Yasuo Tabei, Masaaki Kotera, Ryusuke Sadawa and Yoshihiro Yamanishi,
Network-based characterization of drug-protein interaction signatures with a space-efficient approach
Supplemental materials of the manuscript (Detailed explanation of the algorithm and additional figures/tables)
Drug-protein interaction signatures extracted by our proposed L1LOG-tensor method
Dmat.kcfsd: 2302 drugs x 17017 chemical substructures (in KCF-S)
Dmat.effect: 2302 drugs x 10543 side-effects (in AERS)
DPmat: 2302 drugs x 2334 proteins
Pmat.pfam: 2302 drugs x 2678 domains (in PFAM)
Pmat.pathway: 2302 drugs x 270 pathways (in KEGG)
Pmat.module: 2302 drugs x 107 modules (in KEGG)
- Software is available upon request.
Note that the software can be used only for academic research.
The software must not be distributed without prior permission of the author.