DisVis: quantifying and visualizing accessible interaction space of distance-restrained biomolecular complexes | Zendy

Gydo C. P. van Zundert | Zendy; Alexandre M. J. J. Bonvin | Zendy

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DisVis: quantifying and visualizing accessible interaction space of distance-restrained biomolecular complexes

Author(s) -

Gydo C. P. van Zundert,

Alexandre M. J. J. Bonvin

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv333

Subject(s) - python (programming language) , computer science , visualization , source code , documentation , software , docking (animal) , binary number , computational science , data mining , theoretical computer science , programming language , mathematics , arithmetic , medicine , nursing

We present DisVis, a Python package and command line tool to calculate the reduced accessible interaction space of distance-restrained binary protein complexes, allowing for direct visualization and quantification of the information content of the distance restraints. The approach is general and can also be used as a knowledge-based distance energy term in FFT-based docking directly during the sampling stage.

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