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Turbo Analytics: Applications of Big Data and HPC in Drug Discovery

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Structural Bioinformatics: Applications in Preclinical Drug Discovery Process

Part of the book series: Challenges and Advances in Computational Chemistry and Physics ((COCH,volume 27))

Abstract

In this current age of data-driven science, perceptive research is being carried out in the areas of genomics, network and metabolic biology, human, animal, organ and tissue models of drug toxicity, witnessing or capturing key biological events or interactions for drug discovery. Drug designing and repurposing involves understanding of ligand orientations for proper binding to the target molecules. The crucial requirement of finding right pose of small molecule in ligand–protein complex is done using drug docking and simulation methods. The domains of biology like genomics, biomolecular structure dynamics, and drug discovery are capable of generating vast molecular data in range of terabytes to petabytes. The analysis and visualization of this data pose a great challenge to the researchers and needs to be addressed in an accelerated and efficient way. So there is continuous need to have advanced analytics platform and algorithms which can perform analysis of this data in a faster way. Big data technologies may help to provide solutions for these problems of molecular docking and simulations.

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Abbreviations

PCA:

Principal component analysis

RMSD:

Root-mean-square deviation

RMSF:

Root-mean-square fluctuation

MR:

MapReduce

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Authors and Affiliations

  1. High Performance Computing-Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Savitribai Phule Pune University Campus, Pune, 411007, India

    Rajendra R. Joshi, Uddhavesh Sonavane, Vinod Jani, Amit Saxena, Shruti Koulgi, Mallikarjunachari Uppuladinne, Neeru Sharma, Sandeep Malviya, E. P. Ramakrishnan, Vivek Gavane, Avinash Bayaskar, Rashmi Mahajan & Sudhir Pandey

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  1. Rajendra R. Joshi
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  2. Uddhavesh Sonavane
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Correspondence to Rajendra R. Joshi .

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  1. Amrita Centre for Nanosciences and Molecular Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, India

    C. Gopi Mohan

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Joshi, R.R. et al. (2019). Turbo Analytics: Applications of Big Data and HPC in Drug Discovery. In: Mohan, C. (eds) Structural Bioinformatics: Applications in Preclinical Drug Discovery Process. Challenges and Advances in Computational Chemistry and Physics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-030-05282-9_11

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