Literature DB >> 21965821

HHfrag: HMM-based fragment detection using HHpred.

Ivan Kalev1, Michael Habeck.   

Abstract

MOTIVATION: Over the last decade, both static and dynamic fragment libraries for protein structure prediction have been introduced. The former are built from clusters in either sequence or structure space and aim to extract a universal structural alphabet. The latter are tailored for a particular query protein sequence and aim to provide local structural templates that need to be assembled in order to build the full-length structure.
RESULTS: Here, we introduce HHfrag, a dynamic HMM-based fragment search method built on the profile-profile comparison tool HHpred. We show that HHfrag provides advantages over existing fragment assignment methods in that it: (i) improves the precision of the fragments at the expense of a minor loss in sequence coverage; (ii) detects fragments of variable length (6-21 amino acid residues); (iii) allows for gapped fragments and (iv) does not assign fragments to regions where there is no clear sequence conservation. We illustrate the usefulness of fragments detected by HHfrag on targets from most recent CASP.

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Year:  2011        PMID: 21965821     DOI: 10.1093/bioinformatics/btr541

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

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Journal:  J Biomol NMR       Date:  2013-08-22       Impact factor: 2.835

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Authors:  Dong Xu; Yang Zhang
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3.  Redundancy-weighting for better inference of protein structural features.

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Authors:  Debswapna Bhattacharya; Badri Adhikari; Jilong Li; Jianlin Cheng
Journal:  Bioinformatics       Date:  2016-02-18       Impact factor: 6.937

5.  Structure-based functional annotation of hypothetical proteins from Candida dubliniensis: a quest for potential drug targets.

Authors:  Kundan Kumar; Amresh Prakash; Farah Anjum; Asimul Islam; Faizan Ahmad; Md Imtaiyaz Hassan
Journal:  3 Biotech       Date:  2014-10-17       Impact factor: 2.406

6.  Building a better fragment library for de novo protein structure prediction.

Authors:  Saulo H P de Oliveira; Jiye Shi; Charlotte M Deane
Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

7.  The MPI bioinformatics Toolkit as an integrative platform for advanced protein sequence and structure analysis.

Authors:  Vikram Alva; Seung-Zin Nam; Johannes Söding; Andrei N Lupas
Journal:  Nucleic Acids Res       Date:  2016-04-29       Impact factor: 16.971

8.  Critical Features of Fragment Libraries for Protein Structure Prediction.

Authors:  Raphael Trevizani; Fábio Lima Custódio; Karina Baptista Dos Santos; Laurent Emmanuel Dardenne
Journal:  PLoS One       Date:  2017-01-13       Impact factor: 3.240

9.  Confidence-guided local structure prediction with HHfrag.

Authors:  Ivan Kalev; Michael Habeck
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

10.  Detecting protein candidate fragments using a structural alphabet profile comparison approach.

Authors:  Yimin Shen; Géraldine Picord; Frédéric Guyon; Pierre Tuffery
Journal:  PLoS One       Date:  2013-11-26       Impact factor: 3.240

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