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Molecular Modeling Collaborative

The Molecular Modeling Collaborative Group promotes interdisciplinary research in computational molecular science at UConn. Members apply a broad range of approaches—including quantum chemistry and QM/MM methods, molecular dynamics simulations, enhanced sampling techniques, multiscale and coarse-grained modeling, molecular docking, machine-learning approaches, and computational materials modeling—to investigate molecular structure, dynamics, and reactivity.

By connecting researchers across departments, MMCG fosters collaborations between computational and experimental groups, supports training and mentorship in molecular modeling methods, and provides a forum for sharing expertise, resources, and best practices.

Upcoming Events

News

  • Quantifying and Engineering Electric Fields

    New Publication from Gascon Lab: We are excited to announce our latest publication, “Quantifying and Engineering Electric Fields in Liver Alcohol Dehydrogenase,” now available in press. In this work, we use QM/MM simulations to investigate how active-site mutations and metal substitutions modulate the electric field inside the enzyme liver alcohol dehydrogenase (LADH). By directly computing…

  • Photoactivation Mechanism of the Orange Carotenoid Protein

    New research from the Gascon Lab, in collaboration with Warren Beck (Michigan State University), has been accepted for publication in The Journal of Physical Chemistry B. This work investigates the molecular mechanism of photoactivation in the orange carotenoid protein using a combination of spectroscopy and molecular simulations. The results suggest that ultrafast, excited-state conformational motions…