Computational SNP Analysis: Current Approaches and Future Prospects

Ambuj Kumar, Vidya Rajendran, Rao Sethumadhavan, Priyank Shukla, Shalinee Tiwari, Rituraj Purohit

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

The computational approaches in determining disease-associated Non-synonymous single nucleotide polymorphisms (nsSNPs) have evolved very rapidly. Large number of deleterious and disease-associated nsSNP detection tools have been developed in last decade showing high prediction reliability. Despite of all these highly efficient tools, we still lack the accuracy level in determining the genotype-phenotype association of predicted nsSNPs. Furthermore, there are enormous questions that are yet to be computationally compiled before we might talk about the prediction accuracy. Earlier we have incorporated molecular dynamics simulation approaches to foster the accuracy level of computational nsSNP analysis road map, which further helped us to determine the changes in the protein phenotype associated with the computationally predicted disease-associated mutation. Here we have discussed on the present scenario of computational nsSNP characterization technique and some of the questions that are crucial for the proper understanding of pathogenicity level for any disease associated mutations.
LanguageEnglish
Pages233-239
JournalCell Biochemistry and Biophysics
Volume68
Issue number2
Early online date13 Jul 2013
DOIs
Publication statusE-pub ahead of print - 13 Jul 2013

Fingerprint

Single Nucleotide Polymorphism
Polymorphism
Nucleotides
Mutation
Genetic Association Studies
Molecular Dynamics Simulation
Virulence
Molecular dynamics
Association reactions
Phenotype
Computer simulation
Proteins

Keywords

  • nsSNPs
  • Onco-allele
  • Oncogene
  • Molecular dynamics simulation

Cite this

Kumar, Ambuj ; Rajendran, Vidya ; Sethumadhavan, Rao ; Shukla, Priyank ; Tiwari, Shalinee ; Purohit, Rituraj. / Computational SNP Analysis: Current Approaches and Future Prospects. In: Cell Biochemistry and Biophysics. 2013 ; Vol. 68, No. 2. pp. 233-239.
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Kumar, A, Rajendran, V, Sethumadhavan, R, Shukla, P, Tiwari, S & Purohit, R 2013, 'Computational SNP Analysis: Current Approaches and Future Prospects', Cell Biochemistry and Biophysics, vol. 68, no. 2, pp. 233-239. https://doi.org/10.1007/s12013-013-9705-6

Computational SNP Analysis: Current Approaches and Future Prospects. / Kumar, Ambuj; Rajendran, Vidya; Sethumadhavan, Rao; Shukla, Priyank; Tiwari, Shalinee; Purohit, Rituraj.

In: Cell Biochemistry and Biophysics, Vol. 68, No. 2, 13.07.2013, p. 233-239.

Research output: Contribution to journalArticle

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