Boolean network-based identification of optimal drug combinations for prostate cancer.

Saved in:
Bibliographic Details
Title: Boolean network-based identification of optimal drug combinations for prostate cancer.
Authors: Bhattacharjee P; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA. Electronic address: p.bhattacharjee@tamu.edu., Kumar AP; Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA., Datta A; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Source: Computational biology and chemistry [Comput Biol Chem] 2026 Jun; Vol. 122, pp. 108898. Date of Electronic Publication: 2026 Jan 12.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101157394 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-928X (Electronic) Linking ISSN: 14769271 NLM ISO Abbreviation: Comput Biol Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-928X
DOI:10.1016/j.compbiolchem.2026.108898