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T J Hubbard

Publications and source records attributed to T J Hubbard.

At least 19 recordsLinked to original sources

SCOP: a structural classification of proteins database.

The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of known protein structures. The classification is on hierarchical levels: the first two levels, family and superfamily, describe near and distant evolutionary relationships; the third, fold, describes geometrical relationships. The distinction between evolutionary relationships and those that arise from the physics and chemistry of proteins is a feature that is unique to this database so far. The sequences of proteins in SCOP provide the basis of the ASTRAL sequence libraries that can be used as a source of data to calibrate sequence search algorithms and for the generation of statistics on, or selections of, protein structures. Links can be made from SCOP to PDB-ISL: a library containing sequences homologous to proteins of known structure. Sequences of proteins of unknown structure can be matched to distantly related proteins of known structure by using pairwise sequence comparison methods to find homologues in PDB-ISL. The database and its associated files are freely accessible from a number of WWW sites mirrored from URL http://scop.mrc-lmb.cam.ac.uk/scop/

Databases, Factual↗

A browser for expression data.

SUMMARY: We have written a fully extensible Java application for visually browsing expression data, and clusters of genes or experimental conditions calculated from that data. The application requires a run-time environment for Java2. AVAILABILITY: http://www. sanger.ac.uk/Users/mrp/java/ExpressionBrowser

Databases, Factual↗

Exploiting the septum for maximal tip control.

Manipulating tip projection and rotation is among the greater challenges in aesthetic surgery. Among common current techniques such as columellar struts and projecting tip grafts, all have considerable failure rates and/or complications. Powerful static and dynamic forces act on the tip, and unfortunately their magnitude and direction vary greatly from the time of surgery when decisions are made to the postoperative period. Traditional techniques have not taken sufficient advantage of the one neighboring stable structure--the septum. Through direct straddling, the medial crura on the septum or the more commonly applicable septal extension graft, tip placement at the end of surgery will vary minimally postoperatively.

Adolescent↗

SCOP: a Structural Classification of Proteins database.

The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of all known proteins structures. The classification is on hierarchical levels: the first two levels, family and superfamily, describe near and far evolutionary relationships; the third, fold, describes geometrical relationships. The distinction between evolutionary relationships and those that arise from the physics and chemistry of proteins is a feature that is unique to this database, so far. The database can be used as a source of data to calibrate sequence search algorithms and for the generation of population statistics on protein structures. The database and its associated files are freely accessible from a number of WWW sites mirrored from URL http://scop. mrc-lmb.cam.ac.uk/scop/

Algorithms↗

RMS/coverage graphs: a qualitative method for comparing three-dimensional protein structure predictions.

Evaluating a set of protein structure predictions is difficult as each prediction may omit different residues and different parts of the structure may have different accuracies. A method is described that captures the best results from a large number of alternative sequence-dependent structural superpositions between a prediction and the experimental structure and represents them as a single line on a graph. Applied to CASP2 and CASP3 data the best predictions stand out visually in most cases, as judged by manual inspection. The results from this method applied to CASP data are available from the URLs http:/(/)PredictionCenter. llnl.gov/casp3/results/th/ and http:/(/)www.sanger.ac.uk/ approximately th/casp/.

Computer Graphics↗

SCOP, Structural Classification of Proteins database: applications to evaluation of the effectiveness of sequence alignment methods and statistics of protein structural data.

The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of all known protein structures. The classification is on hierarchical levels: the first two levels, family and superfamily, describe near and far evolutionary relationships; the third, fold, describes geometrical relationships. The distinction between evolutionary relationships and those that arise from the physics and chemistry of proteins is a feature that is unique to this database, so far. The database can be used as a source of data to calibrate sequence search algorithms and for the generation of population statistics on protein structures. The database and its associated files are freely accessible from a number of WWW sites mirrored from URL http://scop. mrc-lmb.cam.ac.uk/scop/.

Algorithms↗

Assessing sequence comparison methods with reliable structurally identified distant evolutionary relationships.

Pairwise sequence comparison methods have been assessed using proteins whose relationships are known reliably from their structures and functions, as described in the SCOP database [Murzin, A. G., Brenner, S. E., Hubbard, T. & Chothia C. (1995) J. Mol. Biol. 247, 536-540]. The evaluation tested the programs BLAST [Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. (1990). J. Mol. Biol. 215, 403-410], WU-BLAST2 [Altschul, S. F. & Gish, W. (1996) Methods Enzymol. 266, 460-480], FASTA [Pearson, W. R. & Lipman, D. J. (1988) Proc. Natl. Acad. Sci. USA 85, 2444-2448], and SSEARCH [Smith, T. F. & Waterman, M. S. (1981) J. Mol. Biol. 147, 195-197] and their scoring schemes. The error rate of all algorithms is greatly reduced by using statistical scores to evaluate matches rather than percentage identity or raw scores. The E-value statistical scores of SSEARCH and FASTA are reliable: the number of false positives found in our tests agrees well with the scores reported. However, the P-values reported by BLAST and WU-BLAST2 exaggerate significance by orders of magnitude. SSEARCH, FASTA ktup = 1, and WU-BLAST2 perform best, and they are capable of detecting almost all relationships between proteins whose sequence identities are >30%. For more distantly related proteins, they do much less well; only one-half of the relationships between proteins with 20-30% identity are found. Because many homologs have low sequence similarity, most distant relationships cannot be detected by any pairwise comparison method; however, those which are identified may be used with confidence.

Algorithms↗

Bridge narrowing in ethnic noses.

In certain ethnic noses with a relative lack of dorsal projection, patients often request a narrowed appearance on frontal view. There is little debate about the benefits of dorsal augmentation, but considerable disagreement about concomitant osteotomies. In a series of six African-American and Asian rhinoplasties, the author has addressed the wide-bridge appearance with dorsal augmentation alone, without osteotomies. Gore-Tex or cartilage was used for the augmentation. All patients were satisfied with the apparent bridge narrowing on frontal view.

Cartilage↗

The solution structure of the S1 RNA binding domain: a member of an ancient nucleic acid-binding fold.

The S1 domain, originally identified in ribosomal protein S1, is found in a large number of RNA-associated proteins. The structure of the S1 RNA-binding domain from the E. coli polynucleotide phosphorylase has been determined using NMR methods and consists of a five-stranded antiparallel beta barrel. Conserved residues on one face of the barrel and adjacent loops form the putative RNA-binding site. The structure of the S1 domain is very similar to that of cold shock protein, suggesting that they are both derived from an ancient nucleic acid-binding protein. Enhanced sequence searches reveal hitherto unidentified S1 domains in RNase E, RNase II, NusA, EMB-5, and other proteins.

Amino Acid Sequence↗

SCOP: a structural classification of proteins database.

The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of all known proteins structures. The classification is on hierarchical levels: the first two levels, family and superfamily, describe near and far evolutionary relationships; the third, fold, describes geometrical relationships. The distinction between evolutionary relationships and those that arise from the physics and chemistry of proteins is a feature that is unique to this database, so far. SCOP also provides for each structure links to atomic co-ordinates, images of the structures, interactive viewers, sequence data, data on any conformational changes related to function and literature references. The database is freely accessible on the World Wide Web (WWW) with an entry point at URL http://scop.mrc-lmb.cam.ac.uk/scop/

Amino Acid Sequence↗

Numerical criteria for the evaluation of ab initio predictions of protein structure.

As part of the CASP2 protein structure prediction experiment, a set of numerical criteria were defined for the evaluation of "ab initio" predictions. The evaluation package comprises a series of electronic submission formats, a submission validator, evaluation software, and a series of scripts to summarize the results for the CASP2 meeting and for presentation via the World Wide Web (WWW). The evaluation package is accessible for use on new predictions via WWW so that results can be compared to those submitted to CASP2. With further input from the community, the evaluation criteria are expected to evolve into a comprehensive set of measures capturing the overall quality of a prediction as well as critical detail essential for further development of prediction methods. We discuss present measures, limitations of the current criteria, and possible improvements.

Amino Acid Sequence↗

New horizons in sequence analysis.

An ever increasing number of protein sequences are being compared, partly because of the availability of full sets of protein sequences from several completed genome-sequencing projects. The resulting problem of scale has shifted the emphasis of sequence analysis method development from sensitivity and flexibility, which relies on manual intervention and interpretation, to the automatic generation of results of known reliability.

Amino Acid Sequence↗

Population statistics of protein structures: lessons from structural classifications.

Structural classifications aid the interpretation of proteins by describing degrees of structural and evolutionary relatedness. They have also recently revealed strikingly skewed distributions at all levels; for example, a small number of folds are far more common than others, and just a few superfamilies are known to have diverged widely. The classifications also provide an indication of the total number of superfamilies in nature.

Binding Sites↗

Prediction of the structure of GroES and its interaction with GroEL.

The three-dimensional structure of the GroES monomer and its interaction with GroEL has been predicted using a combination of prediction tools and experimental data obtained by biophysical [electron microscope (EM), Fourier transform infrared (FTIR), and nuclear magnetic resonance (NMR)] and biochemical techniques. The GroES monomer, according to the prediction, is composed of eight beta-strands forming a beta-barrel with loose ends. In the model, beta-strands 5-8 run along the outer surface of GroES, forming an antiparallel beta-sheet with beta 4 loosely bound to one of the edges. beta-strands 1-3 would then be parallel and placed in the interior of the molecule. Loops 1-3 would face the internal cavity of the GroEL-GroES complex, and together with conserved residues in loops 5 and 7, would form the active surface interacting with GroEL.

Amino Acid Sequence↗

Fold recognition and ab initio structure predictions using hidden Markov models and beta-strand pair potentials.

Protein structure predictions were submitted for 9 of the target sequences in the competition that ran during 1994. Targets sequences were selected that had no known homology with any sequence of known structure and were members of a reasonably sized family of related but divergent sequences. The objective was either to recognize a compatible fold for the target sequence in the database of known structures or to predict ab initio its rough 3D topology. The main tools used were Hidden Markov models (HMM) for fold recognition, a beta-strand pair potential to predict beta-sheet topology, and the PHD server for secondary structure prediction. Compatible folds were correctly identified in a number of cases and the beta-strand pair potential was shown to be a useful tool for ab initio topology prediction.

Algorithms↗