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ID: 457114.0, MPI für molekulare Genetik / Independent Junior Research Groups (Otto-Warburg-Laboratory)
Designing evolvable libraries using multi-body potentials
Authors:Lappe, Michael; Bagler, Ganesh; Filippis, Ioannis; Stehr, Henning; Duarte, Jose M.; Sathyapriya, Rajagopal
Language:English
Date of Publication (YYYY-MM-DD):2009-08
Title of Journal:Current Opinion in Biotechnology
Journal Abbrev.:Curr Opin Biotechnol
Volume:24
Issue / Number:4
Start Page:437
End Page:446
Copyright:© 2009 Elsevier B.V.
Review Status:not specified
Audience:Experts Only
Abstract / Description:Novel high-throughput technologies for directed evolution enable experimental coverage of an impressive number of sequences. Nevertheless, the success of such experiments hinges on the initial sequence libraries. Here we consider the computational design of smart focused libraries and review insights from experimental strategies and theoretic advances in modelling their energy landscapes. In library design as in structure prediction, the applied energy function is the key. Current knowledge-based potentials have proven more successful than purely physics-based ones. Here we summarize novel approaches that extend the classical pairwise treatment of residue contacts towards adaptive knowledge-based multi-body potentials. We suggest that minimal sets of probabilistic constraints will lead to much more efficient sampling of permissible conformations and sequence space.
Comment of the Author/Creator:email: lappe@molgen.mpg.de
External Publication Status:published
Document Type:Article
Communicated by:OWL-Group
Affiliations:MPI für molekulare Genetik
Identifiers:DOI:10.1016/j.copbio.2009.07.008
ISSN:0958-1669
URL:http://www.sciencedirect.com/science?_ob=MImg&_ima...
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