Literature DB >> 11836226

SACS--self-maintaining database of antibody crystal structure information.

Lee C Allcorn1, Andrew C R Martin.   

Abstract

MOTIVATION: The rapid increase in the number of structures in the Protein Databank (PDB) makes it difficult to find all structures in a given protein class. Automatically-maintained web-based summaries are one solution to this problem.
RESULTS: Summary of Antibody Crystal Structures (SACS), a self-maintaining web-site containing summary information on antibody structures in the PDB, is described. Mirrored PDB data are processed automatically using a Make-based system to identify new antibody structures. The PDB header records and sequence data are then parsed to identify a number of features of the structure and the data are stored using eXtensible Markup Language (XML). eXtensible Stylesheet Language: Transformations (XSLT), a new style sheet language for XML, is used to generate Hypertext Markup Language (HTML) pages containing either a one-line summary of every structure or a more detailed page describing a single antibody.

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Year:  2002        PMID: 11836226     DOI: 10.1093/bioinformatics/18.1.175

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  25 in total

1.  Crystal structure of human antibody 2909 reveals conserved features of quaternary structure-specific antibodies that potently neutralize HIV-1.

Authors:  Anita Changela; Xueling Wu; Yongping Yang; Baoshan Zhang; Jiang Zhu; Glenn A Nardone; Sijy O'Dell; Marie Pancera; Miroslaw K Gorny; Sanjay Phogat; James E Robinson; Leonidas Stamatatos; Susan Zolla-Pazner; John R Mascola; Peter D Kwong
Journal:  J Virol       Date:  2010-12-29       Impact factor: 5.103

2.  A new clustering of antibody CDR loop conformations.

Authors:  Benjamin North; Andreas Lehmann; Roland L Dunbrack
Journal:  J Mol Biol       Date:  2010-10-28       Impact factor: 5.469

3.  Prediction of residues in discontinuous B-cell epitopes using protein 3D structures.

Authors:  Pernille Haste Andersen; Morten Nielsen; Ole Lund
Journal:  Protein Sci       Date:  2006-09-25       Impact factor: 6.725

4.  An enriched structural kinase database to enable kinome-wide structure-based analyses and drug discovery.

Authors:  Natasja Brooijmans; Yu-Wei Chang; Dominick Mobilio; Rajiah A Denny; Christine Humblet
Journal:  Protein Sci       Date:  2010-04       Impact factor: 6.725

5.  Insight into the modified Ibalizumab-human CD4 receptor interactions: using a computational binding free energy approach.

Authors:  Yeng-Tseng Wang; Lea-Yea Chuang
Journal:  J Comput Aided Mol Des       Date:  2014-10-24       Impact factor: 3.686

6.  KAT: a flexible XML-based knowledge authoring environment.

Authors:  Nathan C Hulse; Roberto A Rocha; Guilherme Del Fiol; Richard L Bradshaw; Timothy P Hanna; Lorrie K Roemer
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

7.  BEID: database for sequence-structure-function information on antigen-antibody interactions.

Authors:  Joo Chuan Tong; Chun Meng Song; Paul Thiam Joo Tan; Ee Chee Ren; Animesh A Sinha
Journal:  Bioinformation       Date:  2008-10-13

8.  Minute time scale prolyl isomerization governs antibody recognition of an intrinsically disordered immunodominant epitope.

Authors:  Marisol Fassolari; Lucia B Chemes; Mariana Gallo; Clara Smal; Ignacio E Sánchez; Gonzalo de Prat-Gay
Journal:  J Biol Chem       Date:  2013-03-15       Impact factor: 5.157

9.  Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.

Authors:  Thom Vreven; Iain H Moal; Anna Vangone; Brian G Pierce; Panagiotis L Kastritis; Mieczyslaw Torchala; Raphael Chaleil; Brian Jiménez-García; Paul A Bates; Juan Fernandez-Recio; Alexandre M J J Bonvin; Zhiping Weng
Journal:  J Mol Biol       Date:  2015-07-29       Impact factor: 5.469

10.  Prediction of antigenic epitopes on protein surfaces by consensus scoring.

Authors:  Shide Liang; Dandan Zheng; Chi Zhang; Martin Zacharias
Journal:  BMC Bioinformatics       Date:  2009-09-22       Impact factor: 3.169

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