Literature DB >> 10526348

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

T J Hubbard1.   

Abstract

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/.

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Year:  1999        PMID: 10526348     DOI: 10.1002/(sici)1097-0134(1999)37:3+<15::aid-prot4>3.3.co;2-q

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  11 in total

1.  Improving the quality of twilight-zone alignments.

Authors:  L Jaroszewski; L Rychlewski; A Godzik
Journal:  Protein Sci       Date:  2000-08       Impact factor: 6.725

2.  Automatic classification of protein structure by using Gauss integrals.

Authors:  Peter Rogen; Boris Fain
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-27       Impact factor: 11.205

3.  Enlarged FAMSBASE: protein 3D structure models of genome sequences for 41 species.

Authors:  Akihiro Yamaguchi; Mitsuo Iwadate; Ei-ichiro Suzuki; Kei Yura; Shigetsugu Kawakita; Hideaki Umeyama; Mitiko Go
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

4.  Gaussian-weighted RMSD superposition of proteins: a structural comparison for flexible proteins and predicted protein structures.

Authors:  Kelly L Damm; Heather A Carlson
Journal:  Biophys J       Date:  2006-03-24       Impact factor: 4.033

Review 5.  The evaluation of protein structure prediction results.

Authors:  Domenico Cozzetto; Alejandro Giorgetti; Domenico Raimondo; Anna Tramontano
Journal:  Mol Biotechnol       Date:  2007-12-11       Impact factor: 2.695

6.  Accelerating physical simulations of proteins by leveraging external knowledge.

Authors:  Alberto Perez; Joseph A Morrone; Ken A Dill
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2017-04-19

7.  Assessing local structural perturbations in proteins.

Authors:  Martin A Lema; Julian Echave
Journal:  BMC Bioinformatics       Date:  2005-09-13       Impact factor: 3.169

8.  TM-align: a protein structure alignment algorithm based on the TM-score.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Nucleic Acids Res       Date:  2005-04-22       Impact factor: 16.971

9.  A study of quality measures for protein threading models.

Authors:  S Cristobal; A Zemla; D Fischer; L Rychlewski; A Elofsson
Journal:  BMC Bioinformatics       Date:  2001-08-01       Impact factor: 3.169

10.  lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests.

Authors:  Valerio Mariani; Marco Biasini; Alessandro Barbato; Torsten Schwede
Journal:  Bioinformatics       Date:  2013-08-27       Impact factor: 6.937

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