AI Driven Structural and Functional Genomics and Translational Medicine
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Medicinal Chemistry".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3332
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the advancement of AI and machine learning methods in the recent years, computational biology has not only led to breakthroughs in fundamental science and technology, but also made significant positive impacts on human health and environmental sustainability. For example, in 2020, Alpha-Fold has set a new benchmark of improved accuracy on protein structure predictions which serves the basis for many useful applications, including disease mutation 3D structural mapping and accelerated drug discovery. At the molecular level, computational biology enables increasingly accurate predictions of structure and functions of macromolecular biomolecules and their interactions with each other and small molecules. On the genomic and system biology scale, AI and machine learning methods have demonstrated their roles in interdisciplinary research involving the “Design–Build–Test–Learn“ (DBTL) cycle and accelerated biomedical research in all stages from in silico and bench to bedside and ultimately improved the quality of our daily life. We would like to take this opportunity to invite submissions of new cutting-edge research in the areas of computational biology with a focus on new methods in structural and functional predictions of proteome, genetics and epigenetics, drug discovery, virtual screening, and translational medicine.
Dr. Hongnan Cao
Guest Editor
Manuscript Submission Information
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Keywords
- computational method
- protein chemistry
- structure and functions
- drug discovery
- virtual screening
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