IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Graphical Workflow Modeler for Docking Process in Drug Discovery

A Graphical Workflow Modeler for Docking Process in Drug Discovery
View Sample PDF
Author(s): Qiang Wang (Harbin Institute of Technology, China), Yunming Ye (Harbin Institute of Technology, China), Kunqian Yu (Chinese Academy of Science (CAS), China)and Joshua Z. Huang (University of Hong Kong, China)
Copyright: 2012
Pages: 15
Source title: Grid and Cloud Computing: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-0879-5.ch607

Purchase

View A Graphical Workflow Modeler for Docking Process in Drug Discovery on the publisher's website for pricing and purchasing information.

Abstract

A drug discovery process is aimed to find from a large set of molecules the candidate leads that have strong interaction with the target proteins. The process of drug discovery is characterized by its complexity in data and computation. A useful tool to simplify the handling of intensive data and complex algorithms is necessary for domain scientists to build proper drug discovery procedures, carry through the data intensive computation tasks and produce fruitful results. This chapter presents a graphical workflow modeler for domain scientists to perform drug discovery tasks on high performance grid computing grid platforms. A client/server system is described as the platform for implementation of the graphical workflow modeler. A case study on drug discovery for avian influenza virus is given to demonstrate the use of this tool in drug discovery research.

Related Content

Radhika Kavuri, Satya kiranmai Tadepalli. © 2024. 19 pages.
Ramu Kuchipudi, Ramesh Babu Palamakula, T. Satyanarayana Murthy. © 2024. 10 pages.
Nidhi Niraj Worah, Megharani Patil. © 2024. 21 pages.
Vishal Goar, Nagendra Singh Yadav. © 2024. 23 pages.
S. Boopathi. © 2024. 24 pages.
Sai Samin Varma Pusapati. © 2024. 25 pages.
Swapna Mudrakola, Krishna Keerthi Chennam, Shitharth Selvarajan. © 2024. 11 pages.
Body Bottom