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Data compression is concerned with how information is organized in data. Efficient storage means removal of redundancy from the data being stored in the DNA molecule. Data compression algorithms remove redundancy and are used to understand biologically important molecules. We present a compression algorithm, "DNABIT Compress" for DNA sequences based on a(More)
BACKGROUND Butyrylcholinesterase is an enzyme that may serve as a marker of metabolic syndrome. We (a) measured its level in persons with diabetes mellitus, (b) constructed a family tree of the enzyme using nucleotide sequences downloaded from NCBI. Butyrylcholinesterase was estimated colorimetrically using a commercially available kit (Randox Lab, UK).(More)
  • Allam Apparao, Koona Saradha, Jyothi, G R Sridhar, Kudipudi Srinivas, B Subba Rao +2 others
  • 2015
This chapter presents an extension of the authors' earlier work, where they showed that nucleotide/amino acid sequences related to insulin occurred in the plant kingdom. It was believed that plants did not have, nor did they need insulin, a protein hormone considered to be restricted to the animal kingdom. In the current study, the human insulin sequence(More)
Huge amount of medical databases requires sophisticated techniques for storing, accessing, analysis and efficient use of stored acquaintance, knowledge and information. In early days intelligent methods like neural networks, support vector machines, decision trees, fuzzy sets and expert systems are widely used in the medical fields. In recent years rough(More)
––The pathological functionality of an organism is done by protein-protein interaction. In protein-protein interaction the proteins bind to each other and the binding energy is not uniformly distributed. Much of the binding energy is caused by some critical amino acids comprising of a small fraction of interfaces. An attempt is in this paper to develop(More)
We define a compression distance, based on a normal compressor to show it is an admissible distance. The first theme concerns the statistical significance of compressed file sizes. Only in recent years have scientists begun to appreciate the fact that compression ratios signify a great deal of important statistical information. In applying the approach, we(More)
The rapid increase in experimental data ,along with recent progress in computational methods has brought modern biology a step closer towards solving one of the most challenging problems: prediction of protein function and sequence versus structure similarity. A protein sequence is an important piece of information , it becomes more revealing and valuable(More)
The Deoxyribonucleic acid(DNA) constitutes the physical medium in which all properties of living organisms are encoded. etc) currently collect hundreds of thousands of sequences of nucleotides and amino acids reaching to thousands of gigabytes and are under continuous expansion.Efficient compression may also reveal some biological functions and helps in(More)
  • D Chandravathi, Tmn Vamsi, A M Sowjanya, Allam Apparao, Asst Professor, Research Scholar +1 other
  • 2010
The division of similar objects into groups is known as Clustering. The main objective of this implementation is classification of DNA sequences related to different species and their families using Clustering Algorithm-Leader-sub leader algorithm. Clustering is done with the help of threshold value of scoring matrix. It is another simple and efficient(More)
  • Vamsi Mn, Thalatam, P Venkata Rao, Kvsrp Varma, Nvr Murty, Allam Apparao +1 other
  • 2010
Structural information can provide insight into protein function, and therefore, high-accuracy prediction of protein structure from its sequence is highly desirable. We predicted the secondary structure of query protein sequence using Artificial Neural Network available in Neurosolutions. The structure is described in terms of Alpha Helix (H), Extended(More)