title: Molecular Dynamics: New Frontier in Personalized Medicine.
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.
authors.affiliation: Medical Biotechnology Division, School of Biosciences and Technology, VIT University, Vellore, Tamil Nadu, India.
authors.forename: P
authors.initials: P
authors.lastname: Sneha
authors.affiliation: Medical Biotechnology Division, School of Biosciences and Technology, VIT University, Vellore, Tamil Nadu, India. Electronic address: georgecp77@yahoo.co.in.
authors.forename: C George Priya
authors.initials: CG
authors.lastname: Doss
mesh_terms: D055808:Drug Discovery / Q000639:trends*; D023281:Genomics; D006801:Humans; D056004:Molecular Dynamics Simulation / Q000639:trends*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D057285:Precision Medicine
keywords: Drug discovery; Molecular dynamics; Personalized medicine; Single nucleotide polymorphisms