BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript

[Image: see text] BINding ANAlyzer (BINANA) is an algorithm for identifying and characterizing receptor/ligand interactions and other factors that contribute to binding. We recently updated BINANA to make the algorithm more accessible to a broader audience. We have also ported the Python3 codebase t...

Descripción completa

Detalles Bibliográficos
Autores principales: Young, Jade, Garikipati, Neerja, Durrant, Jacob D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889568/
https://www.ncbi.nlm.nih.gov/pubmed/35129332
http://dx.doi.org/10.1021/acs.jcim.1c01461
_version_ 1784661430994206720
author Young, Jade
Garikipati, Neerja
Durrant, Jacob D.
author_facet Young, Jade
Garikipati, Neerja
Durrant, Jacob D.
author_sort Young, Jade
collection PubMed
description [Image: see text] BINding ANAlyzer (BINANA) is an algorithm for identifying and characterizing receptor/ligand interactions and other factors that contribute to binding. We recently updated BINANA to make the algorithm more accessible to a broader audience. We have also ported the Python3 codebase to JavaScript, thus enabling BINANA analysis in the web browser. As proof of principle, we created a web-browser application so students and chemical-biology researchers can quickly visualize receptor/ligand complexes and their unique binding interactions.
format Online
Article
Text
id pubmed-8889568
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-88895682022-03-02 BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript Young, Jade Garikipati, Neerja Durrant, Jacob D. J Chem Inf Model [Image: see text] BINding ANAlyzer (BINANA) is an algorithm for identifying and characterizing receptor/ligand interactions and other factors that contribute to binding. We recently updated BINANA to make the algorithm more accessible to a broader audience. We have also ported the Python3 codebase to JavaScript, thus enabling BINANA analysis in the web browser. As proof of principle, we created a web-browser application so students and chemical-biology researchers can quickly visualize receptor/ligand complexes and their unique binding interactions. American Chemical Society 2022-02-07 2022-02-28 /pmc/articles/PMC8889568/ /pubmed/35129332 http://dx.doi.org/10.1021/acs.jcim.1c01461 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Young, Jade
Garikipati, Neerja
Durrant, Jacob D.
BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript
title BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript
title_full BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript
title_fullStr BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript
title_full_unstemmed BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript
title_short BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript
title_sort binana 2: characterizing receptor/ligand interactions in python and javascript
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889568/
https://www.ncbi.nlm.nih.gov/pubmed/35129332
http://dx.doi.org/10.1021/acs.jcim.1c01461
work_keys_str_mv AT youngjade binana2characterizingreceptorligandinteractionsinpythonandjavascript
AT garikipatineerja binana2characterizingreceptorligandinteractionsinpythonandjavascript
AT durrantjacobd binana2characterizingreceptorligandinteractionsinpythonandjavascript

Ejemplares similares