Computational and Experimental Study for Rational Design of Proteins
Devajit Mahanta1, Prabodh Sarmah2, Gautam Kr. Handique3

1Mr. Devajit Mahanta, Assistant Professor, Department of Computer Science, Nalbari College, (Assam), India.
2Dr. Prabodh Sarmah, Associate Professor, Department of Botany, Nalbari College, (Assam), India.
3Dr. Gautam Kr. Handique, Associate Professor, Department of Botany, Nalbari College, (Assam), India.

Manuscript received on 07 February 2013 | Revised Manuscript received on 21 February 2013 | Manuscript Published on 28 February 2013 | PP: 196-205 | Volume-2 Issue-3, February 2013 | Retrieval Number: C0465022313/2013©BEIESP
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Abstract: Proteins perform a vast array of functions within living organisms, including catalyzing metabolic reactions, replicating DNA, responding to stimuli, and transporting molecules from one location to another. Proteins differ from one another primarily in their sequence of amino acids, which is dictated by the sequence of their genes, and which usually results in folding of the protein into a specific three dimensional structure that determines its activity. Proteins are the most multifaceted macromolecules in living systems and have various important functions, including structural, catalytic, sensory, and regulatory functions. Rational design of enzymes is a great challenge to our understanding of protein structure and physical chemistry and has numerous potential applications. Protein design algorithms have been applied to design or engineer proteins that fold, fold faster, catalyze, catalyze faster, signal, and adopt preferred conformational states. The field of de novo protein design, although only a few decades old, is beginning to produce exciting results. Developments in this field are already having a significant impact on biotechnology and chemical biology. The application of powerful computational methods for functional protein designing has recently succeeded at engineering target activities. Here, we review recently reported de novo functional proteins that were developed using various protein design approaches, including rational design, computational optimization, and selection from combinatorial libraries, highlighting recent advances and successes.
Keywords: Protein, Amino Acids, Computational Optimization.

Scope of the Article: Computational Economics, Digital Photogrammetric