Application of Computer Simulation in Drug Design

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

Deadline for manuscript submissions: 31 January 2026 | Viewed by 623

Special Issue Editors


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Guest Editor
1. Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Viale delle Scienze, Ed. 17, I-90128 Palermo, Italy
2. Fondazione Umberto Veronesi (FUV), via Solferino 19, 20121 Milan, Italy
Interests: medicinal chemistry; computer-aided drug design; targeted cancer therapy; molecular modeling; drug development; in silico; breast cancer; design and synthesis; anticancer drug design

E-Mail Website
Guest Editor
1. Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Viale delle Scienze, Ed. 17, I-90128 Palermo, Italy
2. NBFC, National Biodiversity Future Center, Piazza Marina 61, 90133 Palermo, Italy
Interests: medicinal chemistry; computational approaches; computer-aided drug design; targeted cancer therapy; molecular modeling; drug development; in silico; breast cancer; design and synthesis; anticancer early drug discovery; covalent inhibition
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Special Issue Information

Dear Colleagues,

The growing power of computer simulations is reshaping the landscape of modern drug discovery. From early hit identification to lead optimization, in silico methods—including molecular docking, pharmacophore modeling, molecular dynamics simulations, and AI-driven algorithms—are becoming essential components in the development of novel small-molecule inhibitors (SMIs). These approaches provide efficient, cost-effective, and mechanistically insightful strategies for identifying and optimizing new therapeutic candidates.

This Special Issue aims to showcase recent advances and innovations in the application of computational simulations to drug design, with a particular emphasis on the rational discovery and optimization of SMIs. We encourage submissions of original research and comprehensive reviews exploring diverse computational techniques applied to various disease areas, including oncology, infectious diseases, and neurodegeneration.

Topics of interest include, but are not limited to, the following: virtual screening, structure-based drug design, molecular dynamics, AI/ML-assisted drug discovery, binding free-energy calculations, drug repurposing, and integrative strategies.

Our goal is to provide an up-to-date overview of how computer simulations are transforming drug design and to inspire collaborative efforts across disciplines that accelerate the development of effective therapeutics.

We look forward to receiving your contributions.

Dr. Alessia Bono
Prof. Dr. Antonino Lauria
Guest Editors

Manuscript Submission Information

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Keywords

  • in silico
  • drug design
  • drug discovery
  • molecular docking
  • molecular dynamics simulations
  • structure-based
  • ligand-based
  • virtual screening
  • drug repurposing

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Published Papers (1 paper)

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9 pages, 476 KB  
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PROTACs and Glues: Striking Perspectives for Engineering Cancer Therapy À La Carte
by Jean-Marc Ferrero, Jocelyn Gal, Baharia Mograbi and Gérard Milano
Pharmaceuticals 2025, 18(9), 1397; https://doi.org/10.3390/ph18091397 - 17 Sep 2025
Viewed by 352
Abstract
PROTACs are bifunctional small molecules that simultaneously bind a target protein and a component of the ubiquitin–proteasome system, thereby inducing selective degradation of the target. They represent a class of compounds capable of achieving the complete elimination of disease-relevant proteins. Molecular glues, by [...] Read more.
PROTACs are bifunctional small molecules that simultaneously bind a target protein and a component of the ubiquitin–proteasome system, thereby inducing selective degradation of the target. They represent a class of compounds capable of achieving the complete elimination of disease-relevant proteins. Molecular glues, by contrast, enhance existing surface complementarity between an E3 ligase and a target protein, promoting its ubiquitination and subsequent degradation. Both approaches are at the forefront of current efforts to overcome the long-standing challenge of undruggable tumor targets. In this context, AI-based strategies offer a powerful means to accelerate the discovery, optimization, and production of highly selective protein binders, streamlining access to potent degraders and maximizing therapeutic potential. These capabilities open new horizons for targeting a wide spectrum of previously inaccessible molecular pathways involved in cancer progression. Altogether, these advances position PROTACs and molecular glues as transformative agents for personalized oncology, particularly within the emerging paradigm of molecular tumor boards, where tailored therapeutic decisions and tumor-adapted drugs could be made rapidly accessible for a given patient. Full article
(This article belongs to the Special Issue Application of Computer Simulation in Drug Design)
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