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A critical assessment of comparative molecular modeling of tertiary structures of proteins.

In spite of the tremendous increase in the rate at which protein structures are being determined, there is still an enormous gap between the numbers of known DNA-derived sequences and the numbers of three-dimensional structures. In order to shed light on the biological functions of the molecules, researchers often resort to comparative molecular modeling. Earlier work has shown that when the sequence alignment is in error, then the comparative model is guaranteed to be wrong. In addition, loops, the sites of insertions and deletions in families of homologous proteins, are exceedingly difficult to model. Thus, many of the current problems in comparative molecular modeling are minor versions of the global protein folding problem. In order to assess objectively the current state of comparative molecular modeling, 13 groups submitted blind predictions of seven different proteins of undisclosed tertiary structure. This assessment shows that where sequence identity between the target and the template structure is high (> 70%), comparative molecular modeling is highly successful. On the other hand, automated modeling techniques and sophisticated energy minimization methods fail to improve upon the starting structures when the sequence identity is low (approximately 30%). Based on these results it appears that insertions and deletions are still major problems. Successfully deducing the correct sequence alignment when the local similarity is low is still difficult. We suggest some minimal testing of submitted coordinates that should be required of authors before papers on comparative molecular modeling are accepted for publication in journals.

Amino Acid Sequence↗

Prediction of protein supersecondary structures based on the artificial neural network method.

The sequence patterns of 11 types of frequently occurring connecting peptides, which lead to a classification of supersecondary motifs, were studied. A database of protein supersecondary motifs was set up. An artificial neural network method, i.e. the back propagation neural network, was applied to the predictions of the supersecondary motifs from protein sequences. The prediction correctness ratios are higher than 70%, and many of them vary from 75 to 82%. These results are useful for the further study of the relationship between the structure and function of proteins. It may also provide some important information about protein design and the prediction of protein tertiary structure.

Amino Acid Sequence↗

PDBSite: a database of the 3D structure of protein functional sites.

The PDBSite database provides comprehensive structural and functional information on various protein sites (post-translational modification, catalytic active, organic and inorganic ligand binding, protein-protein, protein-DNA and protein-RNA interactions) in the Protein Data Bank (PDB). The PDBSite is available online at http://wwwmgs.bionet.nsc.ru/mgs/gnw/pdbsite/. It consists of functional sites extracted from PDB using the SITE records and of an additional set containing the protein interaction sites inferred from the contact residues in heterocomplexes. The PDBSite was set up by automated processing of the PDB. The PDBSite database can be queried through the functional description and the structural characteristics of the site and its environment. The PDBSite is integrated with the PDBSiteScan tool allowing structural comparisons of a protein against the functional sites. The PDBSite enables the recognition of functional sites in protein tertiary structures, providing annotation of function through structure. The PDBSite is updated after each new PDB release.

Binding Sites↗

Polynitrosylated proteins: characterization, bioactivity, and functional consequences.

Chemical modification of proteins is a common theme in their regulation. Nitrosylation of protein sulfhydryl groups has been shown to confer nitric oxide (NO)-like biological activities and to regulate protein functions. Several other nucleophilic side chains -- including those with hydroxyls, amines, and aromatic carbons -- are also potentially susceptible to nitrosative attack. Therefore, we examined the reactivity and functional consequences of nitros(yl)ation at a variety of nucleophilic centers in biological molecules. Chemical analysis and spectroscopic studies show that nitrosation reactions are sustained at sulfur, oxygen, nitrogen, and aromatic carbon centers, with thiols being the most reactive functionality. The exemplary protein, BSA, in the presence of a 1-, 20-, 100-, or 200-fold excess of nitrosating equivalents removes 0.6 +/- 0.2, 3.2 +/- 0.4, 18 +/- 4, and 38 +/- 10, respectively, moles of NO equivalents per mole of BSA from the reaction medium; spectroscopic evidence shows the proportionate formation of a polynitrosylated protein. Analogous reaction of tissue-type plasminogen activator yields comparable NO protein stoichiometries. Disruption of protein tertiary structure by reduction results in the preferential nitrosylation of up to 20 thus-exposed thiol groups. The polynitrosylated proteins exhibit antiplatelet and vasodilator activity that increases with the degree of nitrosation, but S-nitroso derivatives show the greatest NO-related bioactivity. Studies on enzymatic activity of tissue-type plasminogen activator show that polynitrosylation may lead to attenuated function. Moreover, the reactivity of tyrosine residues in proteins raises the possibility that NO could disrupt processes regulated by phosphorylation. Polynitrosylated proteins were found in reaction mixtures containing interferon-gamma/lipopolysaccharide-stimulated macrophages and in tracheal secretions of subjects treated with NO gas, thus suggesting their physiological relevance. In conclusion, multiple sites on proteins are susceptible to attack by nitrogen oxides. Thiol groups are preferentially modified, supporting the notion that S-nitrosylation can serve to regulate protein function. Nitrosation reactions sustained at additional nucleophilic centers may have (patho)physiological significance and suggest a facile route by which abundant NO bioactivity can be delivered to a biological system, with specificity dictated by protein substrate.

Animals↗

New approaches to the dynamic interpretation and prediction of NMR relaxation data from proteins.

NMR relaxation experiments of isotopically labeled proteins provide a wealth of information on reorientational global and local dynamics on nanosecond and subnanosecond timescales for folded and nonfolded proteins in solution. Recent methodological advances in the interpretation of relaxation data have led to a better understanding of the overall tumbling behavior, the separability of internal and overall motions, and the presence of correlated dynamics between different nuclear sites, as well as to new insights into the relationship between reorientational dynamics and primary and tertiary protein structure. Some of the new methods are particularly useful when dealing with nonfolded protein states.

Algorithms↗

Interaction geometry involving planar groups in protein-protein interfaces.

The geometry of interactions of planar residues is nonrandom in protein tertiary structures and gives rise to conventional, as well as nonconventional (X--H...pi, X--H...O, where X = C, N, or O) hydrogen bonds. Whether a similar geometry is maintained when the interaction is across the protein-protein interface is addressed here. The relative geometries of interactions involving planar residues, and the percentage of contacts giving rise to different types of hydrogen bonds are quite similar in protein structures and the biological interfaces formed by protein chains in homodimers and protein-protein heterocomplexes--thus pointing to the similarity of chemical interactions that occurs during protein folding and binding. However, the percentage is considerably smaller in the nonspecific and nonphysiological interfaces that are formed in crystal lattices of monomeric proteins. The C--H...O interaction linking the aromatic and the peptide groups is quite common in protein structures as well as the three types of interfaces. However, as the interfaces formed by crystal contacts are depleted in aromatic residues, the weaker hydrogen bond interactions would contribute less toward their stability.

Amino Acids↗

Identification of amino acids involved in protein structural uniqueness: implication for de novo protein design.

Structural uniqueness is characteristic of native proteins and is essential to express their biological functions. The major factors that bring about the uniqueness are specific interactions between hydrophobic residues and their unique packing in the protein core. To find the origin of the uniqueness in their amino acid sequences, we analyzed the distribution of the side chain rotational isomers (rotamers) of hydrophobic amino acids in protein tertiary structures and derived deltaS(contact), the conformational-entropy changes of side chains by residue-residue contacts in each secondary structure. The deltaS(contact) values indicate distinct tendencies of the residue pairs to restrict side chain conformation by inter-residue contacts. Of the hydrophobic residues in alpha-helices, aliphatic residues (Leu, Val, Ile) strongly restrict the side chain conformations of each other. In beta-sheets, Met is most strongly restricted by contact with Ile, whereas Leu, Val and Ile are less affected by other residues in contact than those in alpha-helices. In designed and native protein variants, deltaS(contact) was found to correlate with the folding-unfolding cooperativity. Thus, it can be used as a specificity parameter for designing artificial proteins with a unique structure.

Amino Acid Sequence↗

Secondary and tertiary structural effects on protein NMR chemical shifts: an ab initio approach.

Recent theoretical developments permit the prediction of 1H, 13C, 15N, and 19F nuclear magnetic resonance chemical shifts in proteins and offer new ways of analyzing secondary and tertiary structure as well as for probing protein electrostatics. For 13C, phi, psi torsion angles dominate shielding for C alpha and C beta, but the addition of hydrogen bonding and electrostatics gives even better accord with experiment. For 15NH, side chain (chi 1) torsion angles are also important, as are nearest neighbor sequence effects, whereas for 1HN, hydrogen bonding is particularly significant. For 19F, weak or long-range electrostatic fields dominate 19F shielding nonequivalencies. The ability to predict chemical shifts in proteins from known or test structures opens new avenues to structure refinement or determination, especially for condensed systems.

Bacterial Proteins↗

Protein decoy sets for evaluating energy functions.

Energy functions are crucial ingredients of protein tertiary structure prediction methods. Assessing the quality of energy functions is therefore of prime importance. It requires the elaboration of a standard evaluation scheme, whose key elements are: i). sets that contain the native and several non-native structures of proteins (decoys) in order to test whether the energy functions display the expected quality features and ii). measures to evaluate the reliability of energy functions. We present here a survey of the recent advances in these two related fields. In a first part, we analyze and review the large number of decoy sets that are available on the web, and we summarize the characteristics of a challenging decoy set. We then discuss how to define the quality of energy functions and review the measures related to it.

Amino Acid Sequence↗

Intramolecular cavities in globular proteins.

An analysis of internal cavities in 121 protein chains has been undertaken to improve the characterization of their occurrence, morphology and role in protein tertiary structure, including an analysis of the optimal probe size for use in their detection. A number of basic cavity characteristics were elucidated. Cavities are non-artefactual and apparently independent of the method of structure determination, resolution and refinement of the data. Overall cavity volume increases with protein size and yet constitutes only a small fraction of the total protein volume but cavities are nearly always present in proteins > 100 residues in size. They are most commonly found in the protein core. 'Empty' and solvent-containing cavities have been compared and solvated cavities found to possess a more polar surface; the two classes are also seen to exhibit different amino acid type and secondary structural preferences. In general, residues that enclose cavities do not display any extra local mobility relative to their surrounding environments. Water-containing cavities do not impose volume restrictions upon their internal solvent beyond that of bulk solvent and permit good hydrogen bonding. These results should prove useful in protein modelling and design.

Amino Acids↗

Ab initio fold prediction of small helical proteins using distance geometry and knowledge-based scoring functions.

The problem of protein tertiary structure prediction from primary sequence can be separated into two subproblems: generation of a library of possible folds and specification of a best fold given the library. A distance geometry procedure based on random pairwise metrization with good sampling properties was used to generate a library of 500 possible structures for each of 11 small helical proteins. The input to distance geometry consisted of sets of restraints to enforce predicted helical secondary structure and a generic range of 5 to 11 A between predicted contact residues on all pairs of helices. For each of the 11 targets, the resulting library contained structures with low RMSD versus the native structure. Near-native sampling was enhanced by at least three orders of magnitude compared to a random sampling of compact folds. All library members were scored with a combination of an all-atom distance-dependent function, a residue pair-potential, and a hydrophobicity function. In six of the 11 cases, the best-ranking fold was considered to be near native. Each library was also reduced to a final ab initio prediction via consensus distance geometry performed over the 50 best-ranking structures from the full set of 500. The consensus results were of generally higher quality, yielding six predictions within 6.5 A of the native fold. These favorable predictions corresponded to those for which the correlation between the RMSD and the scoring function were highest. The advantage of the reported methodology is its extreme simplicity and potential for including other types of structural restraints.

Protein Folding↗

A method for detecting hydrophobic patches on protein surfaces.

A method for the detection of hydrophobic patches on the surfaces of protein tertiary structures is presented. It delineates explicit contiguous pieces of surface of arbitrary size and shape that consist solely of carbon and sulphur atoms using a dot representation of the solvent-accessible surface. The technique is also useful in detecting surface segments with other characteristics, such as polar patches. Its potential as a tool in the study of protein-protein interactions and substrate recognition is demonstrated by applying the method to myoglobin, Leu/IIe/Val-binding protein, lipase, lysozyme, azurin, triose phosphate isomerase, carbonic anhydrase, and phosphoglycerate kinase. Only the largest patches, having sizes exceeding random expectation, are deemed meaningful. In addition to well-known hydrophobic patches on these proteins, a number of other patches are found, and their significance is discussed. The method is simple, fast, and robust. The program text is obtainable by anonymous ftp.

Models, Molecular↗

Tutorial section: domains and motifs - proteins in bite-sized chunks.

Possibly the ultimate goal of bioinformatics is to be able to predict protein tertiary structure and chemical functionality from the initial amino acid sequence. Despite the best efforts of many researchers over the past two decades, a reliable modelling method has yet to be found and the folding problem continues to be a hurdle for scientists.

Amino Acid Motifs↗

P-cats: prediction of catalytic residues in proteins from their tertiary structures.

UNLABELLED: P-cats is a web server that predicts the catalytic residues in proteins from the atomic coordinates. P-cats receives a coordinate file of the tertiary structure and sends out analytical results via e-mail. The reply contains a summary and two URLs to allow the user to examine the conserved residues: one for interactive images of the prediction results and the other for a graphical view of the multiple sequence alignment. AVAILABILITY: P-cats is freely available at http://p-cats.hgc.jp/p-cats CONTACT: kino@ims.u-tokyo.ac.jp

Algorithms↗

Does secondary structure determine tertiary structure in proteins?

Is highly approximate knowledge of a protein's backbone structure sufficient to successfully identify its family, superfamily, and tertiary fold? To explore this question, backbone dihedral angles were extracted from the known three-dimensional structure of 2,439 proteins and mapped into 36 labeled, 60 degrees x 60 degrees bins, called mesostates. Using this coarse-grained mapping, protein conformation can be approximated by a linear sequence of mesostates. These linear strings can then be aligned and assessed by conventional sequence-comparison methods. We report that the mesostate sequence is sufficient to recognize a protein's family, superfamily, and fold with good fidelity.

Algorithms↗

Bhageerath: an energy based web enabled computer software suite for limiting the search space of tertiary structures of small globular proteins.

We describe here an energy based computer software suite for narrowing down the search space of tertiary structures of small globular proteins. The protocol comprises eight different computational modules that form an automated pipeline. It combines physics based potentials with biophysical filters to arrive at 10 plausible candidate structures starting from sequence and secondary structure information. The methodology has been validated here on 50 small globular proteins consisting of 2-3 helices and strands with known tertiary structures. For each of these proteins, a structure within 3-6 A RMSD (root mean square deviation) of the native has been obtained in the 10 lowest energy structures. The protocol has been web enabled and is accessible at http://www.scfbio-iitd.res.in/bhageerath.

Computational Biology↗

Protein damage and degradation by oxygen radicals. III. Modification of secondary and tertiary structure.

Proteins which have been exposed to the hydroxyl radical (.OH) or to the combination of .OH plus the superoxide anion radical and oxygen (.OH + O2- + O2) exhibit altered primary structure and increased proteolytic susceptibility. The present work reveals that alterations to primary structure result in gross distortions of secondary and tertiary structure. Denaturation/increased hydrophobicity of bovine serum albumin (BSA) by .OH, or by .OH + O2- + O2 was maximal at a radical/BSA molar ratio of 24 (all .OH or 50% .OH + 50% O2-). BSA exposed to .OH also underwent progressive covalent cross-linking to form dimers, trimers, and tetramers, partially due to the formation of intermolecular bityrosine. In contrast, .OH + O2- + O2 caused spontaneous BSA fragmentation. Fragmentation of BSA produced new carbonyl groups with no apparent increase in free amino groups. Fragmentation may involve reaction of (.OH-induced) alpha-carbon radicals with O2 to form peroxyl radicals which decompose to fragment the polypeptide chain at the alpha-carbon, rather than at peptide bonds. BSA fragments induced by .OH + O2- + O2 exhibited molecular weights of 7,000-60,000 following electrophoresis under denaturing conditions, but could be visualized as hydrophobic aggregates in nondenaturing gels (confirmed with [3H]BSA following treatment with urea or acid). Combinations of various chemical radical scavengers (mannitol, urate, t-butyl alcohol, isopropyl alcohol) and gases (N2O, O2, N2) revealed that .OH is the primary species responsible for alteration of BSA secondary and tertiary structure. Oxygen, and O2- serve only to modify the outcome of .OH reaction. Furthermore, direct studies of O2- + O2 (in the absence of .OH) revealed no measurable changes in BSA structure. The process of denaturation/increased hydrophobicity was found to precede either covalent cross-linking (by .OH) or fragmentation (by .OH + O2- + O2). Denaturation was half-maximal at a radical/BSA molar ratio of 9.6, whereas half-maximal aggregation or fragmentation occurred at a ratio of 19.4. Denaturation/hydrophobicity may hold important clues for the mechanism(s) by which oxygen radicals can increase proteolytic susceptibility.

Free Radicals↗

The PSSH database of alignments between protein sequences and tertiary structures.

We introduce the PSSH ('Protein Sequence-to-Structure Homologies') database derived from HSSP2, an improved version of the HSSP ('Homology-derived Secondary Structure of Proteins') database [Dodge et al. (1998) Nucleic Acids Res., 26, 313-315]. Whereas each HSSP entry lists all protein sequences related to a given 3D structure, PSSH is the 'inverse', with each entry listing all structures related to a given sequence. In addition, we introduce two other derived databases: HSSPchain, in which each entry lists all sequences related to a given PDB chain, and HSSPalign, in which each entry gives details of one sequence aligned onto one PDB chain. This re-organization makes it easier to navigate from sequence to structure, and to map sequence features onto 3D structures. Currently (September 2002), PSSH provides structural information for over 400 000 protein sequences, covering 48% of SWALL and 61% of SWISS-PROT sequences; HSSPchain provides sequence information for over 25 000 PDB chains, and HSSPalign gives over 14 million sequence-to-structure alignments. The databases can be accessed via SRS 3D, an extension to the SRS system, at http://srs3d.ebi.ac.uk/.

Animals↗