title: PaDEL-DDPredictor: open-source software for PD-PK-T prediction.
abstract: ADMET (absorption, distribution, metabolism, excretion, and toxicity)-related failure of drug candidates is a major issue for the pharmaceutical industry today. Prediction of PD-PK-T properties using in silico tools has become very important in pharmaceutical research to reduce cost and enhance efficiency. PaDEL-DDPredictor is an in silico tool for rapid prediction of PD-PK-T properties of compounds from their chemical structures. It is free and open-source software that, has both graphical user interface and command line interface, can work on all major platforms (Windows, Linux, and MacOS) and supports more than 90 different molecular file formats. The software can be downloaded from http://padel.nus.edu.sg/software/padelddpredictor.
authors.affiliation: Department of Pharmacy, Pharmaceutical Data Exploration Laboratory, National University of Singapore, Block S4, 18 Science Drive 4, Singapore 117543, Singapore.
authors.forename: Yuye
authors.initials: Y
authors.lastname: He
authors.forename: Chin Yee
authors.initials: CY
authors.lastname: Liew
authors.forename: Nitin
authors.initials: N
authors.lastname: Sharma
authors.forename: Sze Kwang
authors.initials: SK
authors.lastname: Woo
authors.forename: Yi Ting
authors.initials: YT
authors.lastname: Chau
authors.forename: Chun Wei
authors.initials: CW
authors.lastname: Yap
mesh_terms: D004345:Drug Industry; D020407:Internet; D000069437:Pharmacological Phenomena; D012984:Software