SBME Research Seminar: The RNA folding problem remains open – Dr. Rhiju Das
The discovery and design of biologically important RNA molecules has lagged behind proteins, in part due to the general difficulty of three-dimensional RNA structural characterization. What are the prospects for an ‘AlphaFold moment’ for RNA? I’ll describe some recent progress in modeling RNA structure from old-fashioned and new machine learning, cryoelectron microscopy, and current and upcoming internet-scale competitions hosted on the Eterna, Kaggle, and CASP platforms.
SBME Research Seminar: The RNA folding problem remains open – Dr. Rhiju Das
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SBME Seminar: Engineering Platforms for Machine Learning Scale Molecular Pharmacology – Dr. Justin English
March 14 @ 11:00 am - 12:00 pm PDT
SBME Seminar: Engineering Platforms for Machine Learning Scale Molecular Pharmacology – Dr. Justin English
Seminar Abstract:
While advances in computational biology and protein folding have accelerated discovery efforts, we currently lack sufficient data to make predictive models for the rational design of pharmaceutical agents. Large scale functional datasets tying protein perturbations, ligand binding, and signaling biology will be essential to achieve these goals. Here I outline systems we have developed and implemented to begin to generate these datasets and fill the functional gaps necessary for predictive models of molecular pharmacology.”
Location:
LSC 1002 (LT2)