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Detecting Protein Communities in Native Cell Extracts by Machine Learning: A Structural Biologist's Perspective
2021
Frontiers in Molecular Biosciences
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
doi:10.3389/fmolb.2021.660542
pmid:33937337
pmcid:PMC8082361
fatcat:4t4sxenhnbdbdfstofs44yaf3u