Drug Screening Design Based on Deep Learning and Computational Biology
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 60
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the intersection of deep learning and computational biology for drug screening design. The integration of these advanced methodologies has revolutionized the field, enabling the efficient identification and optimization of potential drug candidates. The aim of this Special Issue is to highlight the latest advancements in and applications of deep learning techniques in computational biology, with a particular emphasis on drug discovery and development. We invite original research articles, review articles, and short communications that cover one or more of the following topics:
- Development and application of deep learning algorithms for drug screening;
- Integration of computational biology tools with deep learning for drug discovery;
- Advances in molecular modeling techniques using deep learning;
- Implementation of computational frameworks for high-throughput drug screening;
- Application of AI and machine learning in predicting drug–target interactions;
- Case studies on successful drug design projects using deep learning and computational biology.
We anticipate that this Special Issue will provide valuable insights for both newcomers and experienced researchers in the field, offering a comprehensive overview of current methodologies and their practical applications in drug screening design.
Dr. Haiping Zhang
Guest Editor
Manuscript Submission Information
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Keywords
- deep learning
- computational biology
- drug screening
- protein–ligand interaction
- AI drug
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