SURF

Nader Morshed

Using Machine Learning to Automatically Identify Elemental Ions in X-ray Crystal Structures

Construction of protein structures from X-ray crystallography data is a difficult, time consuming, and error-prone process. With of 90,000 protein structures currently deposited in online data banks, tools to automatically construct, analyze, and fix models is essential for correct scientific analysis. My research is to apply techniques from the machine learning field to identify elementary ions, such as zinc and calcium, in available data. These atoms are often essential to enzyme function, but their identification requires knowledge of esoteric rules, making it great ground for computational automation.

Message to Sponsor

SURF provides me not only with the opportunity to better my own research skills, but also to improve upon a tool that is already in use by the rest of the scientific community! I am very thankful to have its support and look forward to learning about my fellow undergraduates' research.
  • Major: Molecular and Cell Biology, Computer Science (minor)
  • Sponsor: Pergo Fund
  • Mentor: Susan Marqusee, Molecular and Cell Biology