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INTERCAAT: identifying interface residues between macromolecules.
Grudman, Steven; Fajardo, J Eduardo; Fiser, Andras.
Affiliation
  • Grudman S; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
  • Fajardo JE; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
  • Fiser A; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Bioinformatics ; 38(2): 554-555, 2022 01 03.
Article in En | MEDLINE | ID: mdl-34499117
SUMMARY: The Interface Contact definition with Adaptable Atom Types (INTERCAAT) was developed to determine the atomic interactions between molecules that form a known three dimensional structure. First, INTERCAAT creates a Voronoi tessellation where each atom acts as a seed. Interactions are defined by atoms that share a hyperplane and whose distance is less than the sum of each atoms' Van der Waals radii plus the diameter of a solvent molecule. Interacting atoms are then classified and interactions are filtered based on compatibility. INTERCAAT implements an adaptive atom classification method; therefore, it can explore interfaces between a variety macromolecules. AVAILABILITY AND IMPLEMENTATION: Source code is freely available at: https://gitlab.com/fiserlab.org/intercaat. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom