analysis of this mutation using SIFT, PhD-SNP SVM profile, MutPred, PolyPhen2, and SNPs&GO prediction tools. To gain, new mechanistic insight into the structural effect, we mapped the mutation on to 3D structure (PDB ID 1LM8). Further, we analyzed the structural level changes in time scale level with respect to native and mutant protein complexes by using 12 ns molecular dynamics simulation method. Though these methods predict the mutation to have a pathogenic potential, it remains to be seen if these patients will eventually develop symptomatic disease
Motivation: Advances in high-throughput genotyping and next generation sequencing have generated a v...
BACKGROUND: Linking structural effects of mutations to functional outcomes is a major issue in struc...
Genome-scale analyses of disease-associated mutations and SNP (Single Nucleotide Polymorphism) have ...
Next-generation sequencing methods have not only allowed an understanding of genome sequence variati...
In order to understand the protein functions that are related to disease, it is important to detect ...
Computational prediction of cancer associated SNPs from the large pool of SNP dataset is now being u...
<div><p>Computational prediction of cancer associated SNPs from the large pool of SNP dataset is now...
Predicting how a point mutation alters a protein’s stability can guide pharmaceutical drug design in...
The Single Amino Acid Polymorphism database (SAAPdb) is a new resource for the analysis and visualiz...
Despite interest in associating polymorphisms with clinical or experimental phenotypes, functional i...
Understanding and linking at the molecular level a disease phenotype to a specific genotype often re...
AbstractOne of the long-standing challenges in biology is to understand how non-synonymous single nu...
Prion diseases in humans are grouped based on whether they are sporadic, inherited, or acquired. In ...
AbstractSingle amino acid substitutions in Fibroblast Growth Factor Receptor 1 (FGFR1) destabilize p...
One of the long-standing challenges in biology is to understand how non-synonymous single nucleotide...
Motivation: Advances in high-throughput genotyping and next generation sequencing have generated a v...
BACKGROUND: Linking structural effects of mutations to functional outcomes is a major issue in struc...
Genome-scale analyses of disease-associated mutations and SNP (Single Nucleotide Polymorphism) have ...
Next-generation sequencing methods have not only allowed an understanding of genome sequence variati...
In order to understand the protein functions that are related to disease, it is important to detect ...
Computational prediction of cancer associated SNPs from the large pool of SNP dataset is now being u...
<div><p>Computational prediction of cancer associated SNPs from the large pool of SNP dataset is now...
Predicting how a point mutation alters a protein’s stability can guide pharmaceutical drug design in...
The Single Amino Acid Polymorphism database (SAAPdb) is a new resource for the analysis and visualiz...
Despite interest in associating polymorphisms with clinical or experimental phenotypes, functional i...
Understanding and linking at the molecular level a disease phenotype to a specific genotype often re...
AbstractOne of the long-standing challenges in biology is to understand how non-synonymous single nu...
Prion diseases in humans are grouped based on whether they are sporadic, inherited, or acquired. In ...
AbstractSingle amino acid substitutions in Fibroblast Growth Factor Receptor 1 (FGFR1) destabilize p...
One of the long-standing challenges in biology is to understand how non-synonymous single nucleotide...
Motivation: Advances in high-throughput genotyping and next generation sequencing have generated a v...
BACKGROUND: Linking structural effects of mutations to functional outcomes is a major issue in struc...
Genome-scale analyses of disease-associated mutations and SNP (Single Nucleotide Polymorphism) have ...