Prediction of protein corona on nanomaterials by machine learning using novel descriptors

Effective in silico methods to predict protein corona compositions on engineered nanomaterials (ENMs) could help elucidate the biological outcomes of ENMs in biosystems without the need for conducting lengthy experiments for corona characterization. However, the physicochemical properties of ENMs, u...

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Bibliographische Detailangaben
Veröffentlicht in:NanoImpact
Hauptverfasser: Duan, Yaokai, Coreas, Roxana, Liu, Yang, Bitounis, Dimitrios, Zhang, Zhenyuan, Parviz, Dorsa, Strano, Michael, Demokritou, Philip, Zhong, Wenwan
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2020
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7043407/
https://ncbi.nlm.nih.gov/pubmed/32104746
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.impact.2020.100207
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