pyKVFinder: an efficient and integrable Python package for biomolecular cavity detection and characterization in data science

pyKVFinder: an efficient and integrable Python package for biomolecular cavity detection and characterization in data science

Abstract Background Biomolecular interactions that modulate biological processes occur mainly in cavities throughout the surface of biomolecular structures. In the data science era, structural biology has benefited from the increasing availability of biostructural data due to advances in structural...

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Bibliographic Details
Main Authors: João Victor da Silva Guerra, Helder Veras Ribeiro-Filho, Gabriel Ernesto Jara, Leandro Oliveira Bortot, José Geraldo de Carvalho Pereira, Paulo Sérgio Lopes-de-Oliveira
Format: Article
Language:English
Published: BMC 2021-12-01
Series:BMC Bioinformatics
Subjects:
Cavity detection
Cavity characterization
NumPy
Python
Data structure
Data science
Online Access:https://doi.org/10.1186/s12859-021-04519-4

Internet

https://doi.org/10.1186/s12859-021-04519-4

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