MONSTER: Inferring non-covalent interactions in macromolecular structures from atomic coordinate data

William J. Salerno, Samuel M. Seaver, Brian R. Armstrong, Ishwar Radhakrishnan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

A web application for inferring potentially stabilizing non-bonding interactions in macromolecular structures from input atomic coordinate data is described. The core software, called Monster, comprises a PERL wrapper that takes advantage of scripts developed in- house as well as established software in the public domain to validate atomic coordinate files, identify interacting residues and assign the nature of these interactions. The results are assembled and presented in an intuitive and interactive graphical format. Potential applications of Monster range from mining and validating experimentally determined structures to guiding functional analysis. Non-commercial users can perform Monster analysis free of charge at http://monster.northwestern.edu.

Original languageEnglish (US)
Pages (from-to)W566-W568
JournalNucleic acids research
Volume32
Issue numberWEB SERVER ISS.
DOIs
StatePublished - Jul 1 2004

ASJC Scopus subject areas

  • Genetics

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