Applied Deep Learning and Machine Learning in Drug Design and Discovery
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 1535
Special Issue Editor
Interests: artificial intelligence; drug discovery; wireless communication; postquantum cryptography
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the application of deep learning and machine learning techniques in the field of drug design and discovery. It aims to explore the innovative ways in which these advanced computational approaches are being employed to accelerate drug development, optimize molecular structures, predict drug–target interactions, and enhance our understanding of complex biological systems. The articles featured in this issue will showcase cutting-edge research and developments at the intersection of artificial intelligence, chemistry, and biology, contributing to the advancement of pharmaceutical science and therapeutics.
Prof. Dr. Junghyun Kim
Guest Editor
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Keywords
- drug design
- drug discovery
- artificial intelligence
- machine learning
- deep learning
- drug–target interactions
- drug–drug interactions
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