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Your search keyword '"Mutated protein"' showing total 2 results
Start Over Descriptor "Mutated protein" Journal journal of computer-aided molecular design
2 results on '"Mutated protein"'

1. Computational approaches for predicting mutant protein stability.

Author

Kulshreshtha, Shweta, Chaudhary, Vigi, Goswami, Girish, and Mathur, Nidhi

Subjects
*PROTEINS, *GENETIC mutation, *BIOMOLECULES, *GENETICS, *TECHNOLOGY
Abstract

Mutations in the protein affect not only the structure of protein, but also its function and stability. Prediction of mutant protein stability with accuracy is desired for uncovering the molecular aspects of diseases and design of novel proteins. Many advanced computational approaches have been developed over the years, to predict the stability and function of a mutated protein. These approaches based on structure, sequence features and combined features (both structure and sequence features) provide reasonably accurate estimation of the impact of amino acid substitution on stability and function of protein. Recently, consensus tools have been developed by incorporating many tools together, which provide single window results for comparison purpose. In this review, a useful guide for the selection of tools that can be employed in predicting mutated proteins' stability and disease causing capability is provided. [ABSTRACT FROM AUTHOR]

Published
2016
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2. Computational approaches for predicting mutant protein stability

Author

Vigi Chaudhary, Shweta Kulshreshtha, Girish K. Goswami, and Nidhi Mathur

Subjects
0301 basic medicine, Stability (learning theory), Computational biology, Biology, medicine.disease_cause, 03 medical and health sciences, Mutant protein, Sequence Analysis, Protein, Drug Discovery, medicine, Protein function prediction, Physical and Theoretical Chemistry, Mutated protein, Sequence (medicine), Genetics, Mutation, 030102 biochemistry & molecular biology, Protein Stability, Computational Biology, Amino acid substitution, Computer Science Applications, 030104 developmental biology, Amino Acid Substitution, Mutant Proteins, Function (biology), Algorithms
Abstract

Mutations in the protein affect not only the structure of protein, but also its function and stability. Prediction of mutant protein stability with accuracy is desired for uncovering the molecular aspects of diseases and design of novel proteins. Many advanced computational approaches have been developed over the years, to predict the stability and function of a mutated protein. These approaches based on structure, sequence features and combined features (both structure and sequence features) provide reasonably accurate estimation of the impact of amino acid substitution on stability and function of protein. Recently, consensus tools have been developed by incorporating many tools together, which provide single window results for comparison purpose. In this review, a useful guide for the selection of tools that can be employed in predicting mutated proteins' stability and disease causing capability is provided.

Published
2016

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