Detecting Protein Communities in Native Cell Extracts by Machine Learning: A Structural Biologist's Perspective.

ABSTRACT: Native cell extracts hold great promise for understanding the molecular structure of ordered biological systems at high resolution. This is because higher-order biomolecular interactions, dubbed as protein communities, may be retained in their (near-)native state, in contrast to extensively purifying or artificially overexpressing the proteins of interest. The distinct machine-learning approaches are applied to discover protein-protein interactions within cell extracts, reconstruct dedicated biological networks, and report on protein community members from various organisms. Their validation is also important, e.g., by the cross-linking mass spectrometry or cell biology methods. In addition, the cell extracts are amenable to structural analysis by cryo-electron microscopy (cryo-EM), but du

SUBMITTER: Kyrilis FL 

PROVIDER: S-EPMC8082361 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature