title: Human rhinovirus 3C protease: generation of pharmacophore models for peptidic and nonpeptidic inhibitors and their application in virtual screening.
abstract: Three-dimensional pharmacophore models for peptidic and small organic nonpeptidic inhibitors of the human rhinovirus 3C protease were generated in a structure-based as well as in a ligand-based approach, using the software package Catalyst. The inhibitors possess an electrophilic moiety, often a Michael acceptor function, which covalently binds to a cysteine in the active site of the enzyme. Since this process presents the key step for virus inactivation, the creation of a new function in Catalyst was required in order to include this decisive functionality into the pharmacophore models. In the present study we focus on this feature definition process because it presents an innovative strategy to expand the pharmacophore description ability of the Catalyst software to also include covalent bonds between ligand and binding site. The resulting hypotheses were then used for virtual screening of 3D databases in order to verify their quality and to search for structurally diverse, possible new lead substances.
authors.affiliation: Institute of Pharmacy, Computer Aided Molecular Design Group, University of Innsbruck, Innrain 52, A-6020 Innsbruck, Austria.
authors.forename: Theodora
authors.initials: T
authors.lastname: Steindl
authors.forename: Christian
authors.initials: C
authors.lastname: Laggner
authors.forename: Thierry
authors.initials: T
authors.lastname: Langer
mesh_terms: D001665:Binding Sites; D008958:Models, Molecular; D010447:Peptide Hydrolases / Q000378:metabolism; D011480:Protease Inhibitors / Q000737:chemistry / Q000494:pharmacology*; D012229:Rhinovirus / Q000187:drug effects* / Q000201:enzymology
chemical_list: D011480:Protease Inhibitors; D010447:Peptide Hydrolases