Article

Perturbation biology links temporal protein changes to drug responses in a melanoma cell line

2019-03-06

Abstract excerpt

Data-driven mathematical modeling of biological systems has enormous potential to understand and predict the interplay between molecular and phenotypic response to perturbation, and provides a rational approach to the nomination of therapies in complex diseases such as cancer. Melanoma is a particularly debilitating disease for which most therapies eventually fail as resistance to chemotherapy and targeted drugs d...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c9b42829-a570-5eca-8728-c20e615b58d3
DOI: 10.1101/568758

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Perturbation biology links temporal protein changes to drug responses in a melanoma cell lineDOI 10.1101/568758Read

Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancersSemantic proximity Read

Large-scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell LinesSemantic proximity Read

Overcoming Resistance to BRAF <sup>V600E</sup> Inhibition in Melanoma by Deciphering and Targeting Personalized Protein Network AlterationsSemantic proximity Read

Integration of transcriptomics data into agent-based models of solid tumor metastasisSemantic proximity Read

Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapiesSemantic proximity Read

Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance.Semantic proximity Read

Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies.Semantic proximity Read

Dissecting cancer resistance to therapies with cell-type-specific dynamic logic modelsSemantic proximity Read

Data-driven learning how oncogenic gene expression locally alters heterocellular networksSemantic proximity Read

Identifying Ferroptosis Inducers, HDAC, and RTK Inhibitor Sensitivity in Melanoma Subtypes through Unbiased Drug Target PredictionSemantic proximity Read

Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell lineSemantic proximity Read

Tumor cell sensitivity to vemurafenib can be predicted from protein expression in a BRAF-V600E basket trial setting.Semantic proximity Read