TRI-tool: A web-tool for prediction of protein-protein interactions in human transcriptional regulation

Vladimir Perovic; Neven Sumonja; Branislava Gemovic; Eneda Toska; Stefan G. Roberts; Nevena Veljkovic

doi:10.1093/bioinformatics/btw590

TRI-tool: A web-tool for prediction of protein-protein interactions in human transcriptional regulation

Vladimir Perovic
, Neven Sumonja
, Branislava Gemovic
, Eneda Toska
, Stefan G. Roberts
, Nevena Veljkovic

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: 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.

Original language	English (US)
Pages (from-to)	289-291
Number of pages	3
Journal	Bioinformatics
Volume	33
Issue number	2
DOIs	https://doi.org/10.1093/bioinformatics/btw590
State	Published - Jan 15 2017
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btw590

Cite this

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abstract = "Summary: 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.",

author = "Vladimir Perovic and Neven Sumonja and Branislava Gemovic and Eneda Toska and Roberts, \{Stefan G.\} and Nevena Veljkovic",

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AU - Gemovic, Branislava

AU - Toska, Eneda

AU - Roberts, Stefan G.

AU - Veljkovic, Nevena

PY - 2017/1/15

Y1 - 2017/1/15

N2 - Summary: 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.

AB - Summary: 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.

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TRI-tool: A web-tool for prediction of protein-protein interactions in human transcriptional regulation

Abstract

ASJC Scopus subject areas

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