MONSTER: inferring non-covalent interactions in macromolecular structures from atomic coordinate data
Department of Biochemistry, Molecular Biology and Cell Biology, Northwestern University, Evanston, IL 60208-3500, USA
* To whom correspondence should be addressed. Tel: +1 847 467 1173; Fax: +1 847 467 6489; Email: i-radhakrishnan{at}northwestern.edu
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors
Received February 10, 2004; Revised and Accepted April 13, 2004
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.
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated.
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