Quantitative self-assembly prediction yields targeted nanomedicines
Year: 2018
Type: article
Source: Nature Materials
Authors: Yosi Shamay, Janki Shah, Mehtap Işık, Aviram Mizrachi, Josef Leibold, Darjus F. Tschaharganeh, Daniel Roxbury, Januka Budhathoki-Uprety, Karla Nawaly, James L. Sugarman, Emily Baut, Michelle R. Neiman, Megan Dacek, Kripa S. Ganesh, Darren C. Johnson, Ramya Sridharan, Eren L. Chu, Vinagolu K. Rajasekhar, Scott W. Lowe, John D. Chodera, Daniel A. Heller
Institutions: Memorial Sloan Kettering Cancer Center, Technion – Israel Institute of Technology, Tri-Institutional PhD Program in Chemical Biology, Tel Aviv University, Rabin Medical Center, German Cancer Research Center, University Hospital Heidelberg, University of Rhode Island, Cornell University, Weill Cornell Medicine
Language: English
Subfield: Biomaterials
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2791618607