Protein loop modeling by using fragment assembly and analytical loop closure

Protein loops are often involved in important biological functions such as molecular recognition, signal transduction, or enzymatic action. The three dimensional structures of loops can provide essential information for understanding molecular mechanisms behind protein functions. In this article, we...

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Published inProteins, structure, function, and bioinformatics Vol. 78; no. 16; pp. 3428 - 3436
Main Authors Lee, Julian, Lee, Dongseon, Park, Hahnbeom, Coutsias, Evangelos A., Seok, Chaok
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.12.2010
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Summary:Protein loops are often involved in important biological functions such as molecular recognition, signal transduction, or enzymatic action. The three dimensional structures of loops can provide essential information for understanding molecular mechanisms behind protein functions. In this article, we develop a novel method for protein loop modeling, where the loop conformations are generated by fragment assembly and analytical loop closure. The fragment assembly method reduces the conformational space drastically, and the analytical loop closure method finds the geometrically consistent loop conformations efficiently. We also derive an analytic formula for the gradient of any analytical function of dihedral angles in the space of closed loops. The gradient can be used to optimize various restraints derived from experiments or databases, for example restraints for preferential interactions between specific residues or for preferred backbone angles. We demonstrate that the current loop modeling method outperforms previous methods that employ residue‐based torsion angle maps or different loop closure strategies when tested on two sets of loop targets of lengths ranging from 4 to 12. Proteins 2010. © 2010 Wiley‐Liss, Inc.
Bibliography:MEST - Mid-career Researcher Program No. 2010-0000220
ArticleID:PROT22849
NIH-NIGMS - No. R01-GM081710; No. R01-GM090205
istex:5F2BEBBC183B4E4583FC4B9CC946F4FA1FFC43C6
ark:/67375/WNG-QGQNTP72-2
Julian Lee and Dongseon Lee contributed equally to this work.
ObjectType-Article-1
SourceType-Scholarly Journals-1
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These authors contributed equally to this work.
ISSN:0887-3585
1097-0134
DOI:10.1002/prot.22849