A new precision medicine initiative at the dawn of exascale computing

Ruth Nussinov, Hyunbum Jang, Guy Nir, Chung Jung Tsai, Feixiong Cheng

Research output: Contribution to journalArticlepeer-review

Abstract

Which signaling pathway and protein to select to mitigate the patient’s expected drug resistance? The number of possibilities facing the physician is massive, and the drug combination should fit the patient status. Here, we briefly review current approaches and data and map an innovative patient-specific strategy to forecast drug resistance targets that centers on parallel (or redundant) proliferation pathways in specialized cells. It considers the availability of each protein in each pathway in the specific cell, its activating mutations, and the chromatin accessibility of its encoding gene. The construction of the resulting Proliferation Pathway Network Atlas will harness the emerging exascale computing and advanced artificial intelligence (AI) methods for therapeutic development. Merging the resulting set of targets, pathways, and proteins, with current strategies will augment the choice for the attending physicians to thwart resistance.

Original languageEnglish (US)
Article number3
JournalSignal Transduction and Targeted Therapy
Volume6
Issue number1
DOIs
StatePublished - Dec 2021

ASJC Scopus subject areas

  • Genetics
  • Cancer Research

Fingerprint

Dive into the research topics of 'A new precision medicine initiative at the dawn of exascale computing'. Together they form a unique fingerprint.

Cite this