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Molecular Docking and Structure-Based Virtual Screenings as Efficient Tools in Bioorganic and Medicinal Chemistry
This special issue belongs to the section “Chemical Biology“.
Special Issue Information
Dear Colleagues,
Molecular docking has become a classical tool to gain insight into structure–activity relationships by analyzing the binding modes of drug candidates to molecular targets. This technique also permits the in-silico design of active biomolecules. Structure-based virtual screenings have also changed traditional screenings by decreasing the number of tested compounds using in silico filters. For docking and docking-based virtual screening, the availability of compound databases and structures of protein targets obtained by biophysical techniques or homology modeling is essential to develop new strategies for discovering new bioactive molecules.
This Topical Collection aims at reporting new achievements in molecular docking and virtual screening studies in the field of bioorganic and medicinal chemistry, in terms of strategies, methodologies, and case studies.
Dr. Laurent Soulère
Collection Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Molecular docking
- Virtual screening
- In silico design
- Compound databases
- Binding mode studies
- Proteins targets
- Bioactive molecules
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