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J M Thornton

Publications and source records attributed to J M Thornton.

At least 109 records · Page 6Linked to original sources

AQUA and PROCHECK-NMR: programs for checking the quality of protein structures solved by NMR.

The AQUA and PROCHECK-NMR programs provide a means of validating the geometry and restraint violations of an ensemble of protein structures solved by solution NMR. The outputs include a detailed breakdown of the restraint violations, a number of plots in PostScript format and summary statistics. These various analyses indicate both the degree of agreement of the model structures with the experimental dat, and the quality of their geometrical properties. They are intended to be of use both to support ongoing NMR structure determination and in the validation of the final results.

Amino Acid Sequence↗

Potential energy functions for threading.

Despite little progress in ab initio solutions to the problem of predicting a protein's tertiary structure, over the past four years or so the development of fold-recognition methods for tertiary structure prediction has been the source of some encouragement in this difficult field. Despite promising initial results, these methods are clearly not yet fully mature and many groups are now working on different aspects of the methods involved in the hope of increasing the reliability and sensitivity of these tools.

Protein Folding↗

Protein fold recognition by sequence threading: tools and assessment techniques.

Protein fold recognition has been approached by threading an amino acid sequence onto a library of folds, calculating a sequence-structure compatibility score, and ranking these scores. Due to imperfections in the empirically derived pairwise potential functions and the necessarily heuristic approach to the sequence-structure alignment problem, the method benefits from the assessment of threaded models to evaluate the most probable structures among the list of possible folds. THREADER and ANALYST, software tools available through the Internet, facilitate the alignment and assessment steps of a threading prediction. No process has been found to be universally reliable for the detection of folds related to the structure of a known input sequence, but several useful steps and approaches are discussed.

Algorithms↗

Solution structure of a biologically active cyclic LDV peptide analogue containing a type II' beta-turn mimetic.

The solution structure of cyclo-[Gly-Leu-Asp-Val-BTD] (BTD = beta-turn dipeptide) has been determined by two-dimensional 1H-NMR (nuclear magnetic resonance) spectroscopy and systematic conformational searching combined with molecular dynamics studies. The structure contains two hydrogen bonds between the Gly and Val residues, and a type I beta-turn with Leu and Asp at the (i + 1) and (i + 2) positions of the turn. The cyclic compound shows activity in a scintillation proximity assay (SPA) for the inhibition of the interaction between the integrin alpha 4 beta 1 and vascular cell adhesion molecule-1 (VCAM-I). The structure-activity relationship of the LDV sequence is discussed.

Cloning, Molecular↗

Macromolecular structure information and databases. The EU BRIDGE Database Project Consortium.

The current status and future outlook of macromolecular structure databases and information handling, with particular reference to European databases, are reviewed. Issues concerning the efficiency with which data are represented, validated, archived and accessed are discussed in view of the fast growing body of information on structures of biological macromolecules.

Databases, Factual↗

Protein folds: towards understanding folding from inspection of native structures.

Following a short summary of some of the principal features of folded proteins, the results of two complementary studies of protein structure are presented, the first concerned with the factors which influence secondary structure propensity and the second an analysis of protein topology. In an attempt to deconvolute the physical contributions to secondary structure propensities, we have calculated intrinsic phi, psi propensities, derived from the coil regions of proteins. Comparison of intrinsic phi, psi propensities with their equivalent secondary structure values show correlations for both helix and strand. This suggests that the local dipeptide, steric and electrostatic interactions have a major influence on secondary structure propensity. We then proceed to inspect the distribution of protein domain folds observed to date. Several folds occur very commonly, so that 46% of the current non-homologous database comprises only nine folds. The implications of these results for protein folding are discussed.

Computer Simulation↗

Structural similarity between the pleckstrin homology domain and verotoxin: the problem of measuring and evaluating structural similarity.

An unexpected structural similarity is described between the pleckstrin homology (PH) domain and verotoxin. This similarity has escaped detection primarily due to the differences in topology that exist between the two proteins. By comparing this result with two previously reported similarities for the PH domain, one with the lipocalins and another with the FK506 binding protein, we discuss the problems of measuring and assessing structural similarities.

Amino Acid Sequence↗

Successful protein fold recognition by optimal sequence threading validated by rigorous blind testing.

Analysis of the results of the recent protein structure prediction experiment for our method shows that we achieved a high level of success. Of the 18 available prediction targets of known structure, the assessors have identified 11 chains which either entirely match a previously known fold, or which partially match a substantial region of a known fold. Of these 11 chains, we made predictions for 9, and correctly assigned the folds in 5 cases. We have also identified a further 2 chains which also partially match known folds, and both of these were correctly predicted. The success rate for our method under blind testing is therefore 7 out of 11 chains. A further 2 folds could have easily been recognized but failed due to either overzealous filtering of potential matches, or to simple human error on our part. One of the two targets for which we did not submit a prediction, prosubtilisin, would not have been recognized by our usual criteria, but even in this case, it is possible that a correct prediction could have been made by considering a combination of pairwise energy and solvation energy Z-scores. Inspection of the threading alignments for the (alpha beta)8 barrels provides clues as to how fold recognition by threading works, in that these folds are recognized by parts rather than as a whole. The prospects for developing sequence threading technology further is discussed.

Algorithms↗

Intrinsic phi, psi propensities of amino acids, derived from the coil regions of known structures.

Many different factors contribute to secondary structure propensities, including phi, psi preferences, side-chain interactions, steric effects and hydrophobic tertiary contacts. To deconvolute these competing factors, we have adopted a novel approach which quantifies the intrinsic phi, psi propensities for residues in coil regions (that is, residues not in alpha-helix and not in beta-strand). Comparisons of intrinsic phi, psi propensities with their equivalent secondary structure propensities show that while correlations for helix are relatively weak, those for strand are much stronger. This paper describes our new phi, psi propensities and provides an explanation for the variations observed.

Amino Acids↗

Long loops in proteins.

In proteins, loop regions which connect secondary structures are generally short (80% are <10 amino acids long). However, long loops, defined here as > or = 10 residues, do occur. Two types of long loop may be distinguished: those which connect adjacent regions of secondary structure ('long-closed') and those which connect distant secondary structures ('long-open'). Only 5% of all loops in proteins fall into the long-open class. Inspection of these unusual long-open loops reveals a higher percentage of proline residues and more helix-helix linkages than expected. Exposure to solvent is similar for long-open and long-closed loops. The role of these loops in protein folding is discussed.

Amino Acid Sequence↗

LIGPLOT: a program to generate schematic diagrams of protein-ligand interactions.

The LIGPLOT program automatically generates schematic 2-D representations of protein-ligand complexes from standard Protein Data Bank file input. The output is a colour, or black-and-white, PostScript file giving a simple and informative representation of the intermolecular interactions and their strengths, including hydrogen bonds, hydrophobic interactions and atom accessibilities. The program is completely general for any ligand and can also be used to show other types of interaction in proteins and nucleic acids. It was designed to facilitate the rapid inspection of many enzyme complexes, but has found many other applications.

Algorithms↗

The application of hydrogen bonding analysis in X-ray crystallography to help orientate asparagine, glutamine and histidine side chains.

Protein X-ray crystallography produces an electron density map that rarely detects individual hydrogen atoms or distinguishes between carbon, nitrogen and oxygen atoms in the electron density. This makes it difficult to orientate the side chains of Asn, Gln and His, which appear symmetrical in the electron density; their orientation is usually judged on the basis of hydrogen bonding. Based on the observation that almost all buried donors and acceptors are satisfied, we have developed a simple algorithm to compare the alternative conformations of these residues and, where possible, identify the most favourable. In a cross-section of protein structures we found a few side chains (15.0% of Asn and Gln and 9.9% of His) which would be more favourable in the alternative orientation. We have also found that this proportion rises slightly with worsening resolution.

Algorithms↗

Protein superfamilies and domain superfolds.

As the protein sequence and structure databases expand rapidly a better understanding of the relationships between proteins is required. A classification is considered that extends the sequence-based superfamilies to include proteins with similar function and three-dimensional structures but no sequence similarity. So far there are only nine protein folds known to recur in proteins having neither sequence nor functional similarity. These folds dominate the structure database, representing more than 30 per cent of all determined structures. This observation has implications for protein-fold recognition.

Algorithms↗

Amino/aromatic interactions in proteins: is the evidence stacked against hydrogen bonding?

We investigate the suggestion that aromatic rings can act as hydrogen-bond acceptors in proteins, by an analysis of 55 non-homologous high-resolution protein chain structures. Approximately 10% of interactions between sp2 hybridized nitrogen atoms, from either side-chains or main-chains, and phenylalanine or tyrosine rings have the nitrogen atom positioned above the ring. In these instances, however, the sp2 nitrogen atoms tend to form stacked interactions with the aromatic rings, these geometries outnumbering amino/aromatic hydrogen bonds by around 2.5:1. The statistically expected distribution, in contrast, would have only a few stacked structures and many more with larger interplanar angles, corresponding to amino/aromatic hydrogen bonds. Thus, although we do find some of these unconventional hydrogen bonds, they are clearly disfavoured relative to stacked geometries. In stacked geometries, the nitrogen-bearing groups are observed to fulfil their hydrogen-bonding potential by forming conventional, energetically stronger, hydrogen bonds with other groups in protein or solvent. This may explain the favourability of stacking. Thus, although ab initio calculations of the gas phase interaction energies for three model systems generally favour the amino/aromatic hydrogen-bonded over the stacked geometries, the differences are small enough to be outweighed easily by the additional conventional hydrogen bonding in stacked structures.

Amino Acid Sequence↗

Satisfying hydrogen bonding potential in proteins.

We have analysed the frequency with which potential hydrogen bond donors and acceptors are satisfied in protein molecules. There are a small percentage of nitrogen or oxygen atoms that do not form hydrogen bonds with either solvent or protein atoms, when standard criteria are used. For high resolution structures 9.5% and 5.1% of buried main-chain nitrogen and oxygen atoms, respectively, fail to hydrogen bond under our standard criteria, representing 5.8% and 2.1% of all main-chain nitrogen and oxygen atoms. We find that as the resolution of the data improves, the percentages fall. If the hydrogen bond criteria are relaxed many of these unsatisfied atoms form weak hydrogen bonds. However, there remain some buried atoms (1.3% NH and 1.8% CO) that fail to hydrogen bond without any immediately obvious compensating interactions.

Algorithms↗

A model recognition approach to the prediction of all-helical membrane protein structure and topology.

This paper describes a new method for the prediction of the secondary structure and topology of integral membrane proteins based on the recognition of topological models. The method employs a set of statistical tables (log likelihoods) complied from well-characterized membrane protein data, and a novel dynamic programming algorithm to recognize membrane topology models by expectation maximization. The statistical tables show definite biases toward certain amino acid species on the inside, middle, and outside of a cellular membrane. Using a set of 83 integral membrane protein sequences taken from a variety of bacterial, plant, and animal species, and a strict jackknifing procedure, where each protein (along with any detectable homologues) is removed from the training set used to calculate the tables before prediction, the method successfully predicted 64 of the 83 topologies, and of the 37 complex multispanning topologies 34 were predicted correctly.

Animals↗