Hotspot Identification System for identification of core residues in Diabetic Proteins

Dr. P. V. S. Lakshmi Jagaamba

Hotspot Identification System for identification of core residues in Diabetic Proteins

Dr. P. V. S. Lakshmi Jagaamba * §

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Jawarlal Nehru Technological University- Kakinada

Hotspot Identification System for identification of core residues in Diabetic Proteins

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Abstract

Data on genome structural and functional features for various organisms are being accumulated and analyzed in laboratories all over the world. The data are stored and analyzed on a large variety of expert systems. The public access to most of these data offers to scientists around the world an unprecedented chance to data mine and explores in depth this extraordinary information repository, trying to convert data into knowledge. The DNA and RNA molecules are symbolic sequences of amino acids in the corresponding proteins has definite advantages in what concerns storage, search, and retrieval of genomic information. In this study an attempt is made to develop an algorithm for aligning multiple DNA / protein sequences. In this process hotspots are located in a protein sequence using the multiple sequence alignment.

References

7 Cites in Article

Reference Format

Chao-Yie Yang,Shaomeng Wang (2010). Computational Analysis of Protein Hotspots.
P Hajduk (2005). Druggability induces for protein targets derived from NMR-based Screening Data.
C Dobson (2000). The nature and significance of protein folding.
Hintze Miller,B (1988). Expert System An Introduction.
Robert Engelmopre,Edward Feigenbaum (1993). Expert Sstems and Artificial Intelligence.
Mohamed,Radhouene Aniba,Julie Thompson (2010). Knowledge Based Expert Systems in Bioinformatics.
D Roos (2001). Computational biology. Bioinformaticstrying to swim in a seaof data.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. P. V. S. Lakshmi Jagaamba. 1970. "Hotspot Identification System for identification of core residues in Diabetic Proteins". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 1).

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GJCST Volume 12 Issue 1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

DNA Multiple Sequence alignment Protein sequence RNA Symbolic sequences

Classification

GJCST Classification Optional

DDC/LCC/UDC/Global Journals/NLMC/FOR/MSC Classifications Accepted

Submission ReceivedApril 12, 2012
Peer Review Double Blind
Handling Editor
Accepted May 1, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

January 15, 2012

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. P. V. S. Lakshmi Jagaamba, Prof. M.S. Prasadbabu, Prof. Allam Apparao (PhD/Dr. count: 1)

View Count (all-time): 396

Total Views (Real + Logic): 3996

Total Downloads (simulated): 258

Publish Date: 2012 05, Tue

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Total Views: 4K

Total Downloads: 258

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