Version 1
: Received: 8 December 2019 / Approved: 10 December 2019 / Online: 10 December 2019 (07:56:43 CET)
How to cite:
Asiedu, E. In-Silico Methods for Investigating the Effect of Single Nucleotide Polymorphisms on the Structure and Function of Proteins: A Review. Preprints2019, 2019120131. https://doi.org/10.20944/preprints201912.0131.v1
Asiedu, E. In-Silico Methods for Investigating the Effect of Single Nucleotide Polymorphisms on the Structure and Function of Proteins: A Review. Preprints 2019, 2019120131. https://doi.org/10.20944/preprints201912.0131.v1
Asiedu, E. In-Silico Methods for Investigating the Effect of Single Nucleotide Polymorphisms on the Structure and Function of Proteins: A Review. Preprints2019, 2019120131. https://doi.org/10.20944/preprints201912.0131.v1
APA Style
Asiedu, E. (2019). In-Silico Methods for Investigating the Effect of Single Nucleotide Polymorphisms on the Structure and Function of Proteins: A Review. Preprints. https://doi.org/10.20944/preprints201912.0131.v1
Chicago/Turabian Style
Asiedu, E. 2019 "In-Silico Methods for Investigating the Effect of Single Nucleotide Polymorphisms on the Structure and Function of Proteins: A Review" Preprints. https://doi.org/10.20944/preprints201912.0131.v1
Abstract
Single nucleotide polymorphisms (SNP) are associated with diseases and drug response variabilities in humans. Elucidating the damaging and disease-associated SNPs using wet-laboratory approaches can be challenging and resource-demanding due to the large number of SNPs in the human genome. Due to the growth in the field of computational biology and bioinformatics, algorithms have been developed to help screen and filter out the most deleterious SNPs that are worth considering for wet-laboratory studies. Here we review the existing in-silico based methods used to predict and characterize the effects of SNPs on protein structure and function. This cutting-edge approach will facilitate the search for novel therapeutics, help understand the etiology of diseases and fast-track the personalized medicine agenda.
Keywords
single nucleotide polymorphism; docking; molecular dynamics; in-silico studies; protein dynamics; missense; prediction algorithm; mutation
Subject
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
