@TOME-2: a new pipeline for comparative modeling of protein–ligand complexes

@TOME 2.0 is new web pipeline dedicated to protein structure modeling and small ligand docking based on comparative analyses. @TOME 2.0 allows fold recognition, template selection, structural alignment editing, structure comparisons, 3D-model building and evaluation. These tasks are routinely used in sequence analyses for structure prediction. In our pipeline the necessary software is efficiently interconnected in an original manner to accelerate all the processes. Furthermore, we have also connected comparative docking of small ligands that is performed using protein–protein superposition. The input is a simple protein sequence in one-letter code with no comment. The resulting 3D model, protein–ligand complexes and structural alignments can be visualized through dedicated Web interfaces or can be downloaded for further studies. These original features will aid in the functional annotation of proteins and the selection of templates for molecular modeling and virtual screening. Several examples are described to highlight some of the new functionalities provided by this pipeline. The server and its documentation are freely available at http://abcis.cbs.cnrs.fr/AT2/

[1]  N. Grishin,et al.  COMPASS: a tool for comparison of multiple protein alignments with assessment of statistical significance. , 2003, Journal of molecular biology.

[2]  Gilles Labesse,et al.  ViTO: tool for refinement of protein sequence-structure alignments , 2004, Bioinform..

[3]  Dominique Douguet,et al.  Easier threading through web-based comparisons and cross-validations , 2001, Bioinform..

[4]  Adrian A Canutescu,et al.  Access the most recent version at doi: 10.1110/ps.03154503 References , 2003 .

[5]  Andrej ⩽ali,et al.  Comparative protein modeling by satisfaction of spatial restraints , 1995 .

[6]  Laetitia Martin-Chanas,et al.  kinDOCK: a tool for comparative docking of protein kinase ligands , 2006, Nucleic Acids Res..

[7]  Joël Pothier,et al.  P-SEA: a new efficient assignment of secondary structure from C alpha trace of proteins , 1997, Comput. Appl. Biosci..

[8]  SödingJohannes Protein homology detection by HMM--HMM comparison , 2005 .

[9]  J. P. Mornon,et al.  Incremental threading optimization (TITO) to help alignment and modelling of remote homologues , 1998, Bioinform..

[10]  Lenore Cowen,et al.  Matt: Local Flexibility Aids Protein Multiple Structure Alignment , 2008, PLoS Comput. Biol..

[11]  J Skolnick,et al.  Defrosting the frozen approximation: PROSPECTOR— A new approach to threading , 2001, Proteins.

[12]  Nikolay V. Dokholyan,et al.  MedusaScore: An Accurate Force Field-Based Scoring Function for Virtual Drug Screening , 2008, J. Chem. Inf. Model..

[13]  Arne Elofsson,et al.  MaxSub: an automated measure for the assessment of protein structure prediction quality , 2000, Bioinform..

[14]  David S. Goodsell,et al.  Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function , 1998, J. Comput. Chem..

[15]  A. Sali,et al.  Protein Structure Prediction and Structural Genomics , 2001, Science.

[16]  T L Blundell,et al.  FUGUE: sequence-structure homology recognition using environment-specific substitution tables and structure-dependent gap penalties. , 2001, Journal of molecular biology.

[17]  Arne Elofsson,et al.  3D-Jury: A Simple Approach to Improve Protein Structure Predictions , 2003, Bioinform..

[18]  G. Labesse,et al.  A phospho‐sugar binding domain homologous to NagB enzymes regulates the activity of the central glycolytic genes repressor , 2008, Proteins.

[19]  T. Blundell,et al.  Comparative protein modelling by satisfaction of spatial restraints. , 1993, Journal of molecular biology.

[20]  S. Bryant,et al.  An empirical energy function for threading protein sequence through the folding motif , 1993, Proteins.

[21]  Frédéric Devaux,et al.  Ssu72 is a phosphatase essential for transcription termination of snoRNAs and specific mRNAs in yeast , 2003, The EMBO journal.

[22]  A Sali,et al.  Comparative protein modeling by satisfaction of spatial restraints. , 1996, Molecular medicine today.

[23]  Michael Hampsey,et al.  Ssu72 Is an RNA polymerase II CTD phosphatase. , 2004, Molecular cell.

[24]  Janet M. Thornton,et al.  PROCOGNATE: a cognate ligand domain mapping for enzymes , 2007, Nucleic Acids Res..

[25]  J. Thompson,et al.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.

[26]  Hongyi Zhou,et al.  Fold recognition by combining sequence profiles derived from evolution and from depth‐dependent structural alignment of fragments , 2004, Proteins.

[27]  G. Labesse,et al.  ROP2 from Toxoplasma gondii: a virulence factor with a protein-kinase fold and no enzymatic activity. , 2008, Structure.

[28]  Robert C. Edgar,et al.  MUSCLE: multiple sequence alignment with high accuracy and high throughput. , 2004, Nucleic acids research.

[29]  Geoffrey J. Barton,et al.  The Jalview Java alignment editor , 2004, Bioinform..

[30]  J. Skolnick,et al.  A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation , 2008, Proceedings of the National Academy of Sciences.

[31]  Johannes Söding,et al.  Protein homology detection by HMM?CHMM comparison , 2005, Bioinform..

[32]  D. Higgins,et al.  T-Coffee: A novel method for fast and accurate multiple sequence alignment. , 2000, Journal of molecular biology.

[33]  Jérôme Gracy,et al.  PAT: a protein analysis toolkit for integrated biocomputing on the web , 2005, Nucleic Acids Res..

[34]  Yaoqi Zhou,et al.  SPARKS 2 and SP3 servers in CASP6 , 2005, Proteins.

[35]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[36]  D. Eisenberg,et al.  VERIFY3D: assessment of protein models with three-dimensional profiles. , 1997, Methods in enzymology.