
Chandrasekaran lab
@sriram_lab
Systems biology lab @UMBME. Our lab develops computer models for drug discovery and understanding cellular metabolism.
ID: 1121506434355802112
http://sriramlab.org 25-04-2019 20:09:05
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300 Followers
200 Following





How do we reintegrate biology? We brainstormed at the 2019 NSF workshop in San Diego and we propose a new way to study biological systems. @UBDVTLab Nicole Danos Yinphan Tsang doi.org/10.1093/icb/ic…




Big thanks to the Camille and Henry Dreyfus Foundation for the Machine Learning in Chemical Sciences Award! The Camille and Henry Dreyfus Foundation dreyfus.org/dreyfus-progra…

Happy to share our latest algorithm - CAROM, developed by Kirk Smith. CAROM predicts targets of regulation by phosphorylation and acetylation using #cobra #machinelearning #metabolism iScience journal cell.com/iscience/fullt…



Today was my last day as a postdoc in Chandrasekaran lab U-M BME! I've met the most incredible people here & Sriram is the best mentor I've worked with truly. So grateful for this transformative journey 🙏🏼 University of Michigan is an amazing place for research & personal growth! Forever #GoBlue


Congrats to superstar PhD student @caro_chung for winning the 2022 Robert Beyster Fellowship for Computational Innovation from Michigan Engineering. The fellowship is given to 4 PhD students across campus working on cutting edge computational approaches.

Excited to share our latest study published in PNAS Nexus today! Led by @caro_chung we explore how metabolic heterogeneity in a population of cells impacts drug interactions using our new algorithm CARAMEL. academic.oup.com/pnasnexus/adva…





.BMES-UMich biomedical engineering prof Sriram Chandrasekaran & Chandrasekaran lab study how AI can help predict whether a patient will respond to specific tuberculosis treatments, paving the way for personalized care via The Conversation U.S.. theconversation.com/ai-can-help-pr…