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Chapter  • Experimental Methods of Structure Determination
13
. Fig. 13.15 The accuracy of an NMR structure depends on the
density of the experimentally determined atomic distances. These come from experiments that deliver information about the exchange of the magnetic state of spatially adjacent, but not directly connected atoms (so-called nuclear Overhauser effect, NOE). With the covalent connectivity list and the NOE conditions, multiple structural mod­els are generated by distance geometry. These models represent the low-energy geometries that agree with the spectral parameters. In the left part of the gure (left) the experimentally measured NOEs (black dashed lines) are distributed over the 3D structure of adomain of the guanine nucleotide exchange factor. For the sake of clarity, only the
determined distance conditions in the measured protein molecule. If the spectral parameters for asection of the structure are too sparsely distributed at too large dis­tances, it will be very difcult to obtain an unambiguous spatial conguration of the folded peptide chain. There­fore, the generation of astructural model by distance geometry is coupled with molecular dynamics simula­tions (Sect.15.7). These calculations provide aset of geometries of the molecule that represent energetically favorable 3D structures consistent with the spectral parameters. Several slightly divergent models are given particularly in regions with few spectral conditions. Therefore, NMR spectroscopists always propose aset of structural solutions (. Fig.13.15).
Attempts are often made to compare the quality of X-ray and NMR structures. Both methods measure dif­ferent properties, and the structures are derived from different measured variables. This must be considered when making adirect comparison. The accuracy of an NMR structure uctuates with the density and frequency of spectral distance constraints, while that of an X-ray structure mainly depends on the resolution of the diffrac­tion experiment. The molecules are observed in different
long-range NOEs are shown. Most of the amino acid side chains are also suppressed; many of these NOEs, therefore, indicate the positions of atoms that are not shown. In areas in which very few distances could be determined (e.g., in the green loop areas or at the termini), the model is ambiguously dened. Multiple models are consistent with the experimental data (right). The main chain of the protein fans out. In areas where alarge number of NOE conditions are found (e.g., the helices and the central β-strand), the structural models diverge only slightly from one another. In their sum, they serve to fold the polymer chain in space using the distance geometry method
physical states. The crystal structure is determined in the solid state; the NMR structure in the dissolved state. Thus, the strength of the information collected lies not in the relative comparison of the procedures but rather in their complementarity.
Resonance absorption of magnetically active nuclei can also be induced and observed in the solid state. However, very broad resonance signals are obtained. They hardly show the richness of detail required for high-resolution structure determination. This is mainly due to so-called dipolar couplings. This coupling de­scribes the interaction of neighboring nuclei in amol­ecule via the magnetic dipole–dipole interaction. It is afunction of the distance between the nuclei and the angle that the distance vector between the two nuclei forms with respect to the external magnetic eld. In solution, molecules of not too large amolecular weight (up to about 300 kDa) rotate fast enough to average out such anisotropic couplings and, thus, provide sharp resonance lines. Over the last 25years, CP/MAS NMR spectroscopy has been developed in which crystalline samples are rotated extremely fast at amagic angle of
54.7° to the applied magnetic eld. This averages out the
. • How Relevant Are Structures in aCrystal or NMR Tube to aBiological System?


dipolar couplings and produces sharp signals compara­ble to solution spectra. Thus, solid-state NMR spectros­copy is available as an additional method for structure determination.
But what new insights can this method provide, given that crystal structure analysis is already such apowerful method in the solid state? Does it lose the advantage of solution NMR spectroscopy, which studies molecules in solution where they can develop their dynamic prop­erties? First of all, not every protein crystallizes; mem­brane proteins in particular pose problems. In addition, high-resolution spectra in solution are limited to smaller proteins. Here, solid-state NMR spectroscopy can extend the scope to additional and larger proteins. Furthermore, it can help to close the information chain from crystal structure to solution NMR. Differences between the two methods have been observed. They are often related to the limited mobility in the solid state compared to solu­tion. Or there are artifacts due to the crystal packing that modify the protein geometry in the solid state. Solid-state NMR spectroscopy can bridge the gap to solution NMR and help determine whether there are structural differ­ences in the solid that are reected in adifferent reso­nance behavior between solution and solid state. Such acomparison can ll an important gap in the chain of evidence for more detailed investigations.
13.9 How Relevant Are Structures
in aCrystal or NMR Tube to aBiological System?
The discussed structure determination techniques inves­tigate molecules in acrystal assembly or in solution in an NMR tube. Are these conditions at all relevant for the biological conditions in an organism? Small exible molecules change their geometry depending on the envi­ronment. They will adopt adifferent shape in acrystal, in solution, or in the binding pocket of aprotein. There­fore, the question must be asked whether the data from asmall-molecule crystal structure are suitable to deliver information about the molecular geometry in abinding pocket. From the numerous known crystal structures, and in the meantime there are more than 1.25 million in the public domain, some general principles about the molec­ular architecture of organic compounds can be deduced. All of the published crystal structures are electronically archived at the Cambridge Crystallographic Data Centre in England. They can be retrieved and compared with one another. It will be shown in Chaps.14 and16 that valu­able information about possible molecular and interaction geometries are available through astatistical evaluation of these data, which also provide insights relevant for the conditions in aprotein-binding pocket.
Nevertheless, are the structures in the protein crystal too far away from the conditions in abiological system,
much further away than, for example, the solution-phase state? There are many structure determinations that have been made in solution and in acrystal in parallel. Experi­ence has shown that the correlation is usually very high. Deviations are most likely to be found on the surface of proteins. This is where the amino acid side chains inter­act with the environment and can adopt alternative ro­tamer conformations. Therefore, these deviations are not surprising. . Fig.13.10k shows the crystal packing of the enzyme thrombin. Note the large holes in the crystal packing. These areas are lled with water molecules that are so loosely incorporated into the crystal that they are largely free to move. Therefore, they cannot be located in the electron density. Water-lled channels in protein crystals can account for up to 70% of the crystal’s mass! Therefore, the crystal can be considered as ahighly con­centrated “ordered solution.” High concentrations are also required for NMR measurements. They are consid­erably higher than under biological conditions, but still 10–100 times lower than in protein crystals.
The high water content of protein crystals allows small molecules to diffuse into the crystals. In the wa­ter channels, they move as they would in an aqueous solution. In favorable cases, the binding pocket of the protein is directly accessible from one of these channels. By placing the protein crystal directly in asolution of the active agent (soaking), the active agent can penetrate the crystal through the channels, diffuse into the binding pockets, and dock there. Anew diffraction experiment is then performed with the thus loaded crystal. The reec­tions are measured and, based on the known structure of the protein, the electron density map is generated. The density of the uncomplexed protein is subtracted from this map. The difference density of the incorporated li­gand remains. This information is of vital importance for understanding small molecule–protein interactions.
As long as crystal structures have been determined, science has been concerned with the question of whether the structures thus elucidated are really relevant to the properties of the molecules under physiological condi­tions. As early as 1963, when only the structure of myo­globin was known, Doscher and Richards studied the hydrolysis of the 2′,3′-cyclophosphates of uridine and cytidine. These are cleaved by ribonucleaseS. The two sci­entists showed that the enzyme is still catalytically active in the crystalline state. Catalysis at the crystal surface or by partial dissolution of the crystals could be excluded. Crystalline hemoglobin can reversibly absorb and release oxygen. Using the enzyme cyclophilin3, apeptidylpro­lyl isomerase, the group of Malcolm Walkinshaw at the University of Edinburgh in Scotland was even able to demonstrate quantitative agreement of ligand binding in both crystalline and dissolved states. Different concen­trations of an inhibiting prolyl dipeptide were allowed to diffuse into the crystal. The occupancy of this inhibitor, obtained from the different concentrations of soaking
Chapter  • Experimental Methods of Structure Determination
13
solutions, was then determined in acrystallographic ex­periment. The binding constants were then determined from the occupancy data. They were in quantitative agreement with the inhibition constants determined in afunctional assay in solution.
The diffraction data can be very quickly collected
with even more intense, so-called white X-rays from
asynchrotron source (the so-called Laue technique). With this experiment, it was possible to observe stable inter­mediates of enzyme reactions. Structural changes of the two-dimensional crystals of the acetylcholine receptor (Sect.30.4) could be observed with electron microscopy after loading with the natural ligand. This and other experiments have proven that proteins exist in acrystal lattice that must be, at the very least, very similar to the biologically active form.
The X-ray free-electron laser (XFEL) is expected to provide further insights. It is abillion times more intense source of radiation for diffraction experiments. Tiny crys­tals (200 nm to 2 μm) are injected into the X-ray beam of such asource in the form of acontinuous stream. Each of these crystals provides adiffraction pattern before burst­ing in the intense beam. However, the duration of the diffraction experiment is ve powers of ten shorter than the time that elapses before the crystal explodes. Each crystal provides alimited diffraction pattern. However, since many crystals come into the reection position in all possible orientations relative to the X-ray beam, acom­plete dataset can be collected in this way. Thus, acom­prehensive structure determination (so-called serial crys- tallography) is possible. Due to the extremely short time between the injection of the crystalline samples into the beam and the measurement of the diffraction experiment, the method is ideally suited for the study of time-depen­dent phenomena. For example, light-dependent processes can be initiated by alaser pulse. In this way, the light­driven proton pump bacteriorhodopsin could be followed at work as it shufes protons across the membrane. Like amovie, snapshots of the electron density distribution were recorded in steps of 16 ns to 1.7 ms. They show how retinal is rearranged, how amino acid residues are spatially shifted, and how water molecules accompany the process. To observe processes such as enzyme reactions, the tiny crystals are mixed with the reactants in the ow leading to the measuring beam. XFELs are currently being built at several locations around the world. They are not cheap to operate because they rst require akilometer-long linear accelerator for electrons as aradiation source. Over avery long distance using suitable alternating electrical elds the electrons are accelerated to almost the speed of light where relativistic effects dominate their behavior. They are injected as extremely short pulses and form individual particle bunches. Along specially arranged magnets, the electrons are then forced to follow akind of slalom course, emitting laser-like X-ray pulses. These X-rays, traveling at the speed of light, interact with the electron bunches y-
ing in front of them on the slalom course, by this slowing some of them down and accelerating others. In this way, akind of “synchronization” of the electrons in the parti­cle bunches is achieved along the further trajectory, and they emit their X-ray light in phase along the direction of travel, resulting in the pulsed, extremely intense, coherent and monochromatic laser-like beam. This beam hits the target, while the electron ow is deected slightly in front of the target to avoid a collision with the sample. Unlike asynchrotron or aneutron reactor, where many experi­mental setups share the expensive radiation source, the XFEL allows only one experimental setup. However, it is hoped that this technology will enable completely new insights to be gained in the future, in particular into the dynamics and, thus, the detailed function of proteins.
13.10 Synopsis
The most powerful methods to determine the spatial
-
structure of molecules are X-ray crystallography and NMR spectroscopy. The former requires the biomol­ecules to be arranged in periodic arrays in acrystal, and the latter studies them in solution, usually in an isotopically labeled form.
Crystals need special conditions to grow from sat-
-
urated solutions. They spatially arrange in periodic arrays, and the molecules pack through translational symmetry in three dimensions. In addition to the pure shifting of basic motifs, usually one molecule that represents the asymmetric unit, symmetry operation such as mirror reection, two-, three-, four-, and six­fold rotation or inversion can be applied. Crystal lattices diffract X-rays and the diffraction ex-
-
periment can be understood as athree-dimensional in­terference of elementary spherical waves generated at the positions of the atoms in the lattice. The diffraction phenomenon at a3D lattice can be treated formally as reections at the multiple crystal planes in the lattice.
Because the relative phases of the generated elemen-
-
tary spherical waves, superimposed in the various reections, are not accessible by experiment, they must be regenerated by sophisticated phasing meth­ods. Only then can aFourier transform be calculated from the measured reections that represents the spa tial distribution of the electron density in the crystal. Amodel of the crystallized molecules is assigned to this electron density.
The diffraction power and resolution of the crystals
-
determine the accuracy of the resolved structure. For proteins, aresolution of 1.5–3 Å is usually achieved. At the lower end, molecular building blocks such as phenyl rings are well resolved, and individual water molecules are visible. At the upper limit, only the overall topology is determined, and the water mole­cules usually cannot be assigned.
-

Bibliography and Further Reading



The crystal structure is an average structure over
-
space and time. Enhanced B-factors give an estimate
of the residual mobility of molecular portions in
amolecule.
Electron microscopy is an alternative method for
-
determining the structure of very large, often mem-
brane-bound proteins. One either performs diffrac-
tion experiments (micro-ED method) or collects
thousands of shadow projections of individual
molecules in the electron beam in microscope mode
(cryo-EM method). In the case of diffraction, reec-
tion data are collected from many thousands of tiny
and wafer-thin crystals. Alternatively, the intensity
of the beam can be reduced to collect larger diffrac-
tion datasets from the crystals. Micro-ED can also
be applied to tiny crystals of low molecular weight
compounds. Cryo-EM requires the inclusion of com-
pound samples in frozen water droplets to collect
many thousands of shadow projections of individual
molecules. The projection images are then assembled
into an averaged 3D structure in the computer.
If only small substance samples are available or if
-
crystallization fails, dissolved organic substances can
be diffused into crystalline sponges. There they place
themselves in cavities of the lattice. Structure deter-
mination succeeds by collecting diffraction data on
the crystalline sponges with their absorbed “guest
molecules.”
NMR spectroscopy records the resonance of magnetic
-
nuclei such as 1H, 13C, or 15N oriented in astrong
magnetic eld. The transition between parallel and
antiparallel orientation of the nuclear spins can be
induced by additional elds. Because the frequency
at which these transitions take place depends on the
chemical environment in amolecule, the spectral pa-
rameters contain information about the 3D structure
of the molecules in solution.
The large number of recorded spectral parameters,
-
in particular information about the spatial neighbor-
hood of atoms determined by the nuclear Overhauser
effect (NOEs), can be translated into distance maps
between individual magnetic nuclei. From this, the
spatial structure of the protein can be folded in the
computer. Adistance geometry approach is used in
combination with molecular dynamics simulations.
It could be shown for many cases that the NMR struc-
-
ture of aprotein in solution and the X-ray structure
in acrystal largely coincide with each other. Differ-
ences are observed for the surface-exposed residues.
Protein crystals contain up to 70% water and exhibit
-
large water channels that pass through the crystal.
Where appropriate, small-molecule ligands can diffuse
through these water-containing channels to reach bind-
ing sites on the surface or in accessible binding pockets
of the proteins. The binding modes of small-molecule
ligands can be easily determined by using these soak­ing techniques.
The signicance of the architecture of proteins de-
-
termined in acrystalline environment for biologically relevant conditions has been demonstrated. Exam­ples are known of enzyme reactions that are usually carried out on the dissolved protein, but which also occur in aprotein when it is in crystalline state.
Structural data of proteins can also be collected with
-
neutron radiation. In such determined structures, hydrogen atoms are revealed as strong scatterers. Protonation states of functional groups and the ar­rangement and dynamics of water molecules can be determined.
Very strong synchrotron radiation from the X-ray la-
-
ser can be used to resolve fast dynamic processes in protein crystals by serial crystallography.
Bibliography and Further Reading
General Literature
J. P. Glusker, K. N. Trueblood, Crystal Structure Analysis, A Primer,
2nd edn., Oxford Univ. Press, New York (1985)
J. P. Glusker, M. Lewis, M. Rossi, Crystal Structure Analysis for Chem-
ists and Biologists, VCH, Weinheim (1994)
T. L. Blundell, L. N. Johnson, Protein Crystallography, Academic Press,
London (1976)
J. D. Dunitz, X-Ray Analysis and the Structure of Organic Molecules,
Cornell Univ. Press, Ithaca (1979)
J. Drenth, Principles of Protein X-ray Crystallography, Springer Verlag,
Berlin (1994)
A. McPherson, Science in Pictures: Macromolecular Crystals, Scient.
American, 260 (3), 62–69 (1989)
H. Friebolin, Basic One- and Two-Dimensional NMR Spectroscopy,
Wiley-VCH, Weinheim (2010)
F. A. L. Anet, A. J. R. Bourn, P. Carter, S. Winstein Nuclear Magnetic
Resonance Spectral Assignments from Nuclear Overhauser Effects, J. Am. Chem. Soc. 87, 5250–5251 (1965)
K. Wüthrich, NMR of Proteins and Nucleic Acids, Wiley, New York
(1986)
M. Pellecchia, I. Bertini, D. Cowburn etal., Perspectives on NMR
in Drug Discovery: A Technique Comes of Age, Nat. Rev. Drug Discov., 7, 738–745 (2008)
A. Watts, Solid-State NMR in Drug Design and Discovery for Mem-
brane-embedded Targets, Nat. Rev. Drug Discov., 4, 555–568 (2005)
M. Carroni, H. R. Saibil, Cryo electron microscopy to determine the
structure of macromolecular complexes, Methods, 95, 78–85 (2016)
M. Beckers, D. Mann, C. Sachse, Structural interpretation of cryo-EM
image reconstructions, Prog. Biophys. Mol. Biol., 160, 26–36 (2021)
G. Lander, A 3-minute introduction to CryoEM, https://www.youtube.
com/watch?v=BJKkC0W-6Qk (Last accessed Nov. 17, 2024)
Special Literature
T. S. Koritsanszky and P. Coppens, Chemical Applications of X-ray
Charge-Density Analysis, Chem. Rev., 101, 1583–1627 (2001)
E. Keller, Röntgenstrukturanalyse von Molekülen I, II, Chemie in un-
serer Zeit, 16, 71–88 and 116–123 (1982)
D. J. DeRosier, Turn-of-the-Century Electron Microscopy, Curr. Biol.,
3, 690–692 (1993)
Chapter  • Experimental Methods of Structure Determination
M. A. Wear, D. Kan, A. Rabu and M. D. Walkinshaw, Experimental
Determination of van der Waals Energies in a Biological System,
Angew. Chem. Int. Ed., 46, 6453–6456 (2007) Y. Inokuma, S. Yoshioka, J. Ariyoshi, T. Arai, Y. Hitora, K. Takada, S.
Matsunaga, K. Rissanen, M. Fujita, X-ray analysis on the nano-
gram to microgram scale using porous complexes, Nature, 495,
461–466 (2013) L. Rosenberger, C. v. Essen, A. Khutia, C. Kühn, K. Urbahns, K.
Georgi, R. W. Hartmann, L. Badolo, Crystalline Sponges as a Sen-
sitive and Fast Method for Metabolite Identication: Application
to Gembrozil and its PhaseI and II Metabolites, Drug Metab.
Dispos., 48, 587–593 (2020)
C. G. Jones, M. W. Martynowycz, J. Hattne, T. J. Fulton, B. M. Stoltz,
J. A. Rodriguez, H. M. Nelson, T. Gonen, The CryoEM Method
MicroED as a Powerful Tool for Small Molecule Structure Deter-
mination, ACS Cent. Sci., 4, 1587–1592 (2018) K. M. Yip, N. Fischer, E. Paknia, A. Chari, H. Stark, Atomic-reso-
lution protein structure determination by cryo-EM, Nature, 587,
157–161 (2020) M. S. Doscher, F. M. Richards, The Activity of an Enzyme in the Crys-
talline State: Ribonuclease S, J. Biol. Chem., 238, 2399–2405 (1963) S. Wu, J. Dornan, G. Kontopidis, P. Taylor, M. D. Walkinshaw, The
First Direct Determination of a Ligand Binding Constant in Pro-
tein Crystals, Angew. Chem. Int. Ed. Engl., 40, 582–586 (2001) A. R. Pearson, P. Mehrabi, Serial synchrotron crystallography for
time-resolved structural biology, Curr. Op. Struct. Biol., 65, 168–
174(2020)
E. Nango etal. The three-dimensional movie of structural changes in
bacteriorhodopsin, Science, 364, 1552–1556 (2020), https://www.
science.org/doi/10.1126/science.aah3497 Suppl. Mat.: aah3497s1.
mp4, aah3497s2.mp4, aah3497s3.mp4
13

Three-Dimensional Structure
Contents
14.1 The Amide Bond: Backbone of Proteins – 216
α
14.2 Proteins Fold in Space to Form
14.3 From Secondary Structure Via Motifs and Domains to Tertiary and Quaternary Structure – 220
14.4 Are the Fold Structure and Biological Function of Proteins Correlated? – 223
14.5 Proteases Recognize and Cleave Substrates in Well-Tailored Pockets – 224
-Helices and β-Strands – 217
14.6 From Substrate to Inhibitor: Screening of Substrate Libraries – 224
14.7 When Crystal Structures Learn to Move: From Static Structures to Dynamics and Reactivity – 226
14.8 Solutions to the Same Problem: Serine Proteases with Diering Folds Have Identical Function – 227
14.9 DNA as aTarget Structure of Drugs – 228
14.10 Synopsis – 230
Bibliography and further reading – 231
© The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2024 G. Klebe, Drug Design, https://doi.org/10.1007/978-3-662-68998-1_14
Chapter  • Three-Dimensional Structure of Biomolecules
Drug design focuses on the ligand, which is typically asmall organic molecule with amolecular weight of less than 500 Da. It interacts with amacromolecular recep­tor and inuences the properties of this receptor. On the other hand, the surrounding receptor can also determine the properties of the bound active ligand. Selective ma­nipulation of these interactions requires an understanding of both the ligand and the receptor. After reviewing the methods used to determine the structure of biomolecules in the previous chapter, we will now look at what can be learned about the structural principles and properties of these macromolecules. Proteins consist of 20basic build­ing blocks, the proteinogenic amino acids (see pageIX). Adipeptide is formed by linking two amino acids through an amide bond. Larger peptides and proteins are formed by the addition of many more amide bonds.
The simplest molecule with an amide bond is forma­mide 14.1. Its structure is shown in . Fig.14.1. This bond occurs many hundreds of times in proteins, for example, over 50,000 times in the envelope of the rhi­novirus (Sect.31.6). The length of the bond between the carbon, oxygen, and nitrogen atoms can be deter­mined from the crystal structure of formamide. The mi­crowave spectrum of formamide in the gas phase also provides bond lengths, but different values are obtained. In the gas phase, formamide is “isolated,” i.e., it does
not “sense” any neighbors in its immediate vicinity. The CO double bond is shorter and the C–N single bonds are longer than in crystalline formamide. In the crystal assembly, the individual formamide molecules are not “alone.” They are connected to neighboring molecules by intermolecular hydrogen bonds. Ahydrogen bond is anoncovalent interaction. It couples afunctional group carrying ahydrogen atom (e.g., NH or OH) to an elec­tronegative heteroatom (e.g., N, O; Sect.4.4). Obviously, the involvement of amolecule in anetwork of hydro­gen bonds causes achange in its geometry. The electron density between the atoms is shifted so that the C═O double bonds become longer and consequently weaker. At the same time, the C–N single bonds become shorter and stronger. Twisting the molecule away from planarity around this bond is, therefore, made much more difcult.
The amide bond is the fundamental building block of proteins. Every third bond in the polymer chain is an amide bond. They have planar geometry, meaning that aplane can be dened by their atoms, as we saw with formamide. The folding of the polymer chain and the resulting spatial structure of the protein is determined by the twist angle at the plane of the amide bonds against each other (. Fig.14.2). The stiffness and planarity of the amide bonds determine the stability of the spatially folded protein. If one formulates aLewis formula for such an amide bond embedded in ahydrogen bond net­work, the polar nature with the double-bond character of this bond becomes clear (. Fig.14.1). In proteins, amide bonds practically only occur in the trans con- guration (except for amide bonds adjacent to proline
14
. Fig. 14.1 Formamide 14.1 is the smallest molecule that has an
amide group. Its molecular structure is shown on the left. Because of thermal motion in the solid state, the molecule carries out vibrational movements. Its electron density is, therefore, distributed over alarg­er area. This is described by using ellipsoids that encompass the 50% probability of occurrence of the atom (left). Two hydrogen bonds are incurred between the carbonyl group and the amide group of aneigh-
boring molecule in the crystal packing. An extended H-bond network stabilizes the crystal structure and polarizes the amide group. The bond lengths (inÅ) are different in the crystal structure and in the gas phase (Table). If we consider an amide bond in aprotein, it will also be involved in hydrogen-bond contacts (right). It can be expressed as aLewis formula, which indicates the polar nature and double bond character of the amide bond
. • Proteins Fold in Space to Form α-Helices and β-Strands

. Fig. 14.2 Left The spatial course of apolypeptide chain is deter-
mined by the relative orientation of the planar peptide bonds. The mutual twist of these planes against each other is measured on the basis of the two twisting or dihedral anglesΦ and Ψ. These do not assume any value around the bond axes, but rather are limited to afew
residues, which show both congurations). The only re­maining degrees of freedom for the polymer chain are the rotations about the entire amide bond planes. These rota­tions (Chap.16) occur around the bonds that lie between the Cα carbon atoms. As shown in the comparison of the bond length between gaseous and crystalline forma­mide, the decisive additional stiffening of the amide bond is caused by its incorporation into ahydrogen-bonding network.
α
β
Typically, the angles namedΦ andΨ are used to describe the two dihedral angles around the Cα carbon atom, and these angles usually take on value pairs from two ranges. These ranges are related to ahelical or sheet-like course of the polymer chain (. Fig.14.2). In an α-helix with aright-handed turn, all CO and NH groups orient in the same direction (. Fig.14.3). Between them, a H-bond network is formed. Each amino acid in the helix is in contact with the next fourth amino acid in the sequence.
combinations of value ranges. Right In the diagram, aso-called Ra­machandran plot, the values for both angles along the peptide chain are plotted. The angle combinations for an α-helix (. Fig.14.3) are found in the middle left, and those for aβ-pleated sheet (. Fig.14.4) in the top left
This unidirectional orientation of the polar groups of the amide bonds in an α-helix has consequences for the elec­trostatic properties, and asignicant dipole moment can build up along the helix (Sect.15.5). At the tip of such helices, preferred binding sites for positively or negatively charged particles are formed (cf. the architecture of ion channels, Sects.30.2 and30.8). While ahelix is composed of amino acids from asingle contiguous segment of the peptide chain, amino acids from at least two sequence segments must come together to form aβ-pleated sheet. Both strands can be bonded with each other in either aparallel or antiparallel orientation relative to the poly­mer chain (. Fig.14.4). This network exhibits adifferent progression of H-bonds for both orientations. The side chains alternate above and below the pleated sheet. The entire strand is slightly twisted upon itself. Because of this, apleated sheet of multiple strands has atwist to it when viewed from the side (. Fig.14.5).
In addition to these two common secondary struc­tures, there are other typical combinations of torsion an­gles. Apolymer chain that folds into aglobular structure in space must reverse its direction. This is accomplished in what is called the turn or loop region. Turns can be clas-
ab
Chapter  • Three-Dimensional Structure of Biomolecules
. Fig. 14.3 The α-helix is acommon-
ly found secondary structure. Left The polypeptide chain forms aright-hand­ed spiral with apitch of 7 Å, and
3.6amino acids per turn. All carbonyl groups (oxygen atoms red) are oriented parallel to the helix axis in the same di­rection. The NH functionalities (nitro­gen atoms blue, hydrogen atoms cyan) are oriented in the opposite direction. Right The groups form apronounced hydrogen-bonding network (violet dashed line) between themselves. The side chains(R) on the Cα atoms are on the outside pointing away from the helix axis. This creates atypical groove pattern that spirals across the surface. This “ridge and groove” pattern deter­mines the mutual packing of α-helices
in proteins
14
sied according to the number of amino acids involved and the type of interaction that closes the loop. Turns that form aC═OH–N hydrogen bond in the direction of the polymer chain, inverse turns with hydrogen bonds in the opposite direction, and open turns in the chain held together by van der Waals and polar interactions can be distinguished from one another (. Fig.14.6). Atotal of 158 turn classes have been summarized in acomprehen­sive evaluation by Oliver Koch.
What force governs the organization of aprotein? Amino acids have hydrophilic and hydrophobic side chains. Hydrophobic groups avoid aqueous environ-
ments (Sect.4.2). During folding of the polymer chain in an aqueous medium, the hydrophobic amino acids aggregate to diminish their shared hydrophobic surface area. Therefore, the hydrophobic amino acids are pre­dominantly found in the interior of a folded protein. The polar groups of the main chain amide bonds are saturated in the secondary structure by hydrogen bonds. The side chains of polar amino acids will only be found
inside aprotein if they can form apolar interaction with another surrounding amino acid. Otherwise, they are oriented towards the outside of the protein, protruding into the surrounding water environment. Proteins can also span acell membrane. In the areas where they are in contact with the membrane, they have alarge, contiguous hydrophobic surface (Sect.14.7). The packing density inside the protein is of the same order of magnitude as that found in crystals of small organic molecules. The interactions that determine the molecular packing are virtually identical in both cases.
. • Proteins Fold in Space to Form α-Helices and β-Strands

. Fig. 14.4 A second important secondary structure, the β-strand
is composed of multiple sections of the polymer chain that exist in astretched conformation (top). The strands can run parallel or an­tiparallel. They are crosslinked to each other via hydrogen bonds
. Fig. 14.5 Within aβ-pleated sheet of multiple strands, here shown
with aparallel orientation, aright-handed twist occurs. For simpli­cation, the single β-strands are indicated with an arrow. The twist can
(violet). The sheet-like structure displays azigzag fold and is called aβ-pleated sheet. The side chains(R) of the amino acids point away from it, alternating above and below the pleated sheet
be seen by the internal rotation of the arrow. The pleated sheet here is shown in two perpendicular views