TRMP: a database of therapeutically relevant multiple pathways.
Disease processes often involve crosstalks between proteins in different pathways. Different proteins have been used as separate therapeutic targets for the same disease. Synergetic targeting of multiple targets has been explored in combination therapy of a number of diseases. Potential harmful interactions of multiple targeting have also been closely studied. To facilitate mechanistic study of drug actions and a more comprehensive understanding the relationship between different targets of the same disease, it is useful to develop a database of known therapeutically relevant multiple pathways (TRMPs). Information about non-target proteins and natural small molecules involved in these pathways also provides useful hint for searching new therapeutic targets and facilitate the understanding of how therapeutic targets interact with other molecules in performing specific tasks. The TRMPs database is designed to provide information about such multiple pathways along with related therapeutic targets, corresponding drugs/ligands, targeted disease conditions, constituent individual pathways, structural and functional information about each protein in the pathways. Cross links to other databases are also introduced to facilitate the access of information about individual pathways and proteins.


BACKGROUND
This database can be accessed at http://bidd.nus.edu.sg/group/trmp/trmp.asp and it currently contains 11 entries of multiple pathways, 97 entries of individual pathways, 120 targets covering 72 disease conditions together with 120 sets of drugs directed at each of these targets. Each entry can be retrieved through multiple methods including multiple pathway name, individual pathway name and disease name.


BACKGROUND
http://bidd.nus.edu.sg/group/trmp/sm.pdf
Zheng
C J
CJ
Department of Computational Science, National University of Singapore, Blk S17, Level 7, 3 Science Drive 2, Singapore 117543.
Zhou
H
H
Xie
B
B
Han
L Y
LY
Yap
C W
CW
Chen
Y Z
YZ
D015415:Biomarkers / Q000378:metabolism*; D003628:Database Management Systems; D016208:Databases, Factual; D004194:Disease; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D009097:Multienzyme Complexes / Q000378:metabolism; D011506:Proteins / Q000145:classification / Q000378:metabolism*; D015398:Signal Transduction; D013812:Therapeutics / Q000379:methods*; D014584:User-Computer Interface
D015415:Biomarkers; D009097:Multienzyme Complexes; D011506:Proteins