Prediction of putative adverse drug reaction-related proteins from primary sequence by support vector machines
10.2165/00124363-200519050-00009
Saved in:
Main Authors: | Zhi, L.J., Lian, Y.H., Chan, J.Z., Zhi, W.C., Yu, Z.C. |
---|---|
Other Authors: | PHARMACY |
Published: |
2016
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/131463 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
In silico search of putative adverse drug reaction related proteins as a potential tool for facilitating drug adverse effect prediction
by: Ji, Z.L., et al.
Published: (2014) -
Prediction of transmembrane proteins from their primary sequence by support vector machine approach
by: Cai, C.Z., et al.
Published: (2014) -
Prediction of RNA-binding proteins from primary sequence by a support vector machine approach
by: Han, L.Y., et al.
Published: (2014) -
Functional annotation of ORFs in viral genomes from primary sequence by support vector machine approach
by: Liang, L., et al.
Published: (2014) -
Drug adverse reaction target database (DART): Proteins related to adverse drug reactions
by: Ji, Z.L., et al.
Published: (2014)