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Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
ABSTRACT: The accumulation of massive data in the plethora of Cheminformatics databases has made the role of big data and artificial intelligence (AI) indispensable in drug design. This has necessitated the development of newer algorithms and architectures to mine these databases and fulfil the spec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219515/ https://www.ncbi.nlm.nih.gov/pubmed/34159484 http://dx.doi.org/10.1007/s11030-021-10256-w |
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author | Tripathi, Manish Kumar Nath, Abhigyan Singh, Tej P. Ethayathulla, A. S. Kaur, Punit |
author_facet | Tripathi, Manish Kumar Nath, Abhigyan Singh, Tej P. Ethayathulla, A. S. Kaur, Punit |
author_sort | Tripathi, Manish Kumar |
collection | PubMed |
description | ABSTRACT: The accumulation of massive data in the plethora of Cheminformatics databases has made the role of big data and artificial intelligence (AI) indispensable in drug design. This has necessitated the development of newer algorithms and architectures to mine these databases and fulfil the specific needs of various drug discovery processes such as virtual drug screening, de novo molecule design and discovery in this big data era. The development of deep learning neural networks and their variants with the corresponding increase in chemical data has resulted in a paradigm shift in information mining pertaining to the chemical space. The present review summarizes the role of big data and AI techniques currently being implemented to satisfy the ever-increasing research demands in drug discovery pipelines. GRAPHIC ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-8219515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82195152021-06-23 Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery Tripathi, Manish Kumar Nath, Abhigyan Singh, Tej P. Ethayathulla, A. S. Kaur, Punit Mol Divers Original Article ABSTRACT: The accumulation of massive data in the plethora of Cheminformatics databases has made the role of big data and artificial intelligence (AI) indispensable in drug design. This has necessitated the development of newer algorithms and architectures to mine these databases and fulfil the specific needs of various drug discovery processes such as virtual drug screening, de novo molecule design and discovery in this big data era. The development of deep learning neural networks and their variants with the corresponding increase in chemical data has resulted in a paradigm shift in information mining pertaining to the chemical space. The present review summarizes the role of big data and AI techniques currently being implemented to satisfy the ever-increasing research demands in drug discovery pipelines. GRAPHIC ABSTRACT: [Image: see text] Springer International Publishing 2021-06-23 2021 /pmc/articles/PMC8219515/ /pubmed/34159484 http://dx.doi.org/10.1007/s11030-021-10256-w Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Tripathi, Manish Kumar Nath, Abhigyan Singh, Tej P. Ethayathulla, A. S. Kaur, Punit Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery |
title | Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery |
title_full | Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery |
title_fullStr | Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery |
title_full_unstemmed | Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery |
title_short | Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery |
title_sort | evolving scenario of big data and artificial intelligence (ai) in drug discovery |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219515/ https://www.ncbi.nlm.nih.gov/pubmed/34159484 http://dx.doi.org/10.1007/s11030-021-10256-w |
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