Workshop on Topology: Identifying Order in Complex Systems

Protein Folding Characterization via Persistent Homology

We use persistent homology to analyze predictions of protein folding by trying to identify global geometric structures that contribute to the error when the protein is misfolded. The goal is to find correlations between global geometric structures, as measured by persistent homology, and the failure to predict the correct folding. This technique could be useful in guiding the energy minimization techniques to the correct minimum corresponding to the desired folding.

Date & Time

April 07, 2018 | 4:30pm – 5:30pm

Location

Simonyi Hall 101

Speakers

Marcio Gameiro

Affiliation

University of Sao Paolo

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