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. • Getting Faster and Faster: More and More Compounds by Using Less and Less Material

. Fig. 7.1
the terminus of a natural protease or esterase substrate. The enzyme cleaves the p-nitrophenolate or p-nitroanilide, which becomes visible as ayellow-colored mesomerically stabilized anion (absorption maximum
Ap-nitrophenolate or ap-nitroanilide group is added to
as ametric for optimization need to be considered. LE refers to ∆G, which is recommended to be measured in the SI unit kJ/mol. However, values based on the non-SI unit kcal/mol are more commonly used. Although the energy scales differ only by the factor of 4.184, care must be taken to ensure which scale is being referred to. Fur­thermore, an LE
of 0.3–0.4 (or LE
kcal/mol
kJ/mol
of 1.2–
1.6) is considered apromising value. However, there are successful drugs in therapy that have an LE that is twice as high, and others that have an LE that is only half as high. Therefore, LE should only be used when optimizing one class of compounds for agiven target.

7.2 Color Change Demonstrates Activity

Important target proteins for drug development are pro­teases and esterases, which are enzymes that cleave pep­tide and ester bonds (Chaps.23, 24, 25). How can their enzymatic activity be visualized? In order to achieve this goal, synthetic substrates that are very similar to the nat­ural substrate are prepared. For example, they carry apa- ra-nitroanilide or apara-nitrophenolate group coupled to the peptide or ester bond to be cleaved (. Fig.7.1). When the enzyme degrades this substrate, yellow nitro­phenolate or nitroanilide is released, and the absorp­tion properties of the produced anion are ameasurable change. This can be observed spectroscopically. If during screening, acompound acts as an inhibitor, the enzy­matic cleavage of the synthetic substrate will be more or less suppressed, and the yellow color is minimized. In this way, the inhibition potency of test substances can be determined (. Fig.7.1).
Abroad palette of chromophoric reactions that are suitable for the characterization of enzymatic activity have been developed. Many enzymes, for example, de­hydrogenases, need NAD(P)H as a natural cofactor, which is subsequently oxidized to NAD(P)+ (Sect.27.1).
at 405 nm). If acompetitive inhibitor is added along with the substrate to the enzyme, the cleavage reaction rate is suppressed depending on the binding strength. This is apparent by the more or less strong yellow color of the solution, which can be quantitatively measured
Because the NAD(P)H starting material, in contrast to the product, absorbs at 340 nm, the progress of the en­zymatic reaction can be monitored at this wavelength. As avariation, two enzymatic reactions can be coupled to each other. This route is of interest when the reaction in the enzyme of interest is difcult to observe, but the reaction forms aproduct that is asubstrate suitable for spectroscopic monitoring. In this case, the activity of the enzyme of interest is recorded based on the conversion of the product of the previous reaction in the subsequent en­zyme reaction. Although absorption spectroscopic assays are preferred for technical reasons, tests that are based on the reaction of radiolabeled compounds still play an important role. The activity of kinases is, for example, followed by using 32P-labeled adenosine triphosphate. The terminal phosphate group of the labeled substrate is transferred to the phosphorylated protein by the kinase (Sect.26.3). The incorporation rate serves as ameasure of the kinase activity. Receptor-binding studies are carried out with aknown radioactively labeled ligand. The assay investigates to what extent test compounds can displace the radioactively labeled ligand from the receptor-bind ing site. This type of test does not necessarily represent afunctional assay though. Agonistic and antagonistic binding (Chaps.28 and29) must still be distinguished.
7.3 Getting Faster and Faster: More and
More Compounds by Using Less and Less Material
Antibodies play an important role in assay develop­ment. The enormous specicity of antibody–antigen interactions can be exploited as ahighly sensitive sys­tem (Sect.32.3) for the detection of aspecic molecular species. In classical immunoassays, either the release of aradioactively labeled substance is monitored (radioim-
-
Chapter  • Screening Technologies for Lead Structure Discovery
7
munoassay, RIA) or an enzymatic reaction is induced (en­zyme-linked immunosorbent assay, ELISA). In the latter
case, for example, aspecic antibody is used to nd any unconverted substrate molecules left over from the en­zyme reaction being tested for inhibition. Any antibody not bound to asubstrate molecule is then removed. Since the antibody is also linked to another enzyme that can produce achromogenic compound as reaction product, the amount of unreacted substrate molecules and, thus, the inhibition rate of the tested enzyme can be deter­mined. The ELISA technique has amuch wider range of application, mainly because radioactivity is best avoided as a measured quantity. Because they recognize only asingle molecular species, immunoassays are not only highly specic but also versatile.
Screening techniques are optimized to be automated and miniaturized. Driven by the desire for higher ca- pacity, these tests are hardly ever carried out in 96-well (8 × 12) microtiter plates anymore. The wells of these plates hold areaction volume of about 0.3 mL. In the meantime, 384-well (16 × 24) microtiter plates are used or even 1536-well (32 × 48) plates, the volumes of which are only afew microliters per well. The aggregation be- havior of hydrophobic test compounds poses alarge prob- lem. The aqueous buffer solutions that are used for these assays can cause these compounds to aggregate. This ag­gregation creates hydrophobic surfaces on which proteins can adsorb. This reduces the concentration of free pro­tein, which can give the impression that the protein is well inhibited. Addition of detergents can reverse this effect. However, aggregation of test molecules and proteins on such aggregates, or even on the plastic material of the assay plates, can dramatically obscure assay results.
By using asophisticated robot system, 100,000 assays aday can be carried out. This leads to an enormous ood of data to be evaluated. The reduced test volume has the advantage that much less material is consumed. Fur­thermore, the measurements can be carried out quickly. At the same time, the sample manipulation has become ever more difcult. One only has to consider the evapora­tion of such small amounts of solution, the enormously increasing logistics of comprehending so much data in parallel, or the reproducibility of the results, and the nec­essary sensitivity to measure weak signals with certainty to appreciate the difculty.
In order to improve this last aspect, ever more sensi­tive detection procedures are used. Fluorescence measur- ing techniques are particularly sensitive. In the simplest case, auorescing substrate such as coumarin (Sect.14.6) is incorporated in the place of para-nitroanilide. The pro­tein–ligand binding can also be followed by uorescence anisotropy (or polarization). For example, aknown small molecule ligand for the target biomolecule to be screened is coupled to auorophore and excited with polarized light. The emitted uorescence is also polarized. During the time that the excited molecule can freely diffuse in
solution, the amount of induced polarization decreases. Because asmall molecule can diffuse much faster than alarge target biomolecule, the rate by which the polar­ization signal decreases depends on whether the small molecule is bound to the large biomolecule or not. In ascreening assay, the uorophore-labeled ligand is used as areporter ligand and will be displaced by potential screening hits. Any difference in polarization decay is re­corded and related to the binding event of ahit.
Even better sensitivity can be achieved with so-called FRET measuring techniques (fluorescence resonance en­ergy transfer). Aresonance energy transfer can occur between donor and acceptor uorophores of similar ab­sorption if both are separated by no more than 50 Å. For example, to develop aphosphatase assay, aphosphory­lated peptide substrate must be covalently linked to ado­nor uorophore. This is added to the phosphatase to be tested, which has also been exposed to an inhibitor. De­pending on the inhibitory potency of the test compound, the activity of the enzyme decreases and less substrate is cleaved. An antibody that binds to the unused phosphor­ylated substrate is added. The antibody is additionally labeled with an acceptor uorophore whose absorption maximum overlaps with the emission spectrum of the donor uorophore. If there is still alot of phosphory­lated substrate present, e.g., because the compound to be tested is apotent inhibitor, the spatial proximity be­tween the donor and acceptor uorophores will result in astrong FRET signal. Thus, the intensity of the FRET signal can be related to the activity of the tested enzyme.
In the meantime, progress in assay miniaturization al­lows the detection of single molecules. This is possible by using uorescence correlation spectroscopy (FCS). Acon- focal laser microscope irradiates approximately afem­toliter of test solution. If asingle uorophore diffuses through the volume of interest, it will cause atime-re­solved uctuation in the uorescence signal. An exact analysis of these signals delivers information about the concentration and diffusion constants. The diffusion ve­locity, on the other hand, depends on whether the uo­rescence-marker-labeled substance is bound to aprotein or not. If the proteins as well as the ligands are tagged with different markers, the association and dissociation can even be followed.
7.4 From Binding to Function:
Testing in Entire Cells
The binding of a ligand to a protein does not tell us much about the associated biological function or the change in function that is induced. In the case of en­zymes that catalyze a chemical transformation, it is often easier to relate an observed assay inhibition to a putative function. The correlation is less obvious with receptors and ion channels (Chaps. 28, 29, 30).
. • Back to Whole-Animal Models: Screening on Nematodes
. Fig. 7.2 Genes are controlled by promoters. Pro-
moter-initiated gene activation leads to the synthesis of the relevant protein. By using green uorescent protein (GFP), an easily observed assay can be constructed based on this principle. For this, the gene promoter that is activated by agonist binding is coupled to the GFP gene. Activation of the promoter then delivers not the original gene product, but rather the GFP. The presence of GFP is easily observed because of its uo­rescence upon excitation with ultraviolet light

When biochemical pathways and cell cycle regulation are considered, it becomes even more complex to as­sign aparticular function even in case of enzymes. Such correlations are not so easily reproduced in atest tube. Therefore, assays must also be developed to study func­tion that allow the response of an entire cell to be mea­sured upon ligand binding. It is possible to culture cells for many different tissues, which then allows the study of tissue-specic receptors.
Typically, the activity of ion channels can be inves­tigated by using binding tests or radioactive assays. The so-called patch–clamp technique allows the inuence of adrug candidate to be even better characterized. An elec­trode is placed on the surface of acell and avoltage is applied, which creates acurrent. In this way, the opening or closing of individual ion channels can be recorded, especially when test molecules are added during these measurements. This method certainly does not have the capacity of high-throughput techniques. Rather, it is used to further investigate the function of hits from an initial prescreening. Fluorescence methods are often used for this rst step. For example, in the case of calcium chan­nels, the increase in intracellular calcium concentration can be observed using adye that uoresces sensitively in the presence of calcium ions.
Other tests employ the coupling to areporter gene. Receptor stimulation initiates asignaling cascade that, for some receptors, leads to the transcription of gene products that are controlled by the relevant promoters (Sect.28.1). If the sequence of the relevant gene is re­placed with that of areporter’s, such as β-galactosidase, luciferase, or green uorescent protein (GFP), then these proteins will be produced by the cell instead. This can subsequently be observed as an easily detectable signal (. Fig.7.2). As examples, if the produced β-galactosi-
dase cleaves X-gal, ablue dye will be released, luciferase will develop an ATP-dependent chemiluminescence, and the green uorescent protein will be detectable because of its own intrinsic uorescence.
7.5 Back to Whole-Animal Models:
Screening on Nematodes
Primary substance testing on animals, as it was once car­ried out, is ethically unjustiable today. Furthermore, an animal model is not predictive for target-oriented opti­mization. Nevertheless, it does have advantages. The re- action of an entire organism to asubstance is immediately transparent, the bioavailability is directly measured, and side effects as well as synergistic effects are immediately obvious. Back in 1963, Sydney Brenner recognized the complexity of molecular biology in that he emphasized the biochemical control of cellular development. He proposed that the pinworm (the nematode Caenorhabdi- tis elegans) would be the simplest multicellular organism to investigate. This nematode normally lives in soil and feeds on bacteria. It is also easily culturable in micro­titer plates and fed with Escherichia coli bacteria. It is ahermaphrodite, has ashort lifespan, reproduces itself within three days, can be conserved in liquid nitrogen, is transparent, and homologous genes have been found in humans for 60–80% of its genes. The pinworm genome has been sequenced, and we now understand how to eas­ily manipulate it. Because it is transparent, any inter­nal changes can be easily observed so that, for instance, proteins can be tagged with uorescence markers. Its 959 somatic cells form many different organs, including anervous system with 302 neurons. Can substance test­ing be carried out in such alife form? The ethical thres-
Chapter  • Screening Technologies for Lead Structure Discovery
7
hold may be set lower in this case. But then, how pre­dictive would any tests be? Can such an animal be used to predict mood changes, depression, or appetite and its relation to obesity? This is only possible if the causes of these diseases are known on the molecular level, for example, adefect caused by an altered serotonin-medi­ated signaling. In such asituation, the worm can serve as amodel. Arst step towards the discovery of apo­tential target is selective gene silencing. This is possible by using RNA interference (Sect.12.7). If the pinworm (nematode) is exposed to asubstance library, it will be possible to see achange in appearance or behavior. Is the life expectancy lengthened or shortened? These are indications that the compounds could interfere with the aging process or are toxic. If there are changes in muscle cells, perhaps it might be useful for neurodegenerative muscle disease. Aside from macroscopic changes in the body form, changes in the gene expression pattern can also be analyzed (Sect.12.10). Are mutations in proteins apparent? Certainly, the worm does not have the same metabolic pathways as we do. Even its disease models only partially represent the pathophysiology that is seen in human disease. Nonetheless, direct testing of com­pounds on the pinworm seems to afford anew perspec­tive for screening substance libraries. As an alternative, the fruit y (Drosophila melanogaster) or the zebrash (Danio rerio) are also available as test organisms. They help to test the validity of atherapeutic approach early in aprogram.
7.6 In Silico Screening of Virtual
Compound Libraries
As described in the previous section, experimental high-throughput screening (HTS) has been automated with great effort. When fed with compounds from com­binatorial chemistry (Chap.11), several hundred thou­sand substances can be screened by using HTS. At rst, it seemed that this would be the end of all rational struc­ture-based techniques. In view of the enormous nan­cial investment and the disappointingly low hit rate, the initial euphoria began to soberingly wane. Therefore, as an alternative, the technique of enumerating huge da­tabases on the computer by tting small molecules in apredened binding pocket (docking, Sect.20.8) was developed and referred to as virtual screening.
The unsatisfactory hit rate from HTS is attributed to the size, structural diversity, and poorly selected com­position of the substance library with respect to the ac­tual properties of the target protein. The recognition of false-positive and false-negative hits in biological systems causes large problems. Disappointing hit rates have been reported for the translation of initial hits into potential lead structures for lead optimization. This was all the more reason that virtual screening techniques were developed as
acomplementary and alternative method. The prerequi­sites for the successful use of these techniques are entirely different from those of the technology-driven HTS: virtual screening can only reasonably be applied if the factors that are responsible for aputative drug to bind to its target protein are well understood on the molecular level.
The starting point for this is the spatial structure of the target protein, which is usually determined by NMR spectroscopy, electron microscopy, or X-ray structure analysis (Chap.13, . Fig.7.3). Models can be increas­ingly derived from structurally homologous proteins of known geometry (Sect.20.5). It remains to be seen whether methods based on machine learning and arti­cial intelligence will provide sufciently accurate models for virtual screening (Sect.20.6). To successfully bind to aprotein, the ligand must adopt ashape that is com­plementary to the binding pocket. Molecules are exi­ble and can change their shape through bond rotations that require very little energy (Chap.16). In addition to adopting an appropriate conformation in space to ac­commodate the protein binding pocket, the functional groups of a potential ligand must nd complementary functional groups of the protein in the binding pocket. Hydrogen bonds must be formed between ligand and protein, and hydrophobic molecular moieties must nd their counterpart in the protein (Chap.4). For this, the protein binding pocket is analyzed to highlight the re­gions that are essential for binding.
For aparticular atom type, for instance, ahydro­gen-bond donor or acceptor, the binding pocket is systematically scanned. By using computer graphics, it is possible to see where functional groups attached to a candidate ligand might be optimally placed (Sect.17.10). The composite picture of all such placed atom types in the binding pocket that are indicated by this analysis reveals aspatial pattern of physicochem­ical properties that aligand must meet to successfully bind to the protein (“hot spots” Sects.17.1 and17.10). With these criteria in hand, amolecular database can be searched that is composed of already-synthesized compounds or compounds that have been virtually as­sembled on the computer. To this end, programs have been developed that assemble huge libraries of virtual test molecules in the computer using previously pro­grammed synthesis rules. In case ahit from the latter group is found, the compound can be subsequently syn­thesized. The search is divided into multiple ltering steps that become increasingly stringent and sophisti­cated with successive reduction of the search quantity. With the help of fast docking programs (Sect.20.8), mol- ecules are tted into the binding pocket and abinding geometry is generated, from which the expected binding afnity can be estimated. This step is decisive, but un­fortunately it is also the most difcult (Sect.20.9). In Chap.21, examples that were found by avirtual screen­ing campaign are presented.
a
f
h
. • In Silico Screening of Virtual Compound Libraries

The evaluation of the generated binding geometries is accomplished with sufcient accuracy in about 70% of cases nowadays. An improvement in predictive power requires that we understand the ligand–protein recogni­tion process better (Chap.4). The role of water in the binding, the induced steric and dielectric adaptation, the exible behavior and residual mobility of proteins and bound ligands, and the dynamic changes during complex formation are still poorly understood. The composition of the databases themselves plays adeci­sive role in the search’s success. Enlarging the database alone is not enough. The enrichment of the compounds that could fulll the requirements is crucial. Screening is often compared to the search for aneedle in ahaystack. When looking for such aneedle, it is not helpful to sim-
ply double the size of the haystack! The haystack must be spiked with more promising needles. To achieve this, all available knowledge about the structure, function, and dynamic behavior of the target protein must be used to dene the database search. Comparisons between proteins and protein binding pockets, especially among members of the same protein family, can offer decisive information (Sects. 20.320.6). In principle, all of the data that are needed about the composition of asuitable compound library for avirtual screening run are already intrinsically coded in the structure and geometric inter­action properties of the binding pocket. It is only aques­tion of applying it correctly. Another decisive criterion for ahit is an adequate pharmacokinetic prole so that satisfactory bioavailability can be achieved (Chap.19).
b
c
g
. Fig. 7.3 The spatial structure of aprotein is the starting point for
virtual screening(a). The binding pocket is explored with avariety of different probe atoms, for instance, for hydrogen-bond acceptors or donors(b). Regions that are particularly favorable for such interacting groups are highlighted on the computer graphics. If the “hot spots” in these areas are summarized, aspatial pattern of properties that apo­tential ligand should have become apparent(c). This pattern is called “pharmacophore” and serves as the search criterion for a database
d
e
retrieval(d). Potential ligands from alarge database are ltered and energetically evaluated by docking(e). The discovered hits are either commercially available or synthesized in the laboratory(f). Next, bio­logical testing takes place(g), and if the binding is successful, the lead structure will be crystallized with the protein. The subsequent struc­tural determination(h) serves as a starting point for further design cycles (for an example see Fig.02,
7 https://sn.pub/4NppHn)
Chapter  • Screening Technologies for Lead Structure Discovery
7

7.7 Biophysics Supports Screening

Surface plasmon resonance (SPR) is increasingly being used to screen for new lead structures. Atarget molecule is anchored to the gold-coated surface of asensor chip. Polarized light (. Fig.7.4, strictly speaking, transversely magnetically polarized light, that is, the direction of the magnetic eld is perpendicular to the plane spanned by the incidence vector and the surface normal) is then irra­diated from the bottom of aglass substrate. Changes in the refractive index, which can be followed by ashift in the angle of total internal reection, are ameasure of struc­tural changes in the sensor surface. Changes in the masses of bound matter also contribute signicantly to these changes. Free electrons in the deposited gold layer inter­act with the incident light to form PLASMA-like electron clouds (PLASMONS), which are nothing other than sur­face waves. These propagate parallel to the metal surface and, under certain conditions (i.e., wavelength and angle of incidence near total internal reection), can be excited to resonance by the polarized light. This allows changes in the refractive index in the immediate vicinity (afew 100 nm) of the surface to be observed with very high sensitivity. For example, if asubstance with amass greater than about 100 Da binds to the biological target molecule, the resulting mass change can be registered on the gold surface.
There are two basic strategies for performing the mea­surements. In the rst, the ligand is added to the chip with the immobilized protein in acuvette. The binding equilibrium is established and the shifts in the reectivity angle due to the mass effect are recorded. Adilution se­ries is then performed. Depending on the binding afnity of the test ligand to the immobilized target protein, its binding behavior is evaluated from the resulting refrac­tive index shifts. This equilibrium method has not become widely accepted. Instead, steady-state methods are used today. For this purpose, the test ligands are allowed to
ow over the chip carrying the protein in aconstant but, if necessary, adjustable liquid ow. Changes in the angle of reection are observed and converted to changes in the refractive index. The test ligand is added to the liquid ow in atime-controlled manner. Again, concentration series must be performed. The latter procedure is faster to per­form, but is dependent on the ow rates and, since chem­ical equilibrium can never be assured, assumes a“steady­state” situation. In particular, the diffusion rates must be strictly controlled. The SPR method works fast and atime course of the mass increase on the chip can be observed. Thus, in addition to stoichiometry, kinetic pa­rameters of association or dissociation become available.
Aprerequisite for using the method for screening is stable and reproducible immobilization of the compounds to be tested on the sensor chip. In the early days of SPR, the sensitivity required the binding of very large masses. Therefore, large libraries of low molecular weight test compounds were chemically anchored to the gold chips. The binding of amacromolecular receptor protein to the, thus, exposed test compounds could be easily detected by the enormous change in mass. Today, the surface plasmon resonance method has reached such ahigh sensitivity that even very small mass changes caused by small ligands can be detected. For this reason, today almost exclusively macromolecules are immobilized on the sensor chips and the low-molecular weight test substances are allowed to ow over these surfaces as possible binders. Since the test substances can also be “washed off” with the liquid ow, the “off kinetics” can be determined and the immobilized protein can be reused several thousand times for the mea­surement of different test ligands.
The concept of “ligand efciency” was introduced in Sect.7.1. To address the latter aspect, test libraries are increasingly being supplied with compounds that have amolecular weight of less than 250 Da. The term “chemi­cal fragment” has become popular to refer to these search
. Fig. 7.4 Principle of surface
plasmon resonance (SPR) using the continuous ow method. The method registers changes in the refractive index on the surface of asensor chip (green). The extent of the mass change on the gold surface (yellow), which is caused by binding of atest ligand ( ) to areceptor (red ) immobilized there, leads to ashift in the resonance angle of the reected light (IandII). This not only measures the binding afnity, it also succeeds in determining kinetic parameters of association (k
) and dissociation (k
on
)
off
. • Biophysics Supports Screening
. Fig. 7.5 In isothermal titration calorimetry,
asolution with aligand is added dropwise to asolution containing aprotein. The binding to the protein leads to an exothermic or an endothermic reaction. The heat that evolves upon the addition of each drop is the area under the single signal peaks. The total integral of all signal peaks is the binding enthalpy ∆H. With increas­ing amount of ligand, the protein becomes saturated so that the signal intensity of the heat signal decreases. The binding constant (dissociation constant) can be derived from the shape of the curve, and the free energy ∆G can be obtained from the relationship ∆G = −RTlnKd. The stoichiometry of the reaction is simultaneously ob­tained. The entropy is calculated by using the equation: ∆G = ∆H − T∆S

candidates. The term is somewhat unfortunate because the molecules are actually “complete” small molecules and not, as the term might suggest, simply a“fragment,” that is an additional building block to be attached to alead structure. In recent years, SPR has become the standard rapid method for fragment screening.
Proteins denature when heated. A“melting tempera­ture” is dened when an unfolding process (Sect.14.2) oc- curs. This temperature can be measured very sensitively with athermal sensor. The binding of aligand to apro­tein changes this melting point. As described in Sect.7.3, uorescence measurements are extremely sensitive indi­cators. This melting effect can be registered by allowing the unfolded proteins to interact with auorescent dye and detecting the change in auorescence signal. The temperature shift caused by ligand binding can be used as evidence of whether aligand is bound to a protein or not. It has also been possible to construct quantita­tive binding assays using this effect. This highly sensitive thermal shift method is also suitable for the detection of weakly binding fragments.
Mass spectrometry (MS) has evolved signicantly over the last few decades. By applying very gentle bombard­ment conditions, it is possible to detach single electrons from large biomacromolecules or even to generate nega­tively charged species. In the best case, the protein of in­terest can be detected in its intact form as asingly charged ion. The charged particles are then accelerated between charged, parallel-oriented condensator plates. The ow of charged particles can be bent by applying amagnetic eld. The ight path of a given particle depends on its
mass and charge. In this way, it is possible to separate and detect particles based on their mass-to-charge ratio. This principle has been rened with the most sophisticated technology and clever combination of electric and mag­netic elds, so that it is now possible to detect individual mass differences of only afew daltons among even huge proteins. Using sophisticated experimental conditions, agiven situation in solution, such as aprotein–ligand complex, can be transferred to the gas phase without de­composition. There it is ionized and detected in the mass spectrometer (Sect.21.10). With this technique, we have an assay that can detect the binding of very small ligands to proteins. It is even possible to tailor the decomposition of the complexes by varying the acceleration voltage. By registering the voltage at which decomposition occurs, the strength of the protein–ligand complex can be assessed. Since the decomposition occurs in the gas phase, infor­mation about the binding strength of such complexes in awater-free environment is available.
Recently, mass spectrometry has increasingly sought to capture spatial information about proteins in addition to their topological composition. By inserting chemically reactive cross-linkers between two functional groups of a protein or protein complex, distance information in its intact spatial structure can be captured and identied by MS. The positions of the cross-linked amino acids, to­gether with the length of the cross-linker, reveal distance restraints in the 3D structure of a biomolecule. In addi­tion, isotopic labeling by hydrogen-deuterium exchange (HDX) can be used to determine the spatial accessibility of main-chain amino groups. After certain time points
Chapter  • Screening Technologies for Lead Structure Discovery
7
and depending on the exchange conditions applied, fast/ slow exchange in buried/accessible surface regions can be detected by digesting and analyzing the partially la­beled protein. This provides insight into which sequence stretches have been involved in the formation of stable/ labile contact interfaces of a protein complex.
Ligands can also be “shed” with proteins. This in­volves exposing aprotein for which aligand is being sought to an entire library of test compounds in aque­ous solution. Those compounds from the library that bind to the protein are captured. The protein is then separated using amicrolter and the bound ligand is released by chemically denaturing the protein. The solu­tion containing the released ligands is then processed and amicro-HPLC separation is performed. The chro­matographically separated ligands are then subjected to highly sensitive analysis to determine which members of the original library have been shed out by the protein.
The binding of aligand to aprotein is achemical re­action. As with all chemical reactions, amore or less pro-
nounced heat of reaction can be observed. The process can either release heat (exothermic) or absorb heat (endother­mic). This heat signal can be recorded to register the bind­ing of aligand to aprotein. Ahighly sensitive calorimeter is required. When equipped with electronically controlled compensation heating, these devices can achieve amazing sensitivity. For example, such an instrument was built to study the activity of abuttery being attracted by differ­ent pheromones. The heat generated by the wing beats was detected as asignal by such acalorimeter.
Adissolved ligand can be titrated by dropwise injection into the solution of atarget protein in such acalorimeter. Each drop produces aheat signal. With increasing satura­tion of the protein, the heat signal decreases and acurve can be generated from which the binding constant of the ligand can be deduced (. Fig.7.5). From the slope of the curve at the inection point, the dissociation constant Kd can be determined. When all signals are integrated over the entire titration, the total heat of reaction for the bind ing event is determined. In this way, two different ther-
-
. Fig. 7.6 The protein to be tested is placed in acapillary with atest
ligand. Test series with several ligand concentrations are measured. The protein has previously been covalently labeled with auorophore. Now the infrared laser is switched on and generates alocal temperature gradient in the region of the uorescence observation window. The labeled molecules diffuse out of the heated region. Their migration is tracked by the decrease in uorescence (F migration properties depend on whether and how strongly aligand is
). The thermophoretic
norm
bound (concentration-dependent at equilibrium) to the target protein. At the end, the laser is turned off and the system returns to the initial state. Because the system is measured at different concentrations, the thermophoretic effect varies in strength (i.e., from the black to the gray and to the red decay curves) and can be converted into the shape of abinding curve (top right). (Figure after M.Jerabek-Willemsen etal., J.Mol. Struct., 1007, 101–113 (2014))
. • Biophysics Supports Screening
. Fi
g. 7.7
In the switchSENSE method, ashort DNA strand is im­mobilized on agold surface (yellow). It carries auorophore at the end (green ). Atarget molecule (here protein, gray) is attached to acom­plementary strand that hybridizes with the rst strand. In an alternating electric eld of varying frequency, the DNA double strand is set into an oscillating tilting motion (purple arrow). As the strand approaches

the gold surface, the uorescence is increasingly quenched periodically. Antibodies (schematically shown asY) are added to the test solution. When one of these antibodies binds, the hydrodynamic frictional resis­tance changes. It differs whether the antibody binds to the protein ( ) or not ( ). In this way, binding can be detected and quantied. (Figure after J.Niemax etal., Laborwelt, 11(5) 21–22 (2010))
modynamic binding characteristics are measured. The free energy ∆G is determined from the equilibrium constant and the enthalpy ∆H is given by the integrated heat signal (Sect.4.3). Using Eq.4.3, the entropy of binding can be calculated. It is important that in addition to proving the binding of the ligand to the protein, the most relevant thermodynamic parameters ∆G, ∆H, and ∆S can be eval­uated in one experiment at one temperature.
The method also records the stoichiometry of the binding process. Many binding processes involve changes in the protonation state of the binding partners. This can be recorded with the isothermal titration calorimetry (ITC) method. To achieve this, the titration must be performed from different buffer solutions. If the buffer releases aproton during the binding process, its heat of ionization must be spent for this step. Conversely, if it captures aproton, the same energy will be released as a heat signal. Since different buffer compounds have different heat signatures for the protonation change, the molar amount of protons transferred can be inferred from this buffer contribution. In Sect.4.4 (. Fig.4.4) such an example was presented.
Isothermal titration calorimetry is not ahigh-through­put method. Rather, it is used to analyze and characterize the binding process. Because of its importance, especially with respect to ligand optimization, the method will be discussed again in Sect.8.8. Recently, the method has been further developed by Philippe Dumas in Stras­bourg, France. Kinetic data can also be derived from the shape of the individual injection signals along the ther­mogram. The so-called kinITC-ETC (ETC: equilibration time curve) is used to evaluate how quickly the thermal
signal returns to the baseline with each successive in­jection. This contains information about k
. For a1:1
off
binding process, the dissociation constant can be used to infer kon, since it is the quotient of k
and kon.
off
Agroup of physicists led by Dieter Braun and Stefan Duhr at the University of Munich in Germany has devel­oped anew biophysical method that is now being used worldwide for compound screening. Microscale thermo- phoresis (MST) is apowerful technique for quantifying biomolecular interactions. It is based on thermophoresis, the directional movement of molecules in atemperature gradient. This process is strongly dependent on molec­ular properties such as size, charge, hydration shell and molecular conformation of the moving particles. The technique is highly sensitive to virtually any change in these molecular properties. However, since these proper­ties change primarily when aligand binds to aprotein, this approach can be used to quantify ligand binding. This is done by measuring the system at different ligand concentrations. Depending on the afnity and, thus, the percentage of the bound test ligand to the target protein in chemical equilibrium, the thermophoretic effect is dif­ferent depending on the applied concentration. This can be converted into abinding curve (. Fig.7.6).
During an MST experiment, an infrared laser is used to abruptly create alocal temperature gradient in the test solution (. Fig.7.6). Then, the directional movement of molecules through the temperature gradient is recorded and quantied. For this purpose, the protein of interest has been covalently labeled with auorophore, or the intrinsic uorescence of, for example, the tryptophan res­idues in the protein can be used. By correlating the de-
Chapter  • Screening Technologies for Lead Structure Discovery
7
tected uorescence, which changes its intensity strongly as afunction of temperature and environment, with the variability of the thermophoretic effect, MST provides arobust and rapid way to study molecular interactions.
The development of new uorescent dyes with im­proved environmental sensitivity has made the MST method even more sensitive. In particular, the tempera­ture-dependent intensity change in the induced tempera­ture gradient is exploited. As aresult, it is now possible to perform the method in 384 microtiter plates. This opens the door to HTS; aplate can be screened in about 30 min.
Another relatively new method is the switchSENSE technology developed by Dynamic Biosensors, led by Ul­rich Rant of Munich, Germany. In this technology, ashort strand of DNA is anchored to agold surface (. Fig.7.7). On the opposite end, this strand carries a uorescent probe. It can be hybridized to asecond strand of comple­mentary sequence. This second strand carries achemical functionality on its side facing away from the gold surface so that atarget molecule can be attached to it. Because the strands are made of DNA, they carry many nega­tive charges. When an alternating electric eld is applied across the gold surface, the DNA strands can be stimu­lated to oscillate towards and away from the gold surface. This oscillation can be tracked in real time because the uorescence of the attached uorophore is quenched as it approaches the metal layer, which has an increasing and decreasing positive charge in the alternating eld. Thus, the position of the DNA strands in their switching motion can be observed by the intensity of the uorescent light. The dynamics of the switching motion pull the molecule of interest through the solvent. Hydrodynamic friction
and the charges on the target molecule inuence the tilting motion. If aligand is bound to the target molecule, or if aconformational change is induced for some reason, the switching motion can be slowed down. This is used as the measurement signal of the assay. This process can be analyzed very precisely by tuning the alternating eld in afrequency-dependent manner. Thus, in addition to the binding afnity, binding kinetic parameters such as kon and k
become available. . Fig.7.7 shows an example
off
of the binding of an antibody to aprotein. The method can be extended in many ways to molecular systems, provided they can be chemically immobilized on ashort DNA strand. For an assay developer, there are almost no limits to the measurement setups that can be created.
7.8 Screening by Using Nuclear Magnetic
Resonance
The method of NMR spectroscopy is described in more detail in Sect.13.7. Sufce it to note here that it is con­cerned with the orientation of the magnetic moments of the nuclei in asample in amagnetic eld. By applying acarefully chosen, spatially and temporally resolved se­quence of electromagnetic elds, it is possible to specif­ically activate nuclei that are oriented within these mag­netic elds. This can be done, for example, for one type of nucleus in aprotein. If asolution of test ligands or awhole mixture of ligands is added to such asolution, protein binding can occur, provided that the ligands are suitable. Depending on their binding strength, they will remain on the magnetically saturated protein for acertain
. Fig. 7.8 To determine the saturation transfer difference (STD)
with NMR spectroscopy, alibrary of test ligands ( , ) is added to atarget protein (ellipse). Potential binders (here ) reside for anite time span bound to the protein. If the nuclear spin of one type of nucleus in the protein is selectively saturated (red) by using asuitable resonance frequency (RF), the protein magnetization will be trans­ferred (nuclear Overhauser effect, see Sect. 13.7) to the ligand that
was bound in the meantime ( ). These ligands become apparent in that their spectrum is altered even though they are already dissociated from the protein. If the difference between the spectra in presence of the saturated and unsaturated protein is displayed, it will be possible to determine which ligands were bound immediately to the protein. Many variations and sophisticated experimental protocols have been developed for the principle of magnetization transfer
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