Design and Development of ChemInfoCloud: An Integrated Cloud Enabled Platform for Virtual Screening

Title:Design and Development of ChemInfoCloud: An Integrated Cloud Enabled Platform for Virtual Screening

Volume: 18 Issue: 6

Author(s): Muthukumarasamy Karthikeyan, Deepak Pandit, Arvind Bhavasar and Renu Vyas

Affiliation:

Keywords: Chemoinformatics, cloud computing, machine learning, molecular docking, OpenVz, sequence alignment, spectra prediction, text mining, virtual screening.

Abstract: The power of cloud computing and distributed computing has been harnessed to handle vast and heterogeneous data required to be processed in any virtual screening protocol. A cloud computing platorm ChemInfoCloud was built and integrated with several chemoinformatics and bioinformatics tools. The robust engine performs the core chemoinformatics tasks of lead generation, lead optimisation and property prediction in a fast and efficient manner. It has also been provided with some of the bioinformatics functionalities including sequence alignment, active site pose prediction and protein ligand docking. Text mining, NMR chemical shift (1H, 13C) prediction and reaction fingerprint generation modules for efficient lead discovery are also implemented in this platform. We have developed an integrated problem solving cloud environment for virtual screening studies that also provides workflow management, better usability and interaction with end users using container based virtualization, OpenVz.

Cite this article as:

Karthikeyan Muthukumarasamy, Pandit Deepak, Bhavasar Arvind and Vyas Renu, Design and Development of ChemInfoCloud: An Integrated Cloud Enabled Platform for Virtual Screening, Combinatorial Chemistry & High Throughput Screening 2015; 18 (6) . https://dx.doi.org/10.2174/1386207318666150703113656