International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 104

Research Paper | Computer Science | India | Volume 2 Issue 10, October 2013


Protein Structure Comparison and Classifications into Domains

Manish Kumar [31] | Kapil Govil [2]


Abstract: Protein structure classification by using bioinformatics can involve sequence similarity searches, multiple sequence alignment, characterization of domains, involuntary protein fold recognition and constructing three-dimensional models to atomic element. In this paper, a set of protocols to classify protein structure and sequence is presented. Structure classification systems, as applied for example in the SCOP, CATH, and FSSP databases, clarify the relationship between protein folds and function and inform on the evolution of protein domains. Proteins fold into three-D structures, and protein structures are more preserved than protein sequences. Therefore, given a protein structure, it is necessary to search for geometrically comparable proteins through protein structure evaluation. This is mostly done in circumstances where the resemblance at the sequence level is too minimal to be detected by any sequence-based similarity search program. The object of protein structure comparison is to get the largest structural similarity between two structures (Reed, 2011 P 139).


Keywords: protein structure, classification, sequence, dominion, and folds


Edition: Volume 2 Issue 10, October 2013,


Pages: 20 - 22


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Manish Kumar, Kapil Govil, "Protein Structure Comparison and Classifications into Domains", International Journal of Science and Research (IJSR), Volume 2 Issue 10, October 2013, pp. 20-22, https://www.ijsr.net/get_abstract.php?paper_id=28091302

Similar Articles with Keyword 'classification'

Downloads: 0

Review Papers, Computer Science, India, Volume 11 Issue 7, July 2022

Pages: 1263 - 1270

A Comparative Review of Recent Architectures of Convolutional Neural Networks

Kalpana Devi [2] | Aman Kumar Sharma

Share this Article

Downloads: 0

Research Paper, Computer Science, India, Volume 11 Issue 9, September 2022

Pages: 463 - 469

Fraudulent Transactions Detection using Machine Learning

Asher George Jacob

Share this Article
Top