Application of computational biology and artificial intelligence technologies in cancer precision drug discovery

Artificial intelligence (AI) proves to have enormous potential in many areas of healthcare including research and chemical discoveries. Using large amounts of aggregated data, the AI can discover and learn further transforming these data into "usable" knowledge. Being well aware of this, t...

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Main Authors: Nagarajan, Nagasundaram, Yapp, Edward K. Y., Le, Nguyen Quoc Khanh, Kamaraj, Balu, Abeer Mohammed Al-Subaie, Yeh, Hui-Yuan
Other Authors: School of Humanities
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/143985
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1439852020-10-06T04:18:20Z Application of computational biology and artificial intelligence technologies in cancer precision drug discovery Nagarajan, Nagasundaram Yapp, Edward K. Y. Le, Nguyen Quoc Khanh Kamaraj, Balu Abeer Mohammed Al-Subaie Yeh, Hui-Yuan School of Humanities Humanities::General Artificial Intelligence Cancer Artificial intelligence (AI) proves to have enormous potential in many areas of healthcare including research and chemical discoveries. Using large amounts of aggregated data, the AI can discover and learn further transforming these data into "usable" knowledge. Being well aware of this, the world's leading pharmaceutical companies have already begun to use artificial intelligence to improve their research regarding new drugs. The goal is to exploit modern computational biology and machine learning systems to predict the molecular behaviour and the likelihood of getting a useful drug, thus saving time and money on unnecessary tests. Clinical studies, electronic medical records, high-resolution medical images, and genomic profiles can be used as resources to aid drug development. Pharmaceutical and medical researchers have extensive data sets that can be analyzed by strong AI systems. This review focused on how computational biology and artificial intelligence technologies can be implemented by integrating the knowledge of cancer drugs, drug resistance, next-generation sequencing, genetic variants, and structural biology in the cancer precision drug discovery. Published version 2020-10-06T04:18:20Z 2020-10-06T04:18:20Z 2019 Journal Article Nagarajan, N., Yapp, E. K. Y., Le, N. Q. K., Kamaraj, B., Abeer Mohammed Al-Subaie, & Yeh, H.-Y. (2019). Application of computational biology and artificial intelligence technologies in cancer precision drug discovery. BioMed Research International, 2019, 1-15. doi:10.1155/2019/8427042 2314-6133 https://hdl.handle.net/10356/143985 10.1155/2019/8427042 31886259 2019 1 15 en BioMed Research International © 2019 Nagasundaram Nagarajan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Humanities::General
Artificial Intelligence
Cancer
spellingShingle Humanities::General
Artificial Intelligence
Cancer
Nagarajan, Nagasundaram
Yapp, Edward K. Y.
Le, Nguyen Quoc Khanh
Kamaraj, Balu
Abeer Mohammed Al-Subaie
Yeh, Hui-Yuan
Application of computational biology and artificial intelligence technologies in cancer precision drug discovery
description Artificial intelligence (AI) proves to have enormous potential in many areas of healthcare including research and chemical discoveries. Using large amounts of aggregated data, the AI can discover and learn further transforming these data into "usable" knowledge. Being well aware of this, the world's leading pharmaceutical companies have already begun to use artificial intelligence to improve their research regarding new drugs. The goal is to exploit modern computational biology and machine learning systems to predict the molecular behaviour and the likelihood of getting a useful drug, thus saving time and money on unnecessary tests. Clinical studies, electronic medical records, high-resolution medical images, and genomic profiles can be used as resources to aid drug development. Pharmaceutical and medical researchers have extensive data sets that can be analyzed by strong AI systems. This review focused on how computational biology and artificial intelligence technologies can be implemented by integrating the knowledge of cancer drugs, drug resistance, next-generation sequencing, genetic variants, and structural biology in the cancer precision drug discovery.
author2 School of Humanities
author_facet School of Humanities
Nagarajan, Nagasundaram
Yapp, Edward K. Y.
Le, Nguyen Quoc Khanh
Kamaraj, Balu
Abeer Mohammed Al-Subaie
Yeh, Hui-Yuan
format Article
author Nagarajan, Nagasundaram
Yapp, Edward K. Y.
Le, Nguyen Quoc Khanh
Kamaraj, Balu
Abeer Mohammed Al-Subaie
Yeh, Hui-Yuan
author_sort Nagarajan, Nagasundaram
title Application of computational biology and artificial intelligence technologies in cancer precision drug discovery
title_short Application of computational biology and artificial intelligence technologies in cancer precision drug discovery
title_full Application of computational biology and artificial intelligence technologies in cancer precision drug discovery
title_fullStr Application of computational biology and artificial intelligence technologies in cancer precision drug discovery
title_full_unstemmed Application of computational biology and artificial intelligence technologies in cancer precision drug discovery
title_sort application of computational biology and artificial intelligence technologies in cancer precision drug discovery
publishDate 2020
url https://hdl.handle.net/10356/143985
_version_ 1681057982037622784