Literature DB >> 15048836

Microbial genomes have over 72% structure assignment by the threading algorithm PROSPECTOR_Q.

Daisuke Kihara1, Jeffrey Skolnick.   

Abstract

The genome scale threading of five complete microbial genomes is revisited using our state-of-the-art threading algorithm, PROSPECTOR_Q. Considering that structure assignment to an ORF could be useful for predicting biochemical function as well as for analyzing pathways, it is important to assess the current status of genome scale threading. The fraction of ORFs to which we could assign protein structures with a reasonably good confidence level to each genome sequences is over 72%, which is significantly higher than earlier studies. Using the assigned structures, we have predicted the function of several ORFs through "single-function" template structures, obtained from an analysis of the relationship between protein fold and function. The fold distribution of the genomes and the effect of the number of homologous sequences on structure assignment are also discussed. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15048836     DOI: 10.1002/prot.20044

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  15 in total

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2.  Sub-AQUA: real-value quality assessment of protein structure models.

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Journal:  Protein Eng Des Sel       Date:  2010-06-04       Impact factor: 1.650

Review 3.  FINDSITE: a combined evolution/structure-based approach to protein function prediction.

Authors:  Jeffrey Skolnick; Michal Brylinski
Journal:  Brief Bioinform       Date:  2009-03-26       Impact factor: 11.622

4.  Computational Methods for Predicting Protein-Protein Interactions Using Various Protein Features.

Authors:  Ziyun Ding; Daisuke Kihara
Journal:  Curr Protoc Protein Sci       Date:  2018-06-21

5.  Performance and enhancement of the LZerD protein assembly pipeline in CAPRI 38-46.

Authors:  Charles Christoffer; Genki Terashi; Woong-Hee Shin; Tunde Aderinwale; Sai Raghavendra Maddhuri Venkata Subramaniya; Lenna Peterson; Jacob Verburgt; Daisuke Kihara
Journal:  Proteins       Date:  2019-11-25

6.  Improved performance in CAPRI round 37 using LZerD docking and template-based modeling with combined scoring functions.

Authors:  Lenna X Peterson; Woong-Hee Shin; Hyungrae Kim; Daisuke Kihara
Journal:  Proteins       Date:  2017-09-11

7.  Assessment of protein side-chain conformation prediction methods in different residue environments.

Authors:  Lenna X Peterson; Xuejiao Kang; Daisuke Kihara
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8.  PatchSurfers: Two methods for local molecular property-based binding ligand prediction.

Authors:  Woong-Hee Shin; Mark Gregory Bures; Daisuke Kihara
Journal:  Methods       Date:  2015-09-30       Impact factor: 3.608

9.  Structural features that predict real-value fluctuations of globular proteins.

Authors:  Michal Jamroz; Andrzej Kolinski; Daisuke Kihara
Journal:  Proteins       Date:  2012-02-13

10.  Human and server docking prediction for CAPRI round 30-35 using LZerD with combined scoring functions.

Authors:  Lenna X Peterson; Hyungrae Kim; Juan Esquivel-Rodriguez; Amitava Roy; Xusi Han; Woong-Hee Shin; Jian Zhang; Genki Terashi; Matt Lee; Daisuke Kihara
Journal:  Proteins       Date:  2016-10-14
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