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Machine learning approaches and their applications in drug discovery and design

Published:2022-04-23 Issue:1 Volume:100 Page:136-153
ISSN:1747-0277
Container-title:Chemical Biology & Drug Design
language:en
Short-container-title:Chem Biol Drug Des

Author:

Priya Sonal¹,Tripathi Garima¹,Singh Dev Bukhsh²^ORCID,Jain Priyanka³,Kumar Abhijeet⁴

Affiliation:

1. Department of Chemistry T. N. B. College TMBU Bhagalpur India

2. Department of Biotechnology Siddharth University Siddharth Nagar India

3. National Institute of Plant Genome Research New Delhi India

4. Department of Chemistry Mahatma Gandhi Central University Motihari India

Publisher

Wiley

Subject

Molecular Medicine,Biochemistry,Drug Discovery,Pharmacology,Organic Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cbdd.14057

Reference100 articles.

1. Recent Advances in Ligand-Based Drug Design: Relevance and Utility of the Conformationally Sampled Pharmacophore Approach

2. Data Classification

3. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

4. Development of METAL-ACTIVE SITE and ZINCCLUSTER tool to predict active site pockets

5. Cheminformatics approaches to analyze diversity in compound screening libraries

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2. Novel drug discovery: Advancing Alzheimer's therapy through machine learning and network pharmacology;European Journal of Pharmacology;2024-08

3. Deductive Machine Learning Challenges and Opportunities in Chemical Applications;Annual Review of Chemical and Biomolecular Engineering;2024-07-24

4. In Silico Design and In Vitro Assessment of Bicyclic Trifluoromethylated Pyrroles as New Antibacterial and Antifungal Agents;Chemistry & Biodiversity;2024-07-16

5. Harnessing machine learning potential for personalised drug design and overcoming drug resistance;Journal of Drug Targeting;2024-06-13

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