Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics, 3rd Edition
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Medicinal Chemistry".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 3897
Special Issue Editors
Interests: medicinal chemistry; molecular modeling; QSAR; pharmacophore modeling; molecular dynamics; docking
Special Issues, Collections and Topics in MDPI journals
Interests: oxidative stress; nutraceuticals; anticancer drugs; medicinal chemistry; drug design and discovery; molecular modeling; QSAR; pharmacophore modeling; molecular dynamics; docking; HTVS; cystic fibrosis translational readthrough inducing drugs (TRIDs)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
After the great success of the first two editions, we are pleased to inform you that Molecules will launch the third edition of the Special Issue “Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics”.
https://www.mdpi.com/journal/molecules/special_issues/comput_appr_drug_dis_des_med_chem_bio
https://www.mdpi.com/journal/molecules/special_issues/comput_approach_drug_II
In this latest Special Issue, we will continue to collect manuscripts concerning computational approaches that can improve the development of new drugs, or the repurposing of an old drug for the treatment of new diseases.
In this light, structure-based approaches such as docking, induced-fit docking, molecular dynamics simulations, free energy calculations, reverse docking, and ligand-based approaches, such as molecular similarity fingerprints, shape methods, pharmacophore modeling, and QSAR, represent efficient tools to obtain insights in hit/lead identification and the optimization of small molecules and/or natural compounds. Moreover, computational approaches help to predict the metabolic fate of a drug candidate and to highlight the potential toxicity of the drug candidate, reducing the number of compounds to be tested. In the end, computational approaches were revealed to be of great interest in the field of nutraceuticals, allowing the identification of the mechanisms of action. This Special Issue welcomes submissions from researchers in the field of drug discovery and design, including original research and review articles related to pharmaceutical sciences, pharmacology, chemical biology, and bioinformatics.
Papers combining both experimental and computational studies are encouraged.
Prof. Dr. Anna Maria Almerico
Dr. Marco Tutone
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Molecules is an international peer-reviewed open access semimonthly 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
- QSAR and 3D-QSAR
- unbiased and biased molecular dynamics
- pharmacophore modeling
- reverse modeling
- Ab initio calculations
- protein–protein interactions
- free energy profiling
- modeling of nucleic acids (mRNA, rRNA, tRNA)
- molecular docking
- virtual screening
- multitarget approaches
- ADMET prediction
- similarity analysis
- computational approaches applied to natural compounds and nutraceuticals