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Improving Comparative Structure Modeling through the Use of Multiple Templates
Author(s) -
Peterson Mark Erik,
Babbitt Patricia C.,
Sali Andrej
Publication year - 2006
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.20.4.a491-c
Subject(s) - template , computer science , variety (cybernetics) , data mining , artificial intelligence , programming language
A variety of methods are employed to model protein structures using multiple templates because they potentially provide more information than does the use of a single template. However, there has been little consensus on how best to use this added information, and not even a consensus that using multiple templates is always helpful. In this work we examine alternatives for integrating information from multiple templates and perform a systematic study to determine how using multiple templates affects model quality. Our data indicate that current methods appropriately weight the better template approximately 65% of the time, and that significant improvements are possible by using statistical potentials derived from a database of known structures to weight the contribution of each template to the final model structure. Funding: Burroughs‐Wellcome Predoctoral Fellowship and P01 GM071790