NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network.

ABSTRACT: With advancements in synthetic biology, the cost and the time needed for designing and synthesizing customized gene products have been steadily decreasing. Many research laboratories in academia as well as industry routinely create genetically engineered proteins as a part of their research activities. However, manipulation of protein sequences could result in unintentional production of toxic proteins. Therefore, being able to identify the toxicity of a protein before the synthesis would reduce the risk of potential hazards. Existing methods are too specific, which limits their application. Here, we extended general function prediction methods for predicting the toxicity of proteins. Protein function prediction methods have been actively studied in the bioinformatics community and have sh

SUBMITTER: Jain A 

PROVIDER: S-EPMC6884647 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature