Protein structure determination using metagenome sequence data

Author:

Ovchinnikov Sergey123,Park Hahnbeom12,Varghese Neha4,Huang Po-Ssu12,Pavlopoulos Georgios A.4,Kim David E.15,Kamisetty Hetunandan6,Kyrpides Nikos C.47,Baker David125

Affiliation:

1. Department of Biochemistry, University of Washington, Seattle, WA 98105, USA.

2. Institute for Protein Design, University of Washington, Seattle, WA 98105, USA.

3. Molecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA.

4. Joint Genome Institute, Walnut Creek, CA 94598, USA.

5. Howard Hughes Medical Institute, University of Washington, Box 357370, Seattle, WA 98105, USA.

6. Facebook Inc., Seattle, WA 98109, USA.

7. Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.

Abstract

Filling in the protein fold picture Fewer than a third of the 14,849 known protein families have at least one member with an experimentally determined structure. This leaves more than 5000 protein families with no structural information. Protein modeling using residue-residue contacts inferred from evolutionary data has been successful in modeling unknown structures, but it requires large numbers of aligned sequences. Ovchinnikov et al. augmented such sequence alignments with metagenome sequence data (see the Perspective by Söding). They determined the number of sequences required to allow modeling, developed criteria for model quality, and, where possible, improved modeling by matching predicted contacts to known structures. Their method predicted quality structural models for 614 protein families, of which about 140 represent newly discovered protein folds. Science , this issue p. 294 ; see also p. 248

Funder

U.S. Department of Energy

National Institute of General Medical Sciences

NIH

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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