Virtual screening

Pure mathematics

Mathematics

Bioinformatics

Biology

Computational chemistry

Artificial intelligence

Chemistry

Data science

Computer science

Computational biology

Drug discovery

Field (mathematics)

Pharmacophore

Cheminformatics

Wiley Interdisciplinary Reviews Computational Molecular Science

3D pharmacophore models are three‐dimensional ensembles of chemically defined interactions of a ligand in its bioactive conformation. They represent an elegant way to decipher chemically encoded ligand information and have therefore become a valuable tool in drug design. In this review, we provide an overview on the basic concept of this method and summarize key studies for applying 3D pharmacophore models in virtual screening and mechanistic studies for protein functionality. Moreover, we discuss recent developments in the field. The combination of 3D pharmacophore models with molecular dynamics simulations could be a quantum leap forward since these approaches consider macromolecule–ligand interactions as dynamic and therefore show a physiologically relevant interaction pattern. Other trends include the efficient usage of 3D pharmacophore information in machine learning and artificial intelligence applications or freely accessible web servers for 3D pharmacophore modeling. The recent developments show that 3D pharmacophore modeling is a vibrant field with various applications in drug discovery and beyond. This article is categorized under: Computer and Information Science &gt; Chemoinformatics Computer and Information Science &gt; Computer Algorithms and Programming Molecular and Statistical Mechanics &gt; Molecular Interactions

Next generation 3D pharmacophore modeling