alexa Secondary Structural Analysis of Families of Protein Sequences using Chaos Game Representation | OMICS International | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Secondary Structural Analysis of Families of Protein Sequences using Chaos Game Representation

K. Manikandakumar1*, K. Gokul Raj2, S. Muthukumaran3 and R. Srikumar4

1Department of Physics, Bharathidasan University College, Tamil Nadu, India

2Department of Computer Science, Jamal Mohamed College, Tamil Nadu, India

3Department of Physics, The H.H. Raja’s College, Tamil Nadu, India

4Tamil Nadu State AIDS Control Society (TANSACS), Tamil Nadu, India

*Corresponding Author:
K. Manikandakumar
Department of Physics
Bharathidasan University College
Lalgudi, Tiruchirappalli District
Tamil Nadu, India
E-mail: [email protected]

Received Date: Febraury 28, 2012; Accepted Date: April 20, 2012; Published Date: April 23, 2012

Citation: Manikandakumar K, Raj KG, Muthukumaran S, Srikumar R (2012) Secondary Structural Analysis of Families of Protein Sequences using Chaos Game Representation. J Comput Sci Syst Biol 5: 047-051. doi:10.4172/jcsb.1000089

Copyright: © 2012 Manikandakumar K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


We describe a novel way of applying Chaos Game Representation (CGR) method to protein sequences of different families by considering the amino acids into three secondary structure groups of residues. The present study to identify the patterns of the secondary structure of family of protein sequences for different ratios and to analyze to apply CGR method to protein structures, so as to find out any intrinsic self-similar pattern exhibited in the CGR plot. Further, we find that the sequences of different protein families belonging to all the four major structural classes namely, all α, all β, α plus β and α by β produce a similar kind of self-similar fractal structure. In a broader sense, is there any way to obtain a single graphical representation depicting any intrinsic self-similar pattern exhibited by the different protein families?


Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals


[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version