TRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulation.
The TRI_tool, a sequence-based web tool for prediction of protein interactions in the human transcriptional regulation, is intended for biomedical investigators who work on understanding the regulation of gene expression. It has an improved predictive performance due to the training on updated, human specific, experimentally validated datasets. The TRI_tool is designed to test up to 100 potential interactions with no time delay and to report both probabilities and binarized predictions.



http://www.vin.bg.ac.rs/180/tools/tfpred.php CONTACT: vladaper@vinca.rs; nevenav@vinca.rsSupplementary information: Supplementary data are available at Bioinformatics online.
Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia.
Vladimir
V
Perovic
Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia.
Neven
N
Sumonja
Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia.
Branislava
B
Gemovic
Department of Biological Sciences, University at Buffalo, Buffalo, NY 14260, USA.
Eneda
E
Toska
Department of Biological Sciences, University at Buffalo, Buffalo, NY 14260, USA.
Stefan G
SG
Roberts
Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia.
Nevena
N
Veljkovic
D019295:Computational Biology / Q000379:methods*; D005786:Gene Expression Regulation; D006801:Humans; D020407:Internet; D011485:Protein Binding; D012984:Software; D014158:Transcription, Genetic