Literature DB >> 11239080

WAM: an improved algorithm for modelling antibodies on the WEB.

N R Whitelegg1, A R Rees.   

Abstract

An improved antibody modelling algorithm has been developed which incorporates significant improvements to the earlier versions developed by Martin et al. (1989, 1991), Pedersen et al. (1992) and Rees et al. (1996) and known as AbM (Oxford Molecular). The new algorithm, WAM (for Web Antibody Modelling), has been launched as an online modelling service and is located at URL http://antibody.bath.ac.uk. Here we provide a summary only of the important features of WAM. Readers interested in further details are directed to the website, which gives extensive background information on the methods employed. A brief description of the rationale behind some of the newer methodology (specifically, the knowledge-based screens) is also given.

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Year:  2000        PMID: 11239080     DOI: 10.1093/protein/13.12.819

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  59 in total

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2.  Biochemical filtering of a protein-protein docking simulation identifies the structure of a complex between a recombinant antibody fragment and alpha-bungarotoxin.

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3.  Inhibition of cocaine binding to the human dopamine transporter by a single chain anti-idiotypic antibody: its cloning, expression, and functional properties.

Authors:  Mitchell Ho; Mariangela Segre
Journal:  Biochim Biophys Acta       Date:  2003-07-30

4.  Computational tool for the early screening of monoclonal antibodies for their viscosities.

Authors:  Neeraj J Agrawal; Bernhard Helk; Sandeep Kumar; Neil Mody; Hasige A Sathish; Hardeep S Samra; Patrick M Buck; Li Li; Bernhardt L Trout
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5.  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

6.  Problems in using statistical analysis of replacement and silent mutations in antibody genes for determining antigen-driven affinity selection.

Authors:  Biplab Bose; Subrata Sinha
Journal:  Immunology       Date:  2005-10       Impact factor: 7.397

7.  Probing a protein-protein interaction by in vitro evolution.

Authors:  George Thom; Alexis C Cockroft; Andrew G Buchanan; Cathy Joberty Candotti; E Suzanne Cohen; David Lowne; Phill Monk; Celia P Shorrock-Hart; Lutz Jermutus; Ralph R Minter
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-09       Impact factor: 11.205

8.  Restricted V gene usage and VH/VL pairing of mouse humoral response against the N-terminal immunodominant epitope of the amyloid β peptide.

Authors:  Remy Robert; Marie-Paule Lefranc; Anahit Ghochikyan; Michael G Agadjanyan; David H Cribbs; William E Van Nostrand; Kim L Wark; Olan Dolezal
Journal:  Mol Immunol       Date:  2010 Nov-Dec       Impact factor: 4.407

9.  A general strategy for generating intact, full-length IgG antibodies that penetrate into the cytosol of living cells.

Authors:  Dong-Ki Choi; Jeomil Bae; Seung-Min Shin; Ju-Yeon Shin; Sunghoon Kim; Yong-Sung Kim
Journal:  MAbs       Date:  2014       Impact factor: 5.857

10.  Modeling of human anti-GBM antibody-alpha3(IV)NC1 interactions predicts antigenic cross-linking through contact of both heavy chains with repeating epitopes on alpha3(IV)NC1.

Authors:  Kevin E C Meyers; Mette Christensen; Michael P Madaio
Journal:  Am J Nephrol       Date:  2009-09-28       Impact factor: 3.754

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