Please use this identifier to cite or link to this item: https://doi.org/10.1002/jcc.23173
Title: PaDEL-DDPredictor: Open-source software for PD-PK-T prediction
Authors: He, Y.
Liew, C.Y.
Sharma, N.
Woo, S.K.
Chau, Y.T.
Yap, C.W. 
Keywords: absorption, distribution, metabolism, excretion, and toxicity
open-source
PKPD
prediction
quantitative structure-activity relationship
Issue Date: 15-Mar-2013
Citation: He, Y., Liew, C.Y., Sharma, N., Woo, S.K., Chau, Y.T., Yap, C.W. (2013-03-15). PaDEL-DDPredictor: Open-source software for PD-PK-T prediction. Journal of Computational Chemistry 34 (7) : 604-610. ScholarBank@NUS Repository. https://doi.org/10.1002/jcc.23173
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. © 2012 Wiley Periodicals, Inc.
Source Title: Journal of Computational Chemistry
URI: http://scholarbank.nus.edu.sg/handle/10635/106195
ISSN: 01928651
DOI: 10.1002/jcc.23173
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