title: QSAR models for the prediction of binding affinities to human serum albumin using the heuristic method and a support vector machine.
authors.affiliation: Department of Chemistry, Lanzhou University, Lanzhou 730000, China.
authors.forename: C X
authors.initials: CX
authors.lastname: Xue
authors.forename: R S
authors.initials: RS
authors.lastname: Zhang
authors.forename: H X
authors.initials: HX
authors.lastname: Liu
authors.forename: X J
authors.initials: XJ
authors.lastname: Yao
authors.forename: M C
authors.initials: MC
authors.lastname: Liu
authors.forename: Z D
authors.initials: ZD
authors.lastname: Hu
authors.forename: B T
authors.initials: BT
authors.lastname: Fan
mesh_terms: D006801:Humans; D008956:Models, Chemical; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship; D012709:Serum Albumin / Q000378:metabolism*
chemical_list: D012709:Serum Albumin