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ReactPRED: a tool to predict and analyze biochemical reactions
Author(s) -
T. Sivakumar,
Varun Giri,
Jin Hwan Park,
Tae Yong Kim,
Anirban Bhaduri
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw491
Subject(s) - computer science , set (abstract data type) , graphical user interface , data mining , transformation (genetics) , rule based system , interface (matter) , user interface , artificial intelligence , programming language , chemistry , biochemistry , bubble , maximum bubble pressure method , parallel computing , gene
Biochemical pathways engineering is often used to synthesize or degrade target chemicals. In silico screening of the biochemical transformation space allows predicting feasible reactions, constituting these pathways. Current enabling tools are customized to predict reactions based on pre-defined biochemical transformations or reaction rule sets. Reaction rule sets are usually curated manually and tailored to specific applications. They are not exhaustive. In addition, current systems are incapable of regulating and refining data with an aim to tune specificity and sensitivity. A robust and flexible tool that allows automated reaction rule set creation along with regulated pathway prediction and analyses is a need. ReactPRED aims to address the same.

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