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Recent Trends and Applications in 3D Virtual Screening

Leo Ghemtio 1 Violeta I. Pérez-Nueno 1 Vincent Leroux 2 Yasmine Asses 1 Michel Souchet 3 Lazaros Mavridis 1 Bernard Maigret 1 David Ritchie 1 
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Virtual screening (VS) is becoming an increasingly important approach for identifying and selecting biologically active molecules against specific pharmaceutically relevant targets. Compared to conventional high throughput screening techniques, in silico screening is fast and inexpensive, and is increasing in popularity in early-stage drug discovery endeavours. This paper reviews and discusses recent trends and developments in three-dimensional (3D) receptor-based and ligand-based VS methodologies. First, we describe the concept of accessible chemical space and its exploration. We then describe 3D structural ligand-based VS techniques, hybrid approaches, and new approaches to exploit additional knowledge that can now be found in large chemogenomic databases. We also briefly discuss some potential issues relating to pharmacokinetics, toxicity profiling, target identification and validation, inverse docking, scaffold-hopping and drug re-purposing. We propose that the best way to advance the state of the art in 3D VS is to integrate complementary strategies in a single drug discovery pipeline, rather than to focus only on theoretical or computational improvements of individual techniques. Two recent 3D VS case studies concerning the LXR-β receptor and the CCR5/CXCR4 HIV co-receptors are presented as examples, which implement some of the complementary methods and strategies that are reviewed here.
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Submitted on : Friday, November 23, 2012 - 5:21:29 PM
Last modification on : Thursday, August 4, 2022 - 5:18:44 PM


  • HAL Id : hal-00756800, version 1


Leo Ghemtio, Violeta I. Pérez-Nueno, Vincent Leroux, Yasmine Asses, Michel Souchet, et al.. Recent Trends and Applications in 3D Virtual Screening. Combinatorial Chemistry and High Throughput Screening, 2012, 15 (9), pp.749-769. ⟨hal-00756800⟩



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