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POVME 2.0: An Enhanced Tool for Determining Pocket Shape and Volume Characteristics

Open access
Durrant, Jacob D., Votapka, Lane, Sørensen, Jesper, Amaro, Rommie E.·2014·Journal of Chemical Theory and Computation

Abstract

Abstract Analysis of macromolecular/small-molecule binding pockets can provide important insights into molecular recognition and receptor dynamics. Since its release in 2011, the POVME (POcket Volume MEasurer) algorithm has been widely adopted as a simple-to-use tool for measuring and characterizing pocket volumes and shapes. We here present POVME 2.0, which is an order of magnitude faster, has improved accuracy, includes a graphical user interface, and can produce volumetric density maps for improved pocket analysis. To demonstrate the utility of the algorithm, we use it to analyze the binding pocket of RNA editing ligase 1 from the unicellular parasite Trypanosoma brucei, the etiological agent of African sleeping sickness. The POVME analysis characterizes the full dynamics of a potentially druggable transient binding pocket and so may guide future antitrypanosomal drug-discovery efforts. We are hopeful that this new version will be a useful tool for the computational- and medicinal-chemist community.

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Metadata

Authors
Durrant, J. D., Votapka, L., Sørensen, J., & Amaro, R. E.
Venue
Journal of Chemical Theory and Computation
Published
2014-10-15
Volume
10
Issue
11
Pages
5047-5056
ISSN
  • 1549-9618 (ISSN-L)
  • 1549-9626
OpenAlex
W2317863386
Cited by
234
References
4
FWCI
16.41
Type
journal article
Language
en
Open access
hybrid

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