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Chopra Lab
Home
Vision Statement
Research
Research Areas
Publications
Patents
Funding
Team
Gaurav Chopra
Current Members
Lab Alumni
Group Photos
Resources
Software
Processors
Web Servers
Lab Calendar
Lab Wiki
Instruments
Useful Links
News & Outreach
Outreach
Education
Industry Collaborations
Media Featured Research
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Join Us!
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Home
Vision Statement
Research
Research Areas
Publications
Patents
Funding
Team
Gaurav Chopra
Current Members
Lab Alumni
Group Photos
Resources
Software
Processors
Web Servers
Lab Calendar
Lab Wiki
Instruments
Useful Links
News & Outreach
Outreach
Education
Industry Collaborations
Media Featured Research
Trainee Awards
Join Us!
Contact
Media Featured Research
Neuron-Glia Crosstalk Underlies Senescence, Impaired Lipid Metabolism
Alzforum 07 Jun 2024
ELOVL Hurts—Enzyme Makes Lipids That Turn Astrocytes Toxic
Alzforu 07 Oct 2021
Researchers aim to speed drug discovery with human-understandable ML models - Drug Discovery and Development
Researchers at Purdue University have devised chemical reactivity flowcharts and machine learning models that could speed drug discovery.
Map showing gene interactions could lead to new cancer therapies
Nearly 150,000 cancer-related deaths can be attributed annually to Epstein-Barr (EBV) virus, in part because of the lack of effective treatment options.
Platform Developed To Help Find Treatments for Mental Health Illnesses
Scientists have created a drug discovery platform focused on finding new medication options for people dealing with mental illnesses.
This 'lemon' could help machine learning create better drugs
One of the challenges in using machine learning for drug development is to create a process for the computer to extract needed information from a pool of data points. Drug scientists must pull biological data and train the software to understand how a typical human body will interact with the combinations that come together to form a medication.
Water, water everywhere: Polarization dramatically affects H2O structure revealed through molecular dynamics simulation
(PhysOrg.com) -- Water is essential to more than its myriad roles in biological, chemical, geological, and other physical processes. Having a precise description of water’s structure is critical to constructing accurate simulations of molecular events, including protein folding, substrate binding, macromolecular recognition, and complex formation. An important step forward in creating such a description has been demonstrated at Stanford University School of Medicine, where researchers discovered that polarization increases ordered water structure. Their findings will have a significant impact on biological processes.
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