Innovative Drug Discovery and Mechanism Studies Based on Phenotypic Screening
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Medicinal Chemistry".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 361
Special Issue Editors
Interests: medicinal chemistry; drug design; drug discovery; phenotypic screening; artificial intelligence; chemical biology
Special Issues, Collections and Topics in MDPI journals
Interests: medicinal chemistry; chemical biology; computational chemistry; design and discovery of protein degraders
Special Issue Information
Dear Colleagues,
Phenotype-based screening uses an unbiased approach to find compounds that modify the outcome of a particular cell or organism of interest. It has the advantage of identifying drug leads that possess therapeutic potential for diseases with unknown or complex mechanisms. Phenotypic screening approaches have led to the discovery of several new molecular entities; some of them are first-in-class and have been approved for medications such as Sirolimus, Daptomycin, Artemether, Fingolimod, etc. Moreover, new bioactive compounds have inspired researchers to identify novel mechanisms that trigger biological effects for disease treatment.
With this Special Issue, we are pleased to invite our colleagues to present their findings in the field of phenotypic-screening-based drug discovery. In particular, articles reporting novel mechanisms of new active compounds are encouraged. This Special Issue aims to provide the most updated insights into phenotypic-screening-based drug discovery, and original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: the development of new phenotypic screening approaches, bioactivity screening of compound libraries, the discovery of novel bioactive lead compounds, druggability research, structure–activity relationship studies, proteomics-based mechanism studies and target identification, reverse docking and molecular modeling.
We look forward to receiving your contributions.
Prof. Dr. Jinxin Che
Prof. Dr. Chengliang Zhu
Guest Editors
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Keywords
- drug discovery
- phenotypic screening
- mechanism study
- structure–activity relationship study
- molecule docking and modeling
- target identification
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