title: Predicting molecular interactions in silico: I. A guide to pharmacophore identification and its applications to drug design.
abstract: A major goal in contemporary drug design is to develop new ligands with high affinity of binding toward a given protein receptor. Pharmacophore, which is the three-dimensional arrangement of essential features that enable a molecule to exert a particular biological effect, is a very useful model for achieving this goal. If the three dimensional structure of the receptor is known, pharmacophore is a complementary tool to standard techniques, such as docking. However, frequently the structure of the receptor protein is unknown and only a set of ligands together with their measured binding affinities towards the receptor is available. In such a case, a pharmacophore based strategy is one of the few applicable tools. Here we present a broad, yet concise guide to pharmacophore identification and review a sample of applications for drug design. In particular, we present the framework of the algorithms, classify their modules and point out their advantages and challenges.
authors.affiliation: School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel. oranit@tau.ac.il
authors.forename: Oranit
authors.initials: O
authors.lastname: Dror
authors.forename: Alexandra
authors.initials: A
authors.lastname: Shulman-Peleg
authors.forename: Ruth
authors.initials: R
authors.lastname: Nussinov
authors.forename: Haim J
authors.initials: HJ
authors.lastname: Wolfson
mesh_terms: D000465:Algorithms; D017076:Computer-Aided Design; D016208:Databases, Factual; D015195:Drug Design; D004347:Drug Interactions; D008024:Ligands; D008968:Molecular Conformation; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship; D011955:Receptors, Drug / Q000737:chemistry
chemical_list: D008024:Ligands; D011955:Receptors, Drug