title: Enzyme classification using complex dynamic hemithioacetal systems.
abstract: A complex dynamic hemithioacetal system was generated for the evaluation of lipase reactivities in organic media. In combination with pattern recognition methodology, twelve different lipases were successfully classified into four distinct groups following their reaction selectivities and reactivities. A probe lipase was further categorized using the training matrix with predicted reactivity.
authors.affiliation: Department of Chemistry, KTH - Royal Institute of Technology, Teknikringen 30, 10044 Stockholm, Sweden. ramstrom@kth.se.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
authors.forename: H Surangi N
authors.initials: HS
authors.lastname: Jayawardena
authors.forename: Mingdi
authors.initials: M
authors.lastname: Yan
authors.forename: Olof
authors.initials: O
authors.lastname: Ramström
mesh_terms: D000080:Acetals / Q000737:chemistry / Q000378:metabolism*; D055162:Biocatalysis; D008049:Lipase / Q000737:chemistry / Q000145:classification* / Q000378:metabolism*; D015394:Molecular Structure; D013379:Substrate Specificity; D013438:Sulfhydryl Compounds / Q000737:chemistry / Q000378:metabolism*
chemical_list: D000080:Acetals; D013438:Sulfhydryl Compounds; D008049:Lipase