Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteins

Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteins

10.1002/jps.20985

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Bibliographic Details
Main Authors: Li, H., Yap, C.W., Ung, C.Y., Xue, Y., Li, Z.R., Han, L.Y., Lin, H.H., Chen, Y.Z.
Other Authors: PHARMACY
Format: Review
Published: 2014
Subjects:
Computer aided drug design
High throughput technologies
In silico modeling
Neural networks
Pharmacokinetic/pharmacodynamic models
Online Access:http://scholarbank.nus.edu.sg/handle/10635/114479
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Institution: National University of Singapore

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