Stock-based detection of protein oligomeric states in jsPISA | Zendy

Eugene Krissinel | Zendy

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Stock-based detection of protein oligomeric states in jsPISA

Author(s) -

Eugene Krissinel

Publication year - 2015

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gkv314

Subject(s) - biology , login , software , javascript , web server , user interface , computational biology , bioinformatics , computer science , world wide web , operating system , the internet

A new version of the popular software PISA for the analysis of macromolecular interfaces and identification of biological assemblies (complexes) from macromolecular crystal structures is presented. The new web server jsPISA has a substantially improved user interface, based on modern JavaScript technologies, and also new elements of analysis: assembly stock and interaction radar. The new elements help interpretation of PISA results in difficult and ambiguous cases, for example, when the oligomeric state depends on protein concentration, or when the biologically relevant interaction is weak and cannot be easily discriminated from superficial crystal contacts. jsPISA is maintained by CCP4 at http://www.ccp4.ac.uk/pisa. There are no login requirements for using the server.

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