title: Random molecular fragment methods in computational medicinal chemistry.
abstract: Molecular substructures and fragment descriptors are important tools for many computational applications in medicinal chemistry and drug design. Here we briefly review the history of molecular fragmentation methods and describe the currently most widely used approaches. Then we focus on random fragmentation methods that have only recently been introduced and discuss selected applications. It is shown that the generation and mining of random fragment populations makes it possible to identify novel types of fragment descriptors and generate similarity search tools that depart from conventional design approaches. Thus, random fragmentation schemes complement and further extend established fragment methods.
authors.affiliation: Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany.
authors.forename: Eugen
authors.initials: E
authors.lastname: Lounkine
authors.forename: José
authors.initials: J
authors.lastname: Batista
authors.forename: Jürgen
authors.initials: J
authors.lastname: Bajorath
mesh_terms: D002626:Chemistry, Pharmaceutical / Q000379:methods*; D003198:Computer Simulation; D016208:Databases, Factual; D015195:Drug Design; D004353:Drug Evaluation, Preclinical; D015394:Molecular Structure; D004364:Pharmaceutical Preparations / Q000737:chemistry*; D013329:Structure-Activity Relationship
chemical_list: D004364:Pharmaceutical Preparations