Výsledky vyhledávání - "Laura Marholz"

Abstract 5333: Combining chemoproteomics with machine learning identifies functionally active covalent fragments for hard-to-drug cancer drivers

Autor: Johannes C. Hermann, Robert Everley, Laura Marholz, Matthew Berberich, Tzu-Yi Yang, Yu-Hsin Chao, Abduselam K. Awol, Michael Shaghafi, Han Yoon, Rohan Varma, Reed Stein, Karsten Krug, Emily Lachtara, Daniel Erlanson, Chris Varma, Kevin R. Webster

Publikováno v: Cancer Research. 83:5333-5333

a) Many cancer drivers are considered “undruggable” and without targeted treatments because they lack binding sites for conventional small molecules. Here, we introduce The FRONTIER™ Platform applying machine learning (ML), chemoproteomics and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b39fa0446c32ed2dff57e0a06f895301
https://doi.org/10.1158/1538-7445.am2023-5333

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání