title: A review on molecular topology: applying graph theory to drug discovery and design.
abstract: Molecular topology is an application of graph theory and statistics in fields like chemistry, biology, and pharmacology, in which the molecular structure matters. Its scope is the topological characterization of molecules by means of numerical invariants, called topological indices, which are the main ingredients of the molecular topological models. These are statistical models that are instrumental in the discovery of new applications of naturally occurring molecules, as well as in the design of synthetic molecules with specific chemical, biological, or pharmacological properties. In this review, we focus on pharmacology, which is a novel field of application of molecular topology. Besides summarizing some recent developments, we also seek to bring closer this interesting biomedical application of mathematics to an interdisciplinary readership.
authors.affiliation: Operation Research Center, Miguel Hernández University, Elche, Alicante, Spain. jm.amigo@umh.es
authors.forename: José María
authors.initials: JM
authors.lastname: Amigó
authors.forename: Jorge
authors.initials: J
authors.lastname: Gálvez
authors.forename: Vincent M
authors.initials: VM
authors.lastname: Villar
mesh_terms: D003196:Computer Graphics; D055808:Drug Discovery / Q000379:methods*; D008433:Mathematics; D008958:Models, Molecular; D008962:Models, Theoretical; D015394:Molecular Structure; D011789:Quantum Theory