title: Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery.
abstract: The melting point (MP), an easily accessible physical parameter, has considerable potential for the judgment of drug-like properties. However, to the best of our knowledge, there are no useful guidelines for understanding the relationship between the MP and drug-like properties. To this end, we have constructed the largest MP database (experimental value) of globally approved drugs (3164 organic small-molecule drugs) and discontinued drugs (417 organic small-molecule drugs) and subsequently extracted six subdatabases from the whole approved database and two subdatabases from the discontinued database. The MP distribution statistics and analysis of approved drugs reveal five noteworthy observations; moreover, the MP distribution statistics and analysis of discontinued drugs further supplement these criteria. In addition, the comparison of molecular weight (MW) versus MP and Clog P versus MP distributions of different classes of approved drugs indicated that the MWs and Clog P values of most drugs in the optimal MP range were not more than 500 and 5, respectively, implying the MP distribution criterion was in accordance with Lipinski's rule of five.
authors.affiliation: Shanghai Key Laboratory of New Drug Design School of Pharmacy East China University of Science and Technology 130 Mei Long Road Shanghai 200237 P. R. China.
authors.forename: Fei
authors.initials: F
authors.lastname: Mao
authors.affiliation: Shanghai Key Laboratory of New Drug Design School of Pharmacy East China University of Science and Technology 130 Mei Long Road Shanghai 200237 P. R. China.
authors.forename: Qingya
authors.initials: Q
authors.lastname: Kong
authors.affiliation: Shanghai Key Laboratory of New Drug Design School of Pharmacy East China University of Science and Technology 130 Mei Long Road Shanghai 200237 P. R. China.
authors.forename: Wei
authors.initials: W
authors.lastname: Ni
authors.affiliation: Shanghai Key Laboratory of New Drug Design School of Pharmacy East China University of Science and Technology 130 Mei Long Road Shanghai 200237 P. R. China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Xu
authors.affiliation: Shanghai Key Laboratory of New Drug Design School of Pharmacy East China University of Science and Technology 130 Mei Long Road Shanghai 200237 P. R. China.
authors.forename: Dazheng
authors.initials: D
authors.lastname: Ling
authors.affiliation: Shanghai Key Laboratory of New Drug Design School of Pharmacy East China University of Science and Technology 130 Mei Long Road Shanghai 200237 P. R. China.
authors.forename: Zhengyu
authors.initials: Z
authors.lastname: Lu
authors.affiliation: Shanghai Key Laboratory of New Drug Design School of Pharmacy East China University of Science and Technology 130 Mei Long Road Shanghai 200237 P. R. China.
authors.forename: Jian
authors.initials: J
authors.lastname: Li
keywords: Lipinski′s rule of five; approved drugs; discontinued drugs; drug design and discovery; drug-like properties; melting point distribution