CryoDiscovery™: A cryo-EM AI/ML Heterogeneity Analysis for Structural Biology

Abstract

Structural Biology is an emerging area for disease research and drug discovery. This can be the basis for detecting novel biological threats and hence will help prepare the country's readiness. It should be noted that much of the SARS-CoV-2 virus that causes Covid-19 has been analyzed using structural biology [1].

CryoDiscovery™: A cryo-EM AI/ML Heterogeneity Analysis for Structural Biology

“…The 2D and 3D Classification step in the previous section can be used to derive several class averages, each of which can be distinctly used to build 3D models with variations showing the differences in structures that contribute to heterogeneity. Currently, there are several mathematical methods [6] (such as Multivariate Statistical Analysis, Maximum Likelihood Estimation, 3D-Covariance, K-Means Clustering etc.) currently attempted with partial success.…”