Literature DB >> 22064508

Online homology modelling as a means of bridging the sequence-structure gap.

David Sheehan1, Siobhán O'Sullivan.   

Abstract

For even the best-studied species, there is a large gap in their representation in the protein databank (PDB) compared to within sequence databases. Typically, less than 2% of sequences are represented in the PDB. This is partly due to the considerable experimental challenge and manual inputs required to solve three dimensional structures by methods such as X-ray diffraction and multi-dimensional nuclear magnetic resonance (NMR) spectroscopy in comparison to high-throughput sequencing. This gap is made even wider by the high level of redundancy within the PDB and under-representation of some protein categories such as membrane-associated proteins which comprise approximately 25% of proteins encoded in genomes. A traditional route to closing the sequence-structure gap is offered by homology modelling whereby the sequence of a target protein is modelled on a template represented in the PDB using in silico energy minimisation approaches. More recently, online homology servers have become available which automatically generate models from proffered sequences. However, many online servers give little indication of the structural plausibility of the generated model. In this paper, the online homology server Geno3D will be described. This server uses similar software to that used in modelling structures during structure determination and thus generates data allowing determination of the structural plausibility of models. For illustration, modelling of a chemotaxis protein (CheY) from Pseudomononas entomophila L48 (accession YP_609298) on a template (PDB id. 1mvo), the phosphorylation domain of an outer membrane protein PhoP from Bacillus subtilis, will be described.

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Year:  2011        PMID: 22064508     DOI: 10.4161/bbug.2.6.16116

Source DB:  PubMed          Journal:  Bioeng Bugs        ISSN: 1949-1018


  3 in total

1.  Homology models of mouse and rat estrogen receptor-α ligand-binding domain created by in silico mutagenesis of a human template: molecular docking with 17ß-estradiol, diethylstilbestrol, and paraben analogs.

Authors:  Thomas L Gonzalez; James M Rae; Justin A Colacino; Rudy J Richardson
Journal:  Comput Toxicol       Date:  2018-11-28

2.  Proteomic characterization and bio-informatic analysis of differentially expressed E. coli Nissle 1917 proteins with response to cocoti wine stress.

Authors:  Chandrasekhar Kathera; Esther Lebonah Dulla; Venkata Prasad Chinahadri; Thanu Sree Mallakuntla Ramesh; Sreedevi Basavaraju; Pramodakumari Jasti
Journal:  3 Biotech       Date:  2017-06-08       Impact factor: 2.406

3.  Complete genome sequence of the Clostridium difficile LCL126.

Authors:  Jianfeng Wang; Chu Yang; Chao Zhang; Xiaoyan Mao; An Lizhe
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  3 in total

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