manufacture of commercial products
- •4.9.1 Production of l-amino acids
- •4.9.2 Production of high-fructose syrup
- •4.9.3 Immobilized enzyme and cell analytical applications
- •4.10 Immobilized enzymes for biomedical applications
- •4.11.1 Bioluminescence
- •4.11.2 The measurement of biomass using bioluminescence-based techniques
- •4.11.4 Biosensors relying on bioluminescence
- •4.12 Bioluminescence-based microbial biosensors
- •4.12.1 The microencapsulation process involves the utilization of polymers and cells
- •4.12.2 Microcapsule evaluation
- •4.12.4 Modern developments in cell encapsulation
- •4.13 Immobilization of microalgae
- •4.13.1 Techniques for immobilization
- •4.13.2 Use of cryopreserved algae
- •4.13.3 Removal of nitrogen and phosphorous
- •4.13.4 Disposal of metals
- •4.13.5 Biosensor development
- •References
- •5.1 Introduction
- •5.2 Principles of a biosensor
- •5.3 Different types of biosensors
- •5.3.1 Electrochemical biosensors
- •5.3.2 Thermometric biosensors
- •5.3.3 Optical biosensors
- •5.3.4 Piezoelectric biosensors
- •5.3.5 Whole-cell biosensors
- •5.3.6 Immunobiosensors
- •5.4 Applications of biosensors
- •5.4.1 Applications in medicine and health
- •5.4.2 Applications in industry
- •5.4.3 Applications in pollution control
- •5.4.4 Applications in the military
- •5.4.5 Immobilized enzymes and cell therapeutic applications
- •5.5 Recent advancements in biosensor technology
- •5.5.1 Electrochemical biosensors
- •5.5.2 Optical/visual biosensors
- •5.5.3 Silica, quartz/crystal, and glass biosensors
- •5.5.4 Nanomaterials-based biosensors
- •5.5.5 Fluorescent biosensors that are either genetically encoded or synthetic
- •5.7 Technological comparison of biosensors
- •5.9 Grand challenges in biosensors and biomolecular electronics
- •5.9.1 Sensitivity
- •5.9.2 Multiplex capability
- •5.9.3 Continuous monitoring in vivo
- •5.10.1 Sustainability to the ecosystem
- •References
- •6.1 Introduction
- •6.2 Types of biotransformation reactions
- •6.3 Sources of biocatalysts and techniques for biotransformation
- •6.3.1 Growing cells
- •6.3.2 Non-growing cells
- •6.3.3 Immobilized cells
- •6.3.4 Immobilized enzymes
- •6.4 Product recovery in biotransformations
- •6.5 Application of biotransformation in the production of pharmaceutical products
- •6.5.1 Biotransformation of steroids
- •6.5.2 Biotransformation of antibiotics
- •6.5.3 Biotransformation of arachidonic acid to prostaglandins
- •6.5.4 Biotransformation for the production of ascorbic acid
- •6.5.5 Biotransformation of glycerol to dihydroxyacetone
- •6.5.6 Biotransformation for the production of indigo
- •6.6 Mechanisms of enzyme action in biotransformation
- •6.6.1 Enzyme kinetics and biotransformation
- •6.6.2 Cofactors and coenzymes in biotransformation
- •6.6.3 Enzyme inhibition and activation
- •6.7 Biotransformation in environmental applications
- •6.7.1 Degradation of pollutants
- •6.7.2 Enzymatic breakdown of pesticides
- •6.8 Emerging technologies in biotransformation
- •6.8.1 Enzyme engineering and directed evolution
- •6.8.3 Biotransformation of lipids for healthy oils
- •6.9 Biotransformation challenges and future perspectives
- •6.9.1 Scalability issues in industrial applications
- •6.9.2 Regulatory and safety concerns
- •6.9.3 Challenges in enzyme storage and stability
- •6.9.4 Future trends and emerging areas of research
- •6.9.5 Biotransformation in biofuel production
- •6.9.6 Biotransformation in the cosmetic industry
- •6.9.7 Specialized enzyme systems: lignin-modifying enzymes in biotransformation
- •References
- •7.1 Introduction
- •7.2 Characterizations in genomics
- •7.3 Historical background
- •7.4 Genome sequencing
- •7.4.1 Clone-by-clone sequencing
- •7.4.2 Human whole-genome shotgun sequencing
- •7.4.3 Compilation of genome resources
- •7.5 Understanding bioinformatics and sequencing
- •7.6 Comparative genomics as a technique to understand evolution
- •7.6.2 Horizontal or lateral gene transfer
- •7.6.3 Genome similarity or homology
- •7.6.4 SNPs
- •7.6.5 Inferences from comparative genomics
- •7.6.6 Gene order comparisons (for phylogenetic inference)
- •7.6.7 Phylogenetic footprinting (computational method)
- •7.6.8 Origins, evolution and phenotypic impact of new genes
- •7.6.9 The concept of minimum genome size
- •7.6.10 Comparative genomics analysis of mitochondria and chloroplasts
- •7.7 Gene estimation and counting
- •7.7.1 Genome similarity, SNPs and comparative genomics
- •7.8 Genomes: genome evolution
- •7.8.1 Microbial genome reduction in bacteria
- •7.8.2 Role of duplications in the origin and evolution of the eukaryotic genome
- •7.8.3 Gene duplications increase genetic diversity and complexity
- •7.9 Algae bioinformatics
- •7.9.1 Scope of algae bioinformatics
- •7.9.2 What is involved in algae bioinformatics
- •7.9.3 Role of algae bioinformatics
- •7.9.4 Steps involved in obtaining the data for analysis using bioinformatics
- •7.10 Functional genomics
- •7.10.1 Introduction to functional genomics
- •7.10.2 Transcriptomics: studying the RNA molecules
- •7.10.3 Proteomics: understanding the world of proteins
- •7.10.4 Metabolomics: exploring cellular metabolites
- •7.10.5 Interactomics investigating protein–protein interactions
- •7.11 Structural genomics
- •7.11.1 Introduction to structural genomics
- •7.11.2 The approaches used in the domain of structural genomics
- •7.11.3 Importance of structural genomics in drug design
- •7.12 Epigenomics and epigenetics
- •7.12.1 Epigenetic inheritance and diseases
- •7.13 Pharmacogenomics
- •7.13.1 The importance of personalized medicine
- •7.13.2 The impact of genetic variations on drug response
- •7.13.3 Additional insights on pharmacogenomics
- •7.13.4 Pharmacogenomic tests in the market
- •7.13.5 Challenges in implementing pharmacogenomics
- •7.14 Population genomics
- •7.14.1 Studying genetic variation across populations
- •7.14.2 Population genomics techniques
- •7.14.3 Understanding human migration and evolution through population genomics
- •7.14.4 Conservation genomics in endangered species
- •7.15 Microbiome genomics
- •7.15.1 Introduction to the human microbiome
- •7.15.2 Techniques in studying microbial communities
- •7.15.3 Role of microbiome in human health and disease
- •7.15.4 Environmental microbiomes and their importance
- •7.16 Synthetic biology and genome editing
- •7.16.1 Techniques like CRISPR/Cas9 in genome editing
- •7.17 Systems biology and genomics
- •7.17.1 Integrative approaches in genomics
- •7.17.2 Modeling biological systems and networks
- •7.17.3 Challenges and opportunities in systems biology
- •7.18 Genome-wide association studies (GWAS)
- •7.18.1 Introduction to GWAS
- •7.18.2 Techniques and platforms for GWAS
- •7.18.3 Challenges in interpreting GWAS results
- •7.19 Future of genomics
- •7.19.1 Next-generation sequencing technologies
- •7.19.2 Ethical considerations in genomics research
- •7.19.3 The role of AI and machine learning in genomics
- •7.19.4 Personalized medicine and its potential impact
- •8.1 Introduction
- •8.2 Types of proteomics
- •8.2.1 Structural proteomics
- •8.2.2 Functional proteomics (strategy)
- •8.2.3 Expression proteomics
- •8.3 Basic techniques involved in proteomics
- •8.3.1 Sequence alignment (algorithms)
- •8.3.2 Protein structure (annotation resources)
- •8.3.3 Protein structural investigation
- •8.3.4 Two-dimensional gel electrophoresis in proteomics
- •8.3.5 Domain fusion method (or rosetta stone method)
- •8.4 Complete proteome of Mycoplasma genitalium
- •8.5 Architecture and design of the nuclear pore complex
- •8.6 Functional genomics and systems biology
- •8.6.2 Transcriptome, proteome and genomes
- •8.6.3 DNA arrays: a potential genomic tool
- •8.6.4 Gene function determination from sequence information
- •8.6.5 Protein interactions
- •8.7 Synthetic genomics
- •8.8 Advanced techniques in proteomics
- •8.8.1 Mass spectrometry in proteomics
- •8.8.2 Tandem mass spectrometry
- •8.8.3 Quantitative proteomics using mass spectrometry
- •8.8.4 Other advanced techniques in proteomics
- •8.8.5 Chromatography in proteomics
- •8.9 Proteogenomics
- •8.9.1 Proteogenomics role in precision medicine
- •8.10 Single-cell proteomics
- •8.10.1 Technologies enabling single-cell proteomics
- •8.11 Clinical and diagnostic proteomics
- •8.12 Metaproteomics
- •8.13 Emerging topics in proteomics
- •8.13.1 Data-independent acquisition (DIA)
- •8.13.2 Top-down proteomics
- •8.13.3 Targeted proteomics and selected reaction monitoring (SRM)
- •8.13.4 Proteomics in plant research
- •8.14 Ethical and data management issues in proteomics
- •8.14.1 Open-source platforms for proteomic analysis
- •8.15 Cellular and molecular dynamics
- •8.15.1 Molecular mechanisms of protein function
- •8.15.2 Protein degradation pathways
- •8.15.4 Cellular signaling pathways
- •8.15.5 Proteomic analysis of signaling networks
- •8.15.6 Signaling pathway dysregulation in disease
- •8.15.7 Targeting signaling pathways in drug discovery
- •8.15.8 Crosstalk between signaling pathways
- •8.16 Membrane proteomics
- •8.16.1 Techniques for membrane protein analysis
- •8.16.2 Membrane protein structure and function
- •8.16.3 Membrane proteins in disease
- •8.16.4 Drug targeting of membrane proteins
- •8.17 Subcellular proteomics
- •8.17.3 Proteomics of cellular compartments
- •8.17.4 Techniques for subcellular proteomic analysis
- •References
- •9.1 Introduction
- •9.2 History of bioinformatics
- •9.3 Sequences and nomenclature
- •9.3.1 DNA sequences
- •9.3.2 Amino acid sequences of proteins
- •9.3.3 Types of sequences in nucleotide sequence databases
- •9.3.4 Databases
- •9.3.5 Search engines and analysis tools
- •9.3.6 Various indian databases
- •9.4 Investigation by means of bioinformatics tools
- •9.4.4 Detection of noncoding RNA
- •9.4.5 Genome annotation
- •9.4.6 Molecular phylogenetics
- •9.5 Computational approaches in bioinformatics
- •9.5.1 Algorithm development
- •9.5.2 Phylogenetic tree construction algorithms
- •9.5.3 Machine learning algorithms in bioinformatics
- •9.5.4 High-performance computing (HPC) in bioinformatics
- •9.5.5 Cloud computing in genomics
- •9.5.6 GPGPU (general-purpose computing on graphics processing units)
- •9.5.7 Big data analytics in bioinformatics
- •9.5.8 Systems biology modelling
- •9.5.9 Systems pharmacology
- •9.5.10 Multiscale modeling
- •9.5.11 Computational genomics
- •9.5.12 Functional genomics
- •9.5.13 Comparative genomics
- •9.5.14 Epigenomics
- •9.5.15 Metagenomics
- •9.6 Bioinformatics in precision medicine
- •9.7 Translational bioinformatics
- •9.8 Bioinformatics in drug discovery and development
- •9.8.2 AI-driven drug discovery
- •9.9 CRISPR and genome editing in bioinformatics
- •9.10 Integrative and multi-omics analysis
- •References
- •10.1 Protein and enzyme engineering
- •10.2 Designing macromolecules
- •10.3 Protein engineering versus enzyme engineering
- •10.4 Protein engineering
- •10.5 Foundation of protein (enzyme) engineering
- •10.6 Basic assumptions for protein engineering
- •10.7 Steps involved in protein engineering
- •10.7.1 Studying three-dimensional protein structure
- •10.7.2 Protein modeling
- •10.7.3 Perturbation theory
- •10.8 Methods of protein engineering
- •10.9 Mutagenesis and selection of mutant enzymes
- •10.10 Gene modifications or gene synthesis for protein engineering
- •10.11 Multi-enzyme systems
- •10.12 Chemical modification of enzyme
- •10.13 Some early achievements of protein engineering
- •10.14 Computational approaches in protein engineering
- •10.14.1 Molecular dynamics simulations
- •10.14.2 Quantum mechanical calculations
- •10.14.3 Docking and ligand optimization
- •10.14.4 Machine learning algorithms in protein design
- •10.15 Directed evolution techniques
- •10.15.1 Error-prone PCR
- •10.15.3 Saturation mutagenesis
- •10.15.4 Phage display
- •10.16 Post-translational modifications
- •10.16.1 Glycosylation engineering
- •10.16.2 Phosphorylation engineering
- •10.16.3 Methylation and acetylation
- •10.16.4 PEGylation for enzyme stability
- •10.17 Structural flexibility and allosteric regulation
- •10.17.1 Intraprotein communication pathways
- •10.17.3 Modulator design
- •10.17.4 Coupling allosteric regulation with catalytic function
- •10.18 Protein–protein and protein–ligand interactions
- •10.18.1 Characterizing binding sites
- •10.18.3 Interaction networks
- •10.18.4 Biophysical methods for interaction studies
- •10.19 Applications in synthetic biology
- •10.19.1 Metabolic pathway engineering
- •10.19.2 Genetically encoded sensors
- •10.19.3 Protein-based logic gates
- •10.19.4 Gene circuits for dynamic control
- •10.20 Engineering multi-functional proteins
- •10.20.1 Fusion proteins
- •10.20.2 Protein scaffolds
- •10.20.3 Modular protein design
- •10.20.4 Dual-enzyme systems
- •10.21 Ethical and safety considerations
- •10.21.1 Bioethics in protein engineering
- •10.21.2 Biosafety and environmental concerns
- •10.21.3 Intellectual property rights
- •10.21.4 Regulatory frameworks
- •10.22 Studies in protein engineering
- •10.22.1 Therapeutic proteins
- •10.22.2 Industrial enzymes
- •10.22.3 Diagnostic proteins
- •10.23 Single-molecule techniques in protein engineering
- •10.23.1 Atomic force microscopy
- •10.23.2 Single-molecule FRET
- •10.23.3 Optical tweezers
- •10.23.4 Patch-clamp technique
- •10.24 High throughput screening methods
- •10.24.1 Fluorescence-activated cell sorting (FACS)
- •10.24.3 Yeast surface display
- •10.24.4 Mass spectrometry-based methods
- •10.25 Protein engineering for nanotechnology
- •10.25.1 Protein-based nanocarriers
- •10.25.2 Biosensors
- •10.25.3 Protein nanowires and nanotubes
- •10.25.4 DNA–protein hybrid structures

Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
Figure 1.4. The Michaelis–Menten enzyme kinetic.
Michaelis–Menten enzyme kinetic (figure 1.4) can be considered as the most
often studied reaction for several enzymes. For example, chymotrypsin
(protease) with a high concentration of substrate achieves maximum velocity
of the reaction (called the first order of reaction) but at a certain point the
substrate occupies all binding sites of the enzyme, after which further addition
of substrate does not increase the rate. This is called the zeroth order of
reaction (the steady state). It is the phase in which the enzyme and substrate
concentrations cannot be determined using the dissociation constant. Thus
steady-state enzyme kinetics is based on the theory that a catalytic reaction
remains constant if the reaction is not exposed to continuous changes.
• Rapid-equilibrium kinetics: This the phase in which both the enzyme and
substrate concentrations can be determined using the dissociation constant.
During this procedure total enzyme concentration remains constant during
the reaction and the concentration is very small compared to the amount of
substrate. In this reaction, before the rate-determining reaction, the reactions
are in equilibrium with their components, thus this stage is called rapidequilibrium kinetics.
According to reports, factors that affect enzyme-catalyzed reactions also affect
the velocity of a reaction. These factors are called modifiers of enzyme-catalyzed
reactions. These modifiers can be divided into two classes: inorganic modifiers
(enzyme activators) and organic modifiers (enzyme inhibitors). These factors can
have different types of effects on the velocity of the reaction; nevertheless the most
vital effect is that they offer many pathways to products, e.g. when one modifier is
bound to an enzyme, it alters the rate of reaction and thus forms two rate constants.
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
However, when two modifiers participate, there are five self-regulating equilibria,
resulting in three paths for making products.
There are two mechanisms, single-substrate and multiple-substrate, that are
helpful in studying the different stages of enzymatic reactions. Understanding these
stages helps in understanding the properties of enzymes. Certain enzymes have single
substrates (a single-substrate binding site), e.g. triosephosphate isomerase, whereas
certain enzymes have multiple substrates molecules (multiple binding sites), such as
dihydrofolate reductase, and bind with multiple substrates. After the exploration of
specific RNA sequences required for RNA replication, new biocatalysts in the form
of ribozymes have emerged with the potential to catalyze specific biochemical
reactions. There is a misconception about biological catalysts that all biological
catalysts are made up of proteins, which is not true; some are RNA-based catalysts
(ribozymes and ribosomes). Both are important for many cellular functions. A
major difference between enzymes and ribozymes is that RNA-based catalysts are
restricted to only a few reactions; however, their reaction mechanisms and kinetics
can be studied and classified by similar procedures. Enzyme-based mutation, in
particular site-directed mutagenesis, is an important approach to alter genes and
investigate the functional and structural features of enzymes, e.g. mutation of the
enzyme present in Coprinus cinereus peroxidase offers an understanding of its
increased thermostability. Challenges involved in studying cascades of reactions
catalyzed by a multi-enzyme, e.g. proteasome involved in the ubiquitin–proteasome
pathway, can be overcome by establishing understanding of the complex structure
and the respective biochemical reactions. This understanding allows exploration of
active sites, intermediate compounds, final products and their interrelation with
complex machinery, as well as biochemical reactions. It has been well understood
that enzymes that accelerate complex reactions have numerous substrates and
involve complex enzyme kinetic mechanisms. As discussed above, most of the
biochemical reactions occurring in the body are multi-substrate reactions. In such
reactions two substrates are involved and yield two products (figure 1.5). These types
of reactions involve the transfer of a compound from one compoment to another,
e.g. when glucose reacts with ATP in the presence of hexokinase it forms glucose
6-phophaste and ADP. Here, phosphate from ATP is transfered to glucose to form
glucose 6 phosphate. The mechanism of catalysis involves two types of reactions:
sequential and non-sequential reactions. Sequential reaction results in the formation
of a ternary complex. This means that both of the substrates involved in the reaction
bind with an enzyme to form the product (figure 1.5). Sequential reaction is further
divided into two types: the random and compulsory order mechanisms. As the name
suggests, in a ‘random’ mechanism, either substrate can bind first and any product
can leave first. In contrast to the random order mechanism, in the compulsory order
mechanism the order of binding of the substrate and order of release of the product
is specific; this is also called the Theorell–Chance mechanism (figure 1.5). In a nonsequential reaction, also called the ‘ping-pong’ mechanism, formation of ternary
complex does not take place. In these types of reactions, when the first substrate
binds with enzyme its product is released, and then the second substrate binds and its
product is released. Such a reaction is called a double placement reaction. Thus only
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
Figure 1.5. Multi-substrate reactions.
a single substrate binds at a time; this may be due to the presence of a single binding
site on the enzyme. Major differences between the sequential and non-sequential
reactions are that the formation of a ternary complex takes place only in the
sequential reaction, and that in the sequential reaction both substrates bind to the
enzyme and release products, while in the non-sequential mechanism the substrates
bind and release their products one after the other (figure 1.5).
Another type of sequential mechanism is the systematic mechanism, which
involves the addition of substrates and formation of products in a specific order.
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
1.8.5 Enzyme mediated acid–base (general) catalysis
Several protein enzymes use general acid–base catalysis as a way to increase reaction
rates [57]. The amino acid histidine is optimized for this function because it has a
(where Kais the acid dissociation constant) near physiological pH [57].
pK
a
When the substrate has been bound at the catalytic site, the charged functional
groups of the side chains of neighboring aminoacyl residues may contribute in
catalysis by behaving as acidic or basic catalysts. There are two extensive groups of
acid–base catalysis by enzymes: general and specific (acid or base) catalysis. Specific
acid or specific base catalysis are those reactions in which the reaction rates fluctuate
under the influence of changes in H
+
or H3O+concentration, but are independent of
the concentrations of the other acids or bases present in the solution. In contrast to
specific catalysis, general acid or general base catalysis are the reactions whose rates
are very reactive to all acids (proton donors) or bases (proton acceptors) present in
the solution. To examine whether a given enzyme-catalyzed reaction is a general or
specific acid or base catalysis, the rate of reaction is determined under two sets of
circumstances:
• at different pH values at a constant buffer concentration, and
• at constant pH values but at different buffer concentrations. Against this
background, if the degree of the reaction deviates as a function of pH at a
constant buffer concentration, the reaction is specific base/acid catalyzed if
the pH is above/below 7.0. If the reaction rate at a constant pH rises as the
buffer concentration increases, the reaction is general base/acid catalysis, if
the pH is above/below 7.0.
1.8.6 Metallozymes
Almost 25% of all enzymes include tightly bound metal ions or need them for
activity. The major role of these metal ions is investigated using techniques such as
x-ray crystallography, magnetic resonance imaging (MRI) and electron spin
resonance (ESR). A metalloprotein is a protein that contains a metal ion co-factor.
Metallozymes contain a certain amount of functional metal ion that is retained
during the course of purification [58]. A metal-activated enzyme binds with metals
less firmly, but needs to be activated by addition of metals. Four types of complexes
are possible for the tertiary complexes of the catalytic site (Enz), a metal ion (M) and
substrate (S) that exhibit 1:1:1 stoichiometry:
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
All of these complexes are possible for metal-activated enzymes. Metallozymes
cannot form the EnzSM complex (substrate–bridge complexes), as the purified
enzyme exists as Enz–M. Three generalization can be made:
• The majority of the kinases (ATP: phosphotransferases) form substrate–
bridge complexes of the type enzyme–nucleotide–M.
• Phosphotransferases (phosphoenolpyruvate or pyruvate used as the substrate), enzymes catalyzing other reactions of phosphoenolpyruvate and
carboxylases, form metal bridge complexes (Enz–M–S).
• A particular enzyme may form one type of bridge complex with one substrate
and a different type with another.
The metal ions participate in each of the four mechanisms by which the enzymes are
known to accelerate the rates of chemical reaction:
• Approximation of reactants.
• Covalent catalysis.
• General acid–base catalysis.
• Induction of strain in the enzyme or substrate.
Metal ions are electrophiles (attracted to electrons) and share an electron pair
forming a sigma bond. They may also be considered as super acids as they exist in
neutral solutions, frequently having a positive charge which is greater than their
quantity. Mn
2+
,Ca2+and Mg2+are the metal ions that are most commonly used in
enzymatic catalysis. Two metal ions, iron and manganese are used in the form of
haemprotein. Metal ions have the potential to accept electrons via sigma or pi bonds
to successively activate electrophiles or nucleophiles. By means of donating
electrons, metals can activate nucleophiles or act as nucleophiles themselves. The
co-ordination sphere of a metal may bring together the enzyme and substrate or
form chelate-producing distortion in either the enzyme or substrate [59]. A metal ion
may also mask a nucleophile and thus avoid an otherwise probable side reaction.
Metals can also function as three-dimensional templates for the co-ordination of
basic groups on the enzyme or substrate.
1.9 Enzyme inhibition
Enzyme inhibition decreases the activity of an enzyme without significantly disrupting
its three-dimensional macromolecular structure. Inhibition is therefore distinct from
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
denaturation and is the result of a specific action by a reagent directed or transmitted to
the active site region. When low molecular weight compounds interfere with the
activity of enzymes by partially reducing or completely inhibiting the enzyme activity
either reversibly or irreversibly, it is known as enzyme inhibition. The compounds
responsible for such inhibition are called enzyme inhibitors. To protect the enzyme
catalytic site from any change, a ligand binds with a critical side chain in the enzyme.
Chemical modification can be performed to test the inhibitor for any drug value.
Studies of enzymes can yield much information about the following:
• A number of drugs useful in medicine, which seem to function because they
can inhibit certain enzymes in malfunctioning cells.
• The convenience of elucidating metabolic pathways in cells.
• The mechanism of the catalytic activity.
• The nature of the functional group at the active site.
• The substrate specificity of the enzyme.
The pharmacological action of drugs is mainly based on enzyme inhibition, e.g.
sulfonamides and other antibiotics. In the majority of cases the enzyme inhibited is
known. The development of nerve gases, insecticides and herbicides is based on
enzyme inhibition studies. There are two major types of enzyme inhibition:
reversible and irreversible.
Reversible inhibitors efficiently bind to enzymes by forming weak non-covalent
interactions, e.g. ionic bonds, hydrophobic interactions and hydrogen bonds.
Reversible inhibitors do not form any strong chemical bonds or reactions with the
enzyme, they are formed quickly and can easily be removed, in contrast to
irreversible inhibitors. Reversible inhibition includes competitive inhibition, uncompetitive inhibition and noncompetitive inhibition. Irreversible inhibition includes
group specific inhibition (reacts only to a certain chemical group), reactive substrate
analogs (affinity label) and inhibitors that are structurally similar to the substrate
and will bind to the active site, and mechanism-based inhibitors (enzymes transform
the inhibitor into a reactive form within the active site).
Table 1.6. Industrially produced enzymes from plant sources and their applications.
Enzyme Source(s) Application(s)
β-Amylase Barley, soy bean Baking, preparation of maltose syrup
Bromelain Pineapple Baking
Esterase Wheat Ester hydrolysis
Ficin Fig meat Tenderizer
Papain Papaya Meat tenderizer, tanning, baking
Peroxidase Horse radish Diagnostic
Urease Jack bean Diagnostic
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
1.10 Pharmaceutical applications
Currently, enzymes are often utilized for a broad range of applications such as:
washing powders (e.g. proteases, lipases, amylases); textile manufacture (amylases and
catalase to remove the starch); the leather industry (proteases to hydrolyze proteins);
the paper industry; improvement of the environment; food production (enzymemodified cheese/butter), processing (glucose oxidase for dough strengthening) and
preservation; and medical applications. According to current reports, several enzymes
are produced industrially and there are significant applications in the food industry
(45% of use), detergent industry (35%), textiles industry (10%) and leather industry
(3%). Details on the applications of individual enzymes are provided in table 1.6.
1.10.1 Diagnostic applications of enzymes
Enzymes have been used widely in diagnostic applications varying from immunoassays
to biosensors. Enzyme immunoassay methods hold great promise for application under
a wide variety of conditions. Under laboratory conditions they can be as sensitive as
Table 1.7. Diagnostically significant enzymes.
Tissue
Enzyme and abbreviation
source
a
Reaction
γ-Glutamyl transferase GGT K L γ-Glutamyl peptide to γ-glutamylamino
acid
Ornithine carbamoyltransferase L Carbamoyl-P to citrulline
OCT triacylglycerol lipase Pa Triacylglycerol to diacylglycerol and fatty
acid
Lactate dehydrogenase LD H L M K Lactate to pyruvate
Isocitrate dehydrogenase ICD L Isocitrate to oxoglutarate
Hydroxybutyrate dehydrogenase
HBD (LD I)
Fructose-biphosphate
aldolase ALD
Creatine lipase CPK M H B Creatine to creatine phosphate
Chymotrypsin CT Pa Proteins to polypeptides
Cholinesterase CHE L Acylcholine to fatty acid and choline
Aspartate aminotransferase GOT
(AST)
Alkaline phosphatase AP B I L Pl K Phosphate monoester to alcohol and Pi
Alanine aminotransferase GPT (AAT) L Alanine to gultamate
Acid phosphatase SP Pr E Phosphate monoester to alcohol and Pi
Acetylcholinesterase ACHE B E Acetylcholine to acetate and choline
α-Amylase Pa S Starch to maltose
5′-Nucleosidase 5.N Ht Pa 5′-Ribonucleotide to ribonucleoside
a
B, brain; E, erythrocytes; H, heart muscle; Ht, hepatobiliary tract; I, intestinal mucosa; K, kidney; L, M,
skeletal muscle; Pa, pancreas; P1, placenta; Pr, prostate gland; S, saliva.
H 2-Hydroxybutyrate to 2-oxybutyrate
M H Fructose-1,6-biphosphate to
triosephosphate
H L M K B Aspartate to glutamate
(pH 8–10)
(pH 8–10)
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
radio-immunoassays, but they can also be adapted as simple field screening procedures
[60, 61]. The examination of enzyme quantity in the extracellular body fluids (blood
plasma and serum, urine, digestive juices, amniotic fluid and cerebrospinal fluid) are
vital aids to the clinical diagnosis and management of disease. Most enzyme-catalyzed
reactions occur within living cells, however, when an energy imbalance occurs in the
cells because of exposure to infective agents, bacterial toxins, etc, enzymes ‘leak’
through the membranes into the circulatory system. This causes their fluid level to be
raised above the normal cell level. Estimation of the type, extent and duration of these
raised enzyme activities can then furnish information on the identity of the damaged
cell and indicate the extent of injury. Enzyme assays can make an important
contribution to the diagnosis of diseases, as a minute change in enzyme concentration
can easily be measured. Determination of the changes in enzyme level thus offers a
greater degree of organ and disease differentiation in comparison to other possible
clinico-chemical parameters, e.g. albumin or gamma globulin. Currently, the diagnostic specificity of enzyme tests is such that they are limited primarily to confirming
diagnosis, offering data to be weighed alonside other clinical reports, owing to lack of
disease specific enzymes. Table 1.7 includes a number of diagnostically important
enzymes which are most often examined in clinic laboratories [60–62].
1.10.1.1 Enzyme examinations in diseases of the liver and biliary
The diseases of the liver and gastrointestinal tract were among the first to which serum
enzyme tests were applied. They have proved to be most effective owing to the large
size of the organs and the wide range and abundance of enzymes [63–66]. The liverbased enzymes GOT, GPT and AP are examined to evaluate the site and nature of
liver disease. LD, GGT, OCT and CHE are also examined. Several enzymes employed
in the diagnosis of liver diseases along with their respective levels are listed in table 1.8.
1.10.1.2 Enzyme applications in heart disease
According to previous reports, no single enzyme has yet been reported to cure
myocardial damage. The discovery of serum glutamine oxalacetic acid transaminase
determination (GOT) in 1954 was considered a significant step forward in the
diagnosis of acute myocardial infarction. A mixture of results from assays of CPK
Table 1.8. Liver diseases and enzymes used in diagnosis [32–36].
Disease Enzyme used Enzyme level
Solvent poisoning of liver GOT, GPT andLDGOT:GPT:LD 6500:3000:10 000
Hepatobiliary disease
(obstructive jaundice)
Fatty liver GPT 2 times normal level
Chronic hepatitis and
cirrhosis
Acute hepatitis GOT and GPT 20–50 times normal level
GOT and GPT 5–10 times normal level
All liver
transaminases
3–12 times normal level and
−1
(U ml
inflammation of the liver
)
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
(creatine phosphokinase), HBD (α-hydroxybutyrate dehydrogenase) and GOT
(glutamine oxalacetic acid transaminase)—each of which has been shown to be
elevated in more than 90% of cases—is used for diagnostic purposes [67, 68]. The
level of CPK starts rising three to four hours after the initial onset of pain, followed
in order by GOT and AST (HBD) which appear after approximately eight hours.
The maximum levels are reached in the same sequence, CPK after 24 h, LD 1 after
36 h and AST after about two days. The rise in enzyme levels is fairly moderate,
AST and CPK increase by four to ten times their respective normal levels and LD 1
is approximately five-fold higher than normal. An enzyme known as hyaluronidase
(hyaluronate hydrolysis) has been reported to cure heart attack [68]. The activity of
many enzymes including aldolase, malic dehydrogenase, isomerase and ICD may
increase following myocardial infarction [67, 68].
1.10.1.3 Diagnosis of muscle disease
Skeletal muscle disorders include diseases of the muscle fibers (myopathies) or of the
muscle nerves (neurogenic disorders) [69]. In myopathies CPJ, LD, ALD, GOT and
GPT levels are raised. In the case of neurogenic diseases and hereditary diseases,
CPK is occasionally raised (2–3 fold) [69]. Damage to the muscle may be due to
extensive muscular exercise, drugs, physical trauma, inflammatory diseases, microbial infection or metabolic dysfunction, or it may be genetically predisposed. In
muscular disorders the level of CPK is elevated in serum with the highest frequency
and is assayed in the diagnosis of these disorders. An additional useful assayed
enzyme is acetylcholinesterase (AChE), which is significant in regulating certain
nerve impulses [70]. Various pesticides affect this enzyme, so farm labors are
frequently tested to be sure that they have not received accidental exposure to
significant agricultural toxins. There are number of enzymes that are characteristically used in the clinical laboratory to diagnose diseases. There are highly specific
markers for enzymes active in the pancreas, red blood cells, liver, heart, brain,
prostate gland and many of the endocrine glands [70]. From the time when these
enzymes became comparatively easy to examine using automated techniques, they
have been part of the standard blood tests that veterinarians and medical doctors are
likely to need in the diagnosis and treatment/management of diseases.
1.10.2 Enzymes in therapeutics
Enzymes have two significant features that differentiate them from all other types of
drugs. First, enzymes frequently bind and act on their targeted sites with high
affinity and specificity. Second, enzymes are catalytic and convert numerous target
molecules to the desired products. These two important features make enzymes
specific and potent drugs that can achieve therapeutic biochemistry in the body that
small molecules cannot. These features have resulted in the development of many
enzyme-based drugs for a wide range of disorders [71]. Currently, numerous
enzymes are used as therapeutic agents, owing to the following features:
• High specificity to their substrates.
• Proficient in producing the desired effect without provoking any side effects.
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
Table 1.9. Therapeutically important enzymes.
Enzyme preparation Source Therapeutic application
Aspargenase Escherichia coli,
guinea pig serum
Bromelain Ananas comosus Inflammation, edema
Chymotrypsin Bovine pancreas Inflammation edema ophthalmology and
Deoxyribonuclease (DNA
hydrolysis)
Dextranase (dextran
hydrolysis)
Diastase (starch hydrolysis) Malt Amylaceous dyspepsia
Galactosidase (lactose
hydrolysis)
Hyaluronidase
(mucopolysaccharide
hydrolysis)
Pancreatin Animal pancreas Pancreatitis
Papain (protease) Carica papaya Dyspepsia and gastritis
Penicillinase Bacillus cereus Penicillin allergy
Plasmin (protease) Plasminogen Thrombotic disorders anticoagulation
Streptodornase (DNAase) Streptococci Depolymerization of DNA in purulent
Streptokinase (protease) Streptococci Thromboemolic diseases
Tissue plasminogen
activator (protease)
Trypsin (protease) Animal pancreas Cleaning necrotic tissue
Urokinase (protease) Human urine Thromboemolic diseases
Bovine pancreas Reduces viscosity of pulmonary secretions
Penicillium
funiculosum
Aspergillus niger Inherited β-galactosidase deficiency
Animal testes Increase absorption rate, increase
Recombinant DNA
technology
Cytotoxic agents
upper respiratory tract diseases
Dental plaque restriction
effectiveness of local anesthetics
exudates
Thromboeniolic diseases
• Water soluble.
• Extremely effective in a biological environment.
Enzymes as therapeutic agents also have some serious disadvantages which restrict
their application. Their bulky structure, due to their large molecular weight,
excludes them from the intracellular domain. Owing to their high proteinaceous
nature they are highly antigenic and are rapidly cleared from blood plasma.
Extensive purification from pyrogens and toxins is essential for parenteral enzymes,
which increases the cost. Table 1.9 lists some therapeutically important enzymes.
1.10.2.1 Enzyme therapy of cancer
In traditional medicine, proteolytic enzymes derived from plant extracts have been
used for a long time In addition to proteolytic enzymes from natural resources such
as plants, ‘modern’ enzyme therapy includes pancreatic enzymes. Therapeutically,
the use of proteolytic enzymes is partly based on scientific reports and is partly
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