Classical and Quantum Molecular Simulations in Drug Design

A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Medicinal Chemistry".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 73

Special Issue Editor


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Guest Editor
Center of Health Sciences, Laboratory of Molecular Modeling and Computational Structural Biology, Federal University of Rio de Janeiro, IPPN, Av. Carlos Chagas Filho 373, Bloco H, Rio de Janeiro 21941-599, Brazil
Interests: molecular modeling; computational and medicinal chemistry; molecular simulations; structural biology
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Special Issue Information

Dear Colleagues,

Molecular simulation methods in drug design are computational techniques that use mathematical models and algorithms to study the structure, dynamics and interactions of molecules, such as proteins and drugs. It can help understand the molecular mechanisms of drug action, predict the binding affinity and selectivity of drug candidates, optimize drug properties and pharmacokinetics, and discover new drug targets and mechanisms. Some of the common molecular simulation methods in drug design are molecular docking, predicting the preferred orientation and conformation of a drug molecule when it binds to a target protein or receptor; molecular dynamics (MD), simulating the movement and behavior of atoms and molecules over time using Newtonian laws of motion and force fields; Monte Carlo (MC), that uses random sampling to approximate the behavior and outcomes of complex systems, such as drug design, and can help to explore the effects of uncertainty, variability and heterogeneity in drug design, and evaluate the performance and robustness of different design strategies; free energy calculations, estimating the thermodynamic quantity that determines the spontaneity and equilibrium of a molecular process, such as the binding of a drug to a biomolecular target; and quantum mechanics (QM), describing the electronic structure and properties of atoms and molecules using the principles of quantum physics and useful to model chemical reactions.

In this Special Issue, I aim to draw together research papers and reviews from experts in the field of molecular simulation that highlight traditional and new computational methods and strategies to discover and design new drugs.

Dr. Osvaldo Andrade Santos-Filho
Guest Editor

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. Pharmaceuticals 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 2900 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 dynamics simulations
  • monte carlo simulations
  • docking simulations
  • free energy calculations
  • QM/MM modeling

Published Papers

This special issue is now open for submission.
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