title: Matched molecular pair analysis in drug discovery.
abstract: Multiple parameter optimisation in drug discovery is difficult, but Matched Molecular Pair Analysis (MMPA) can help. Computer algorithms can process data in an unbiased way to yield design rules and suggest better molecules, cutting the number of design cycles. The approach often makes more suggestions than can be processed manually and methods to deal with this are proposed. However, there is a paucity of contextually specific design rules, which would truly make the technique powerful. By combining extracted information from multiple sources there is an opportunity to solve this problem and advance medicinal chemistry in a matter of months rather than years.
authors.affiliation: MedChemica Limited, Ebenezer House, Ryecroft, Newcastle-Under-Lyme, Staffordshire ST5 2BE, UK. al.dossetter@medchemica.com
authors.forename: Alexander G
authors.initials: AG
authors.lastname: Dossetter
authors.forename: Edward J
authors.initials: EJ
authors.lastname: Griffen
authors.forename: Andrew G
authors.initials: AG
authors.lastname: Leach
mesh_terms: D000818:Animals; D015195:Drug Design; D055808:Drug Discovery / Q000379:methods* / Q000639:trends; D006801:Humans; D016555:Matched-Pair Analysis; D015394:Molecular Structure; D013329:Structure-Activity Relationship