Title

Comparative analysis of prokaryotic and eukaryotic transcription factors using machine-learning techniques

Authors

Nilkanta Chowdhury & Angshuman Bagchi*

Affiliation

¹Department of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia 741235, India.

Email

angshu@klyuniv.ac.in, angshuman_bagchi@yahoo.com

Article Type

Hypothesis

Date

Received June 24, 2018; Revised June 28, 2018; Accepted June 28, 2018; Published June 30, 2018

The DNA-protein interactions play vital roles in the central dogma of molecular biology. Proper interactions between DNA and protein would lead to the onset of various biological phenomena like transcription, translation, and replication. However, the mechanisms of these well-known processes vary between prokaryotic and eukaryotic organisms. The exact molecular mechanisms of these processes are unknown. Therefore, it is of interest to report the comparative estimate of the different properties of the DNA binding proteins from prokaryotic and eukaryotic organisms. We analyzed the different sequence-based features such as the frequency of amino acids and amino acid groups in the proteins of prokaryotes and eukaryotes by statistical measures. The general pattern of differences between the various DNA binding proteins for the development of a prediction system to discriminate between these proteins between prokaryotes and eukaryotes is documented.

Keywords

Prokaryotic and Eukaryotic Organisms; DNA binding proteins; Transcription factors; Distribution of amino acid residues.

Citation

Chowdhury & Bagchi. Bioinformation 14(6): 315-326 (2018)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.