Literature DB >> 26827606

Molecular Dynamics: New Frontier in Personalized Medicine.

P Sneha1, C George Priya Doss2.   

Abstract

The field of drug discovery has witnessed infinite development over the last decade with the demand for discovery of novel efficient lead compounds. Although the development of novel compounds in this field has seen large failure, a breakthrough in this area might be the establishment of personalized medicine. The trend of personalized medicine has shown stupendous growth being a hot topic after the successful completion of Human Genome Project and 1000 genomes pilot project. Genomic variant such as SNPs play a vital role with respect to inter individual's disease susceptibility and drug response. Hence, identification of such genetic variants has to be performed before administration of a drug. This process requires high-end techniques to understand the complexity of the molecules which might bring an insight to understand the compounds at their molecular level. To sustenance this, field of bioinformatics plays a crucial role in revealing the molecular mechanism of the mutation and thereby designing a drug for an individual in fast and affordable manner. High-end computational methods, such as molecular dynamics (MD) simulation has proved to be a constitutive approach to detecting the minor changes associated with an SNP for better understanding of the structural and functional relationship. The parameters used in molecular dynamic simulation elucidate different properties of a macromolecule, such as protein stability and flexibility. MD along with docking analysis can reveal the synergetic effect of an SNP in protein-ligand interaction and provides a foundation for designing a particular drug molecule for an individual. This compelling application of computational power and the advent of other technologies have paved a promising way toward personalized medicine. In this in-depth review, we tried to highlight the different wings of MD toward personalized medicine.
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Drug discovery; Molecular dynamics; Personalized medicine; Single nucleotide polymorphisms

Mesh:

Year:  2015        PMID: 26827606     DOI: 10.1016/bs.apcsb.2015.09.004

Source DB:  PubMed          Journal:  Adv Protein Chem Struct Biol        ISSN: 1876-1623            Impact factor:   3.507


  27 in total

1.  Exploring the use of molecular dynamics in assessing protein variants for phenotypic alterations.

Authors:  Aditi Garg; Debnath Pal
Journal:  Hum Mutat       Date:  2019-07-12       Impact factor: 4.878

2.  Comparative computational assessment of the pathogenicity of mutations in the Aspartoacylase enzyme.

Authors:  C George Priya Doss; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2017-09-06       Impact factor: 3.584

3.  Computational insights of K1444N substitution in GAP-related domain of NF1 gene associated with neurofibromatosis type 1 disease: a molecular modeling and dynamics approach.

Authors:  Ashish Kumar Agrahari; Meghana Muskan; C George Priya Doss; R Siva; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-05-27       Impact factor: 3.584

4.  Molecular dynamics, residue network analysis, and cross-correlation matrix to characterize the deleterious missense mutations in GALE causing galactosemia III.

Authors:  S Udhaya Kumar; Srivarshini Sankar; D Thirumal Kumar; Salma Younes; Nadin Younes; R Siva; C George Priya Doss; Hatem Zayed
Journal:  Cell Biochem Biophys       Date:  2021-02-08       Impact factor: 2.194

5.  A profound computational study to prioritize the disease-causing mutations in PRPS1 gene.

Authors:  Ashish Kumar Agrahari; P Sneha; C George Priya Doss; R Siva; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2017-10-18       Impact factor: 3.584

6.  Computational modelling approaches as a potential platform to understand the molecular genetics association between Parkinson's and Gaucher diseases.

Authors:  D Thirumal Kumar; Hend Ghasan Eldous; Zainab Alaa Mahgoub; C George Priya Doss; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-06       Impact factor: 3.584

7.  Impact of missense mutations in survival motor neuron protein (SMN1) leading to Spinal Muscular Atrophy (SMA): A computational approach.

Authors:  P Sneha; Tanzila U Zenith; Ummay Salma Abu Habib; Judith Evangeline; D Thirumal Kumar; C George Priya Doss; R Siva; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-13       Impact factor: 3.584

8.  Novel functional variants at the GWAS-implicated loci might confer risk to major depressive disorder, bipolar affective disorder and schizophrenia.

Authors:  Leonid O Bryzgalov; Elena E Korbolina; Ilja I Brusentsov; Elena Y Leberfarb; Natalia P Bondar; Tatiana I Merkulova
Journal:  BMC Neurosci       Date:  2018-04-19       Impact factor: 3.288

9.  KEAP1 Cancer Mutants: A Large-Scale Molecular Dynamics Study of Protein Stability.

Authors:  Carter J Wilson; Megan Chang; Mikko Karttunen; Wing-Yiu Choy
Journal:  Int J Mol Sci       Date:  2021-05-20       Impact factor: 5.923

10.  Investigation of nonsynonymous mutations in the spike protein of SARS-CoV-2 and its interaction with the ACE2 receptor by molecular docking and MM/GBSA approach.

Authors:  Reem Y Aljindan; Abeer M Al-Subaie; Ahoud I Al-Ohali; Thirumal Kumar D; George Priya Doss C; Balu Kamaraj
Journal:  Comput Biol Med       Date:  2021-07-16       Impact factor: 4.589

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