Hotspot Identification System for identification of core residues in Diabetic Proteins

α
Dr. P. V. S. Lakshmi Jagaamba
Dr. P. V. S. Lakshmi Jagaamba
σ
Prof. M.S. Prasadbabu
Prof. M.S. Prasadbabu
ρ
Prof. Allam Apparao
Prof. Allam Apparao
α Jawaharlal Nehru Technological University, Kakinada Jawaharlal Nehru Technological University, Kakinada

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

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. \u201cHotspot Identification System for identification of core residues in Diabetic Proteins\u201d. Unknown Journal GJCST Volume 12 (GJCST Volume 12 Issue 1): .

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v1.2

Issue date

January 15, 2012

Language
en
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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.

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Hotspot Identification System for identification of core residues in Diabetic Proteins

Dr. P. V. S. Lakshmi Jagaamba
Dr. P. V. S. Lakshmi Jagaamba Jawaharlal Nehru Technological University, Kakinada
Prof. M.S. Prasadbabu
Prof. M.S. Prasadbabu
Prof. Allam Apparao
Prof. Allam Apparao

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