Elijah Gonzalez

Rice University

Poster Session Link:

https://gather.town/invite?token=0pEoq7VP

ABSTRACT

A protein’s biological function is chiefly dependent upon its three-dimensional structure. Concerning structure determination, X-ray crystallography is an invaluable technique that can be used to reconstruct a protein’s electron density by transforming diffraction data of crystallized proteins. This transformation requires an amplitude and phase for each reflection spot. Due to physical restraints, phase information is systematically lost during measurements, and the so-called phase problem must be solved. Existing computational methods and further experimentation can recover these lost phases, though such procedures require prior known structural information or may not otherwise be biologically feasible. By contrast, the hybrid input-output (HIO) algorithm can solve missing phases directly from the intensities measured from diffraction data–that is, ab initio. Our work aims to investigate the relationships between successful convergences in the HIO algorithm and the associated problem parameters. Ultimately, we aim to apply the HIO algorithm to resolve the three-dimensional structures of novel proteins on a broader scale of interest

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Email: ecg5@rice.edu