Chemical Computing Group
Purvi Gupta is an Applications Scientist at Chemical Computing Group since July 2022 and a Researcher PhD Student at KU Leuven since December 2017, focusing on computational modeling of biomolecular complexes related to protein and drug design. Previously, Purvi served as Project Manager at Information Management Group, IIT Roorkee, leading the development of essential web applications for over 9,000 students, and held roles as a Masters Student and Summer Intern at the Center for Bioinformatics, Saarland University, where molecular modeling of STIM-Orai complexes and computational mutagenesis were key projects. Additional experience includes internships at the Illinois Institute of Technology, University of Queensland, and Edukinect, along with a research role at CSIR-NCL. Purvi holds an Integrated Master of Science (MSc) in Chemistry from the Indian Institute of Technology, Roorkee, completed in 2017.
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Chemical Computing Group
CCG (Chemical Computing Group) is a leading supplier of software solutions for life sciences. With a proven track record in scientific innovation, CCG continues to provide state of the art applications in drug discovery to pharmaceutical, biotechnology and academic researchers. CCG headquarters are in Montreal (Canada), with support offices in North America, Europe and Asia. CCG’s software programs include: 1) Molecular Operating Environment (MOE) - a single package for visualization, molecular modeling, computer-aided molecular design (CAMD), cheminformatics, bioinformatics and methodology development. 2) PSILO® - Protein SILO - a database system that provides an easily accessible, consolidated repository for macromolecular and protein-ligand structural information as well as a means to systematically track, register and search both experimental and computational macromolecular structural data. CCG has a strong academic presence with MOE and PSILO® being used extensively in teaching and research in over 600 universities world wide. CCG's special programs and discounts encourage the adoption of computational life science methodologies by the scientific community.