NIFtHool: an informatics program for identification of NifH proteins using deep neural networks.

ABSTRACT: Atmospheric nitrogen fixation carried out by microorganisms has environmental and industrial importance, related to the increase of soil fertility and productivity. The present work proposes the development of a new high precision system that allows the recognition of amino acid sequences of the nitrogenase enzyme (NifH) as a promising way to improve the identification of diazotrophic bacteria. For this purpose, a database obtained from UniProt built a processed dataset formed by a set of 4911 and 4782 amino acid sequences of the NifH and non-NifH proteins respectively. Subsequently, the feature extraction was developed using two methodologies: (i) k-mers counting and (ii) embedding layers to obtain numerical vectors of the amino acid chains. Afterward, for the embedding layer, the data wa

SUBMITTER: Suquilanda-Pesantez JD 

PROVIDER: S-EPMC8956849 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature