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Emerging Horizons in Drug Discovery: Unveiling the Synergy of Ligand-Based and Structure-Based Methods

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 169

Special Issue Editors


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Guest Editor
Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan
Interests: molecular dynamics simulation of any systems of pharmaceutical and biological interest; design of new bio-active molecules using computer-aided modeling techniques; modeling of small organic molecules, proteins, and protein–ligand interactions; ligand-based and structure-based pharmacophore design

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Guest Editor
LORIA Institute (Laboratoire Lorrain de Recherches en Informatique et Applications), Université de Lorraine, CNRS, INRIA, Vandoeuvre les Nancy, France
Interests: virtual screening; molecular dynamics; Monte Carlo; QM/MM; molecular recognition; optimization; data mining; clustering; deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A variety of strategies have emerged to facilitate the deliberate design of drug molecules possessing specific properties. These encompass structure-based, ligand-based, fragment-based, and de novo approaches employing diverse experimental techniques. Widely employed structure-based methods such as molecular docking, homology modeling, molecular dynamics, and structure-based virtual screening have yielded valuable insights into the intricate interactions between ligands and receptors. On the other hand, ligand-based approaches such as pharmacophore modeling, quantitative structure-activity relationships (QSAR), and ligand-based virtual screening have played an active role in elucidating chemical properties and pharmacological activities.

Furthermore, the employment of quantitative structure-property relationship models (QSPR) is essential in predicting pharmacokinetics while protein dynamics and conformational transitions play a key role in governing allosteric communication between ligands and biomolecules. By combining these approaches, a significant understanding of protein behavior and its impact on vital biological processes, including signal transduction and protein function regulation, can be achieved, making evident, the immense potential of integrating diverse computational and experimental techniques to provide comprehensive and mechanistic insights into protein conformational dynamics and function.

This special issue will focus on the current advances in computational techniques, including the AI driven ones, towards elucidating protein dynamics, binding, and allostery. We cordially invite researchers to submit their original contributions, short communications, or review articles showcasing the application of structure-based and ligand-based methods in the discovery, design, and optimization of therapeutic molecules. We highly encourage the submission of both purely in-silico studies as well as computational investigations complemented by experimental validations.

Prof. Dr. Zaheer Ul-Haq
Dr. Bernard Maigret
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

  • ligand-based drug design
  • structure-based drug design
  • molecular modeling
  • drug discovery
  • medicinal chemistry

Published Papers

This special issue is now open for submission.
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