{"title":"Virtual reality in drug design: Benefits, applications and industrial perspectives","authors":"Marc Baaden , David R. Glowacki","doi":"10.1016/j.sbi.2025.103044","DOIUrl":null,"url":null,"abstract":"<div><div>Virtual reality (VR) is a tool which has transformative potential in domains which involve the visualization of complex 3D data such as structure-based drug design (SBDD), where it offers new ways to visualize and manipulate complex molecular structures in three dimensions, and enable intuitive exploration of protein-ligand complexes. In this article, we outline three levels of interaction which are available in immersive VR environments for drug discovery, and provide illustrative case studies with applications in COVID-19 research and protein-ligand docking. We discuss VR's role in drug discovery based on conversations with experts from the pharmaceutical industry. While industry experts are mostly optimistic about the potential of VR, they point to the challenges related to integration with existing workflows and the need for improved hardware ergonomics, as well as ensuring a synergistic relationship between VR and an expanding suite of artificial intelligence (AI) tools.</div></div>","PeriodicalId":10887,"journal":{"name":"Current opinion in structural biology","volume":"92 ","pages":"Article 103044"},"PeriodicalIF":6.1000,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in structural biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959440X25000624","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Virtual reality (VR) is a tool which has transformative potential in domains which involve the visualization of complex 3D data such as structure-based drug design (SBDD), where it offers new ways to visualize and manipulate complex molecular structures in three dimensions, and enable intuitive exploration of protein-ligand complexes. In this article, we outline three levels of interaction which are available in immersive VR environments for drug discovery, and provide illustrative case studies with applications in COVID-19 research and protein-ligand docking. We discuss VR's role in drug discovery based on conversations with experts from the pharmaceutical industry. While industry experts are mostly optimistic about the potential of VR, they point to the challenges related to integration with existing workflows and the need for improved hardware ergonomics, as well as ensuring a synergistic relationship between VR and an expanding suite of artificial intelligence (AI) tools.
期刊介绍:
Current Opinion in Structural Biology (COSB) aims to stimulate scientifically grounded, interdisciplinary, multi-scale debate and exchange of ideas. It contains polished, concise and timely reviews and opinions, with particular emphasis on those articles published in the past two years. In addition to describing recent trends, the authors are encouraged to give their subjective opinion of the topics discussed.
In COSB, we help the reader by providing in a systematic manner:
1. The views of experts on current advances in their field in a clear and readable form.
2. Evaluations of the most interesting papers, annotated by experts, from the great wealth of original publications.
[...]
The subject of Structural Biology is divided into twelve themed sections, each of which is reviewed once a year. Each issue contains two sections, and the amount of space devoted to each section is related to its importance.
-Folding and Binding-
Nucleic acids and their protein complexes-
Macromolecular Machines-
Theory and Simulation-
Sequences and Topology-
New constructs and expression of proteins-
Membranes-
Engineering and Design-
Carbohydrate-protein interactions and glycosylation-
Biophysical and molecular biological methods-
Multi-protein assemblies in signalling-
Catalysis and Regulation