Literature DB >> 17709340

Con-Struct Map: a comparative contact map analysis tool.

Jo-Lan Chung1, John E Beaver, Eric D Scheeff, Philip E Bourne.   

Abstract

UNLABELLED: Con-Struct Map is a graphical tool for the comparative study of protein structures. The tool detects potential conserved residue contacts shared by multiple protein structures by superimposing their contact maps according to a multiple structure alignment. In general, Con-Struct Map allows the study of structural changes resulting from, e.g. sequence substitutions, or alternatively, the study of conserved components of a structure framework across structurally aligned proteins. Specific applications include the study of sequence-structure relationship in distantly related proteins and the comparisons of wild type and mutant proteins. AVAILABILITY: http://pdbrs3.sdsc.edu/ConStructMap/viewer_argument_generator/singleArguments. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Mesh:

Substances:

Year:  2007        PMID: 17709340     DOI: 10.1093/bioinformatics/btm356

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


  4 in total

1.  NAPS: Network Analysis of Protein Structures.

Authors:  Broto Chakrabarty; Nita Parekh
Journal:  Nucleic Acids Res       Date:  2016-05-05       Impact factor: 16.971

2.  CMWeb: an interactive on-line tool for analysing residue-residue contacts and contact prediction methods.

Authors:  Dániel Kozma; István Simon; Gábor E Tusnády
Journal:  Nucleic Acids Res       Date:  2012-06-04       Impact factor: 16.971

3.  MAPIYA contact map server for identification and visualization of molecular interactions in proteins and biological complexes.

Authors:  Aleksandra E Badaczewska-Dawid; Chandran Nithin; Karol Wroblewski; Mateusz Kurcinski; Sebastian Kmiecik
Journal:  Nucleic Acids Res       Date:  2022-05-07       Impact factor: 19.160

4.  ProCKSI: a decision support system for Protein (structure) Comparison, Knowledge, Similarity and Information.

Authors:  Daniel Barthel; Jonathan D Hirst; Jacek Błazewicz; Edmund K Burke; Natalio Krasnogor
Journal:  BMC Bioinformatics       Date:  2007-10-26       Impact factor: 3.169

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.