title: [Quantitative structure-activity relationships of cyclin-dependent kinase 1 inhibitors].
abstract: A new approach for quantitative structure-activity relationships based on MNA descriptors, fuzzy gradation method and self-consistent regression has been proposed. This approach has been realized in the computer program GUSAR (General Unrestricted Structure Activity Relationships). Our method has been validated on CDK1 inhibitors. Prediction accuracy is comparable with popular methods of 3D QSAR: CoMFA and CoMSIA. However, in contrast to CoMFA and CoMS1A, GUSAR approach does not require information about 3D structure of enzyme and ligand. Application of GUSAR method for heterogeneous training sets has been shown.
authors.forename: A V
authors.initials: AV
authors.lastname: Zakharov
authors.forename: A A
authors.initials: AA
authors.lastname: Lagunin
authors.forename: D A
authors.initials: DA
authors.lastname: Filimonov
authors.forename: V V
authors.initials: VV
authors.lastname: Poroĭkov
mesh_terms: D016203:CDC2 Protein Kinase / Q000037:antagonists & inhibitors*; D015195:Drug Design; D004791:Enzyme Inhibitors / Q000737:chemistry*; D006860:Hydrogen Bonding; D011687:Purines / Q000737:chemistry; D021281:Quantitative Structure-Activity Relationship; D012044:Regression Analysis; D012984:Software
chemical_list: D004791:Enzyme Inhibitors; D011687:Purines; D016203:CDC2 Protein Kinase