title: Quantitative structure-affinity relationship of 5-HT1A receptor ligands by the classification tree method.
abstract: The influence of molecular structure of 346 ligands on their affinity for 5-HT1A receptors was investigated. It was shown that the effectiveness of the proposed novel approach for interpretation of decision tree models compared favourably with the PLS method. In the context of the proposed approach, molecular fragments and their values of the relative influence on the affinity for 5-HT1A receptors were defined.
authors.affiliation: A.V. Bogatsky Physical-Chemical Institute of the National Academy of Sciences of Ukraine, Odessa, Ukraine.
authors.forename: V E
authors.initials: VE
authors.lastname: Kuz'min
authors.forename: P G
authors.initials: PG
authors.lastname: Polischuk
authors.forename: A G
authors.initials: AG
authors.lastname: Artemenko
authors.forename: S Yu
authors.initials: SY
authors.lastname: Makan
authors.forename: S A
authors.initials: SA
authors.lastname: Andronati
mesh_terms: D001665:Binding Sites; D007700:Kinetics; D008024:Ligands; D008958:Models, Molecular; D010879:Piperazines / Q000737:chemistry / Q000378:metabolism; D021281:Quantitative Structure-Activity Relationship; D044282:Receptor, Serotonin, 5-HT1A / Q000737:chemistry / Q000378:metabolism*
chemical_list: D008024:Ligands; D010879:Piperazines; D044282:Receptor, Serotonin, 5-HT1A