Machine Learning Methods in Drug Discovery Article Swipe
Lauv Patel
,
Tripti Shukla
,
Xiuzhen Huang
,
David W. Ussery
,
Shanzhi Wang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/molecules25225277
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/molecules25225277
The advancements of information technology and related processing techniques have created a fertile base for progress in many scientific fields and industries. In the fields of drug discovery and development, machine learning techniques have been used for the development of novel drug candidates. The methods for designing drug targets and novel drug discovery now routinely combine machine learning and deep learning algorithms to enhance the efficiency, efficacy, and quality of developed outputs. The generation and incorporation of big data, through technologies such as high-throughput screening and high through-put computational analysis of databases used for both lead and target discovery, has increased the reliability of the machine learning and deep learning incorporated techniques. The use of these virtual screening and encompassing online information has also been highlighted in developing lead synthesis pathways. In this review, machine learning and deep learning algorithms utilized in drug discovery and associated techniques will be discussed. The applications that produce promising results and methods will be reviewed.
Related Topics
Concepts
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/molecules25225277
- https://www.mdpi.com/1420-3049/25/22/5277/pdf?version=1605176714
- OA Status
- gold
- Cited By
- 399
- References
- 107
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3099252273
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3099252273Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/molecules25225277Digital Object Identifier
- Title
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Machine Learning Methods in Drug DiscoveryWork title
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-11-12Full publication date if available
- Authors
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Lauv Patel, Tripti Shukla, Xiuzhen Huang, David W. Ussery, Shanzhi WangList of authors in order
- Landing page
-
https://doi.org/10.3390/molecules25225277Publisher landing page
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https://www.mdpi.com/1420-3049/25/22/5277/pdf?version=1605176714Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1420-3049/25/22/5277/pdf?version=1605176714Direct OA link when available
- Concepts
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Drug discovery, Computer science, Machine learning, Artificial intelligence, Deep learning, Big data, Data science, Data mining, Bioinformatics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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399Total citation count in OpenAlex
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2025: 86, 2024: 107, 2023: 94, 2022: 81, 2021: 29Per-year citation counts (last 5 years)
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107Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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