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

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 determin...

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Bibliographic Details
Main Authors: Bortot, L.O (Author), Guerra, J.V.S (Author), Jara, G.E (Author), Lopes-de-Oliveira, P.S (Author), Pereira, J.G.C (Author), Ribeiro-Filho, H.V (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Application programs
Automated pipeline
Automated pipelines
Automation
Bioinformatics
Biological process
Bio-molecular
Biomolecular interactions
Biomolecular structures
Cavities detection
Cavity characterization
Cavity detection
COVID-19
data analysis
Data Analysis
Data science
Data Science
Data structure
Data structures
Data visualization
ecosystem
Ecosystem
Ecosystems
human
Humans
Molecular dynamics
Numpy
NumPy
Pipelines
Python
SARS-CoV-2
Structural biology
Structural determination
Three dimensional computer graphics
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