Simanti Bhattacharya

Simanti Bhattacharya is associated with Excelra Knowledge Solutions Pvt. Ltd. in Hyderabad, India in the capacity of Scientific Manager. There she is presently working in the Pharma Analytics Team focusing at computational drug repositioning. She has submitted her Ph.D. in the are of molecular modeling and docking from the University of Kalyani, WB, India. Her area of interest is in Molecular Modeling, Docking and Simulations, Protein Biochemistry, Expression Analysis, Programming and Bioinformatics. Previously she was associated with IISER-Kolkata and completed her M.Sc. in Bioinformatics and Biophysics from the University of Calcutta.

Publications

GWAS as the Detective to Find Genetic Contribution in Diseases
Simanti Bhattacharya, Amit Das. © 2019. 12 pages.
Genome-wide association study (GWAS) is a powerful method to understand the complex association of variant in gene and disease phenotype. With the approach of GWAS, the...
GWAS as the Detective to Find Genetic Contribution in Diseases
Simanti Bhattacharya, Amit Das. © 2018. 11 pages.
Genome Wide Association Study (GWAS) is a powerful method to understand the complex association of variant in gene and disease phenotype. With the approach of GWAS the...
Different Types of Molecular Docking Based on Variations of Interacting Molecules: Variations of Molecular Docking
Amit Das, Simanti Bhattacharya. © 2017. 25 pages.
Molecular docking plays an important role in drug discovery research by facilitating target identification, target validation, virtual screening for lead identification and lead...
Different Types of Molecular Docking Based on Variations of Interacting Molecules: Variations of Molecular Docking
Amit Das, Simanti Bhattacharya. © 2016. 25 pages.
Molecular docking plays an important role in drug discovery research by facilitating target identification, target validation, virtual screening for lead identification and lead...
Cellular Automata-Basics: Applications in Problem Solving
Simanti Bhattacharya, Angshuman Bagchi. © 2016. 18 pages.
Cellular Automata (CAs) are spatially arranged systems, composed of units or cells having distinct information and all are under uniform condition. This system gradually...