03269nas a2200337   4500008004100000245010000041210006900141300001200210490000700222520201600229653008002245653005102325653005202376653014002428100001502568700001402583700001602597700002402613700001802637700001902655700001702674700001402691700002402705700001402729700001302743700001902756700001802775700001902793700001302812856010602825       2004                        eng d00aMODBASE, a database of annotated comparative protein structure models, and associated resources0 aMODBASE a database of annotated comparative protein structure mo  aD217-220 v323 aMODBASE (http://salilab.org/modbase) is a relational database of annotated comparative protein structure models for all available protein sequences matched to at least one known protein structure. The models are calculated by MODPIPE, an automated modeling pipeline that relies on the MODELLER package for fold assignment, sequence-structure alignment, model building and model assessment (http:/salilab.org/modeller). MODBASE uses the MySQL relational database management system for flexible querying and CHIMERA for viewing the sequences and structures (http://www.cgl.ucsf.edu/chimera/). MODBASE is updated regularly to reflect the growth in protein sequence and structure databases, as well as improvements in the software for calculating the models. For ease of access, MODBASE is organized into different data sets. The largest data set contains 1,26,629 models for domains in 659,495 out of 1,182,126 unique protein sequences in the complete Swiss-Prot/TrEMBL database (August 25, 2003); only models based on alignments with significant similarity scores and models assessed to have the correct fold despite insignificant alignments are included. Another model data set supports target selection and structure-based annotation by the New York Structural Genomics Research Consortium; e.g. the 53 new structures produced by the consortium allowed us to characterize structurally 24,113 sequences. MODBASE also contains binding site predictions for small ligands and a set of predicted interactions between pairs of modeled sequences from the same genome. Our other resources associated with MODBASE include a comprehensive database of multiple protein structure alignments (DBALI, http://salilab.org/dbali) as well as web servers for automated comparative modeling with MODPIPE (MODWEB, http://salilab. org/modweb), modeling of loops in protein structures (MODLOOP, http://salilab.org/modloop) and predicting functional consequences of single nucleotide polymorphisms (SNPWEB, http://salilab. org/snpweb).10aAmino Acid Sequence Animals Binding Sites *Computational Biology *Databases10aMolecular Molecular Sequence Data Polymorphism10aProtein Genomics Humans Internet Ligands Models10aSingle Nucleotide Protein Binding Protein Conformation Proteins/*chemistry/genetics Sequence Alignment Software User-Computer Interface1 aPieper, U.1 aEswar, N.1 aBraberg, H.1 aMadhusudhan, M., S.1 aDavis, F., P.1 aStuart, A., C.1 aMirkovic, N.1 aRossi, A.1 aMarti-Renom, M., A.1 aFiser, A.1 aWebb, B.1 aGreenblatt, D.1 aHuang, C., C.1 aFerrin, T., E.1 aSali, A.  uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=1468139801823nas a2200289   4500008004100000245006600041210006600107300001200173490000700185520083500192653004601027653002001073653011301093653003201206100001401238700001301252700001701265700001401282700001801296700001501314700001901329700002401348700002401372700001801396700001301414856010601427       2003                        eng d00aTools for comparative protein structure modeling and analysis0 aTools for comparative protein structure modeling and analysis  a3375-800 v313 aThe following resources for comparative protein structure modeling and analysis are described (http://salilab.org): MODELLER, a program for comparative modeling by satisfaction of spatial restraints; MODWEB, a web server for automated comparative modeling that relies on PSI-BLAST, IMPALA and MODELLER; MODLOOP, a web server for automated loop modeling that relies on MODELLER; MOULDER, a CPU intensive protocol of MODWEB for building comparative models based on distant known structures; MODBASE, a comprehensive database of annotated comparative models for all sequences detectably related to a known structure; MODVIEW, a Netscape plugin for Linux that integrates viewing of multiple sequences and structures; and SNPWEB, a web server for structure-based prediction of the functional impact of a single amino acid substitution.10aAmino Acid *Software *Structural Homology10aInternet Models10aMolecular Protein Folding Proteins/chemistry Reproducibility of Results Sequence Alignment Sequence Homology10aProtein Systems Integration1 aEswar, N.1 aJohn, B.1 aMirkovic, N.1 aFiser, A.1 aIlyin, V., A.1 aPieper, U.1 aStuart, A., C.1 aMarti-Renom, M., A.1 aMadhusudhan, M., S.1 aYerkovich, B.1 aSali, A.  uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=1282433101632nas a2200193   4500008004100000245007000041210006900111300001100180490000700191520092300198653004001121653008301161100002401244700002401268700001401292700001301306700001301319856010601332       2002                        eng d00aReliability of assessment of protein structure prediction methods0 aReliability of assessment of protein structure prediction method  a435-400 v103 a<p>The reliability of ranking of protein structure modeling methods is assessed. The assessment is based on the parametric Student’s t test and the nonparametric Wilcox signed rank test of statistical significance of the difference between paired samples. The approach is applied to the ranking of the comparative modeling methods tested at the fourth meeting on Critical Assessment of Techniques for Protein Structure Prediction (CASP). It is shown that the 14 CASP4 test sequences may not be sufficient to reliably distinguish between the top eight methods, given the model quality differences and their standard deviations. We suggest that CASP needs to be supplemented by an assessment of protein structure prediction methods that is automated, continuous in time, based on several criteria applied to a large number of models, and with quantitative statistical reliability assigned to each characterization.</p>10a*Computer Simulation Humans *Models10aMolecular *Protein Conformation Proteins/*chemistry Reproducibility of Results1 aMarti-Renom, M., A.1 aMadhusudhan, M., S.1 aFiser, A.1 aRost, B.1 aSali, A.  uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=1200544101566nas a2200229   4500008004100000245008100041210006900122300001100191490000700202520078900209653007500998100001901073700002401092700001901116700002401135700001401159700001401173700001701187700001301204700001301217856010601230       2001                        eng d00aEVA: continuous automatic evaluation of protein structure prediction servers0 aEVA continuous automatic evaluation of protein structure predict  a1242-30 v173 aEvaluation of protein structure prediction methods is difficult and time-consuming. Here, we describe EVA, a web server for assessing protein structure prediction methods, in an automated, continuous and large-scale fashion. Currently, EVA evaluates the performance of a variety of prediction methods available through the internet. Every week, the sequences of the latest experimentally determined protein structures are sent to prediction servers, results are collected, performance is evaluated, and a summary is published on the web. EVA has so far collected data for more than 3000 protein chains. These results may provide valuable insight to both developers and users of prediction methods. AVAILABILITY: http://cubic.bioc.columbia.edu/eva. CONTACT: eva@cubic.bioc.columbia.edu10aAutomation Internet *Protein Conformation Proteins/*analysis *Software1 aEyrich, V., A.1 aMarti-Renom, M., A.1 aPrzybylski, D.1 aMadhusudhan, M., S.1 aFiser, A.1 aPazos, F.1 aValencia, A.1 aSali, A.1 aRost, B.  uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11751240