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Recent PELE Developments and Applications in Drug Discovery Campaigns
Computer simulation techniques are gaining a central role in molecular pharmacology. Due to several factors, including the significant improvements of traditional molecular modelling, the irruption of machine learning methods, the massive data generation, or the unlimited computational resources thr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788188/ https://www.ncbi.nlm.nih.gov/pubmed/36555731 http://dx.doi.org/10.3390/ijms232416090 |
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author | Puch-Giner, Ignasi Molina, Alexis Municoy, Martí Pérez, Carles Guallar, Victor |
author_facet | Puch-Giner, Ignasi Molina, Alexis Municoy, Martí Pérez, Carles Guallar, Victor |
author_sort | Puch-Giner, Ignasi |
collection | PubMed |
description | Computer simulation techniques are gaining a central role in molecular pharmacology. Due to several factors, including the significant improvements of traditional molecular modelling, the irruption of machine learning methods, the massive data generation, or the unlimited computational resources through cloud computing, the future of pharmacology seems to go hand in hand with in silico predictions. In this review, we summarize our recent efforts in such a direction, centered on the unconventional Monte Carlo PELE software and on its coupling with machine learning techniques. We also provide new data on combining two recent new techniques, aquaPELE capable of exhaustive water sampling and fragPELE, for fragment growing. |
format | Online Article Text |
id | pubmed-9788188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97881882022-12-24 Recent PELE Developments and Applications in Drug Discovery Campaigns Puch-Giner, Ignasi Molina, Alexis Municoy, Martí Pérez, Carles Guallar, Victor Int J Mol Sci Review Computer simulation techniques are gaining a central role in molecular pharmacology. Due to several factors, including the significant improvements of traditional molecular modelling, the irruption of machine learning methods, the massive data generation, or the unlimited computational resources through cloud computing, the future of pharmacology seems to go hand in hand with in silico predictions. In this review, we summarize our recent efforts in such a direction, centered on the unconventional Monte Carlo PELE software and on its coupling with machine learning techniques. We also provide new data on combining two recent new techniques, aquaPELE capable of exhaustive water sampling and fragPELE, for fragment growing. MDPI 2022-12-17 /pmc/articles/PMC9788188/ /pubmed/36555731 http://dx.doi.org/10.3390/ijms232416090 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Puch-Giner, Ignasi Molina, Alexis Municoy, Martí Pérez, Carles Guallar, Victor Recent PELE Developments and Applications in Drug Discovery Campaigns |
title | Recent PELE Developments and Applications in Drug Discovery Campaigns |
title_full | Recent PELE Developments and Applications in Drug Discovery Campaigns |
title_fullStr | Recent PELE Developments and Applications in Drug Discovery Campaigns |
title_full_unstemmed | Recent PELE Developments and Applications in Drug Discovery Campaigns |
title_short | Recent PELE Developments and Applications in Drug Discovery Campaigns |
title_sort | recent pele developments and applications in drug discovery campaigns |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788188/ https://www.ncbi.nlm.nih.gov/pubmed/36555731 http://dx.doi.org/10.3390/ijms232416090 |
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