Protein Remote Homology Detection-Methods and Evaluation Metrics


Authors : Gopinath K; Rajendran G

Volume/Issue : Volume 7 - 2022, Issue 4 - April

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3sq6YTd

DOI : https://doi.org/10.5281/zenodo.6508840

Protein Remote Homology Detection (PRHD) is a concept that aims to discover remote evolutionary links between proteins. PRHD research is currently vital for assessing protein structures and function. A variety of computational approaches have been developed in recent decades to overcome this challenge which requires constant-width characteristics to specify the Protein Sequences (PSs). However, with only a rudimentary knowledge of proteins, identifying their discrimination characteristics is not an easy task. Therefore, a brief comparative review and comparison of different computation methods is essential for PRHD. In this paper, a review of various PRHD methods with the help of different computational methods is presented. In addition, their benefits and drawbacks are discussed in a tabular form. Lastly, the whole survey is summarized and future directions are suggested to improve the efficiency of protein classification based on amino acid sequences, especially with low sequence identity between proteins.

Keywords : Protein Remote Homology Detection (PRHD), Protein Networks, Fold Recognition, Machine Learning, Deep Learning

CALL FOR PAPERS


Paper Submission Last Date
31 - July - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe