National Cancer Informatics Program (NCIP) Hub has been renamed to the NCI Community Hub. Along with a new name and URL (ncihub.org) the NCI Community Hub has a modernized and user-friendly homepage. The old URL will be automatically and permanently redirected starting from the release date, July 7, 2019.

Transitioning to Predictive Analysis for Nanoparticle Biocorona Studies

By Korin Wheeler

Santa Clara University

Download (PDF)

Licensed under

Published on

Abstract

Nano WG April 18, 2019: Proteins adsorbed to nanomaterials in a biological environment mediate cellular recognition, uptake, and toxicity of nanomaterials. Here, Dr. Korin Wheeler presents the development of experimental methods to characterize this population of proteins (also known as the protein corona fingerprint), as well as computational methods to predict the protein population in an array of conditions. To support expanded modeling efforts in this area, I will also comment on best practice in methodology and reporting for studies of this kind. As we begin to meet the grand challenge of predicting the biochemical interactions of nanomaterials, we can further improve targeted nanomedicines and safe-by-design nanomaterials.

Cite this work

Researchers should cite this work as follows:

  • Korin Wheeler (2019), "Transitioning to Predictive Analysis for Nanoparticle Biocorona Studies," https://ncihub.org/resources/2224.

    BibTex | EndNote

Submitter

Mervi Heiskanen

National Cancer Institute

Tags