Supervised learning model predicts protein adsorption to carbon nanotubes.
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ABSTRACT:
SUBMITTER: Ouassil N
PROVIDER: S-EPMC8741178 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Publications
Supervised learning model predicts protein adsorption to carbon nanotubes.
Ouassil Nicholas N Pinals Rebecca L RL Del Bonis-O'Donnell Jackson Travis JT Wang Jeffrey W JW Landry Markita P MP
Science advances 20220107 1
Engineered nanoparticles are advantageous for biotechnology applications including biomolecular sensing and delivery. However, testing compatibility and function of nanotechnologies in biological systems requires a heuristic approach, where unpredictable protein corona formation prevents their effective implementation. We develop a random forest classifier trained with mass spectrometry data to identify proteins that adsorb to nanoparticles based solely on the protein sequence (78% accuracy, 70% ...[more]
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