Discovering anticancer drug target combinations via network-informed signaling-based approach

Our network-based approach discovers optimal protein co-target combinations to counter resistance, selecting co-targets from alternative pathways and their connectors.

Authors

Institutions

Publication Details

Journal
Communications Medicine
Published
2025-10-17
DOI
https://doi.org/10.1038/s43856-025-01150-9
Citations
3
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
2.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discovering anticancer drug target combinations via network-informed signaling-based approach

Bengi Ruken Yavuz, Ruth Nussinov, Hyunbum Jang
3 citations
Communications Medicine
Bioinformatics and Genomic Networks
2.42
article

Discovering anticancer drug target combinations via network-informed signaling-based approach

Bengi Ruken Yavuz, Ruth Nussinov, Hyunbum Jang
article en
3 citations

Abstract

Our network-based approach discovers optimal protein co-target combinations to counter resistance, selecting co-targets from alternative pathways and their connectors.

Communications MedicineVol. 5(1)
Tel Aviv University (IL), Frederick National Laboratory for Cancer Research (US), National Cancer Institute (US)
U.S. Department of Health and Human Services, National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 10%
Bioinformatics and Genomic Networks
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.