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IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions

Structure‐based ligand design requires an exact description of the topology of molecular entities under scrutiny. IChem is a software package that reflects the many contributions of our research group in this area over the last decade. It facilitates and automates many tasks (e.g., ligand/cofactor a...

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Detalles Bibliográficos
Autores principales: Da Silva, Franck, Desaphy, Jeremy, Rognan, Didier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5901026/
https://www.ncbi.nlm.nih.gov/pubmed/29024463
http://dx.doi.org/10.1002/cmdc.201700505
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author Da Silva, Franck
Desaphy, Jeremy
Rognan, Didier
author_facet Da Silva, Franck
Desaphy, Jeremy
Rognan, Didier
author_sort Da Silva, Franck
collection PubMed
description Structure‐based ligand design requires an exact description of the topology of molecular entities under scrutiny. IChem is a software package that reflects the many contributions of our research group in this area over the last decade. It facilitates and automates many tasks (e.g., ligand/cofactor atom typing, identification of key water molecules) usually left to the modeler's choice. It therefore permits the detection of molecular interactions between two molecules in a very precise and flexible manner. Moreover, IChem enables the conversion of intricate three‐dimensional (3D) molecular objects into simple representations (fingerprints, graphs) that facilitate knowledge acquisition at very high throughput. The toolkit is an ideal companion for setting up and performing many structure‐based design computations.
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spelling pubmed-59010262018-04-24 IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions Da Silva, Franck Desaphy, Jeremy Rognan, Didier ChemMedChem Communications Structure‐based ligand design requires an exact description of the topology of molecular entities under scrutiny. IChem is a software package that reflects the many contributions of our research group in this area over the last decade. It facilitates and automates many tasks (e.g., ligand/cofactor atom typing, identification of key water molecules) usually left to the modeler's choice. It therefore permits the detection of molecular interactions between two molecules in a very precise and flexible manner. Moreover, IChem enables the conversion of intricate three‐dimensional (3D) molecular objects into simple representations (fingerprints, graphs) that facilitate knowledge acquisition at very high throughput. The toolkit is an ideal companion for setting up and performing many structure‐based design computations. John Wiley and Sons Inc. 2017-11-07 2018-03-20 /pmc/articles/PMC5901026/ /pubmed/29024463 http://dx.doi.org/10.1002/cmdc.201700505 Text en © 2018 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Communications
Da Silva, Franck
Desaphy, Jeremy
Rognan, Didier
IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions
title IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions
title_full IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions
title_fullStr IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions
title_full_unstemmed IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions
title_short IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein–Ligand Interactions
title_sort ichem: a versatile toolkit for detecting, comparing, and predicting protein–ligand interactions
topic Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5901026/
https://www.ncbi.nlm.nih.gov/pubmed/29024463
http://dx.doi.org/10.1002/cmdc.201700505
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