C. Karan

Multiwell-based G0-PCC assay for radiation biodosimetry

This paper develops a faster radiation biodosimetry method using G0-PCC with RABiT-II, enabling same-day testing for radiation emergencies.

Discovering venom-derived drug candidates using differential gene expression

This study introduces VenomSeq, a platform that uses transcriptomics and differential gene expression to link venoms to drugs and diseases, generating new therapeutic hypotheses.

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

The paper identifies a metabolic vulnerability in specific glioma cell states that can be targeted with GPX4 inhibitors to induce ferroptosis.

Systematic Elucidation and Pharmacological Targeting of Tumor-Infiltrating Regulatory T Cell Master Regulators

The paper identifies 17 master regulators of tumor-infiltrating regulatory T cells (TI-Tregs) and shows that targeting TRPS1 reduces tumor growth and enhances PD-1 inhibitor efficacy.

OncoLoop: A network-based precision cancer medicine framework

OncoLoop predicts and validates drug sensitivity in tumors and their models by leveraging perturbational profiles of oncology drugs, showing success in prostate cancer models and patient cohorts.

Network-based identification and pharmacological targeting of host cell master regulators induced by SARS-CoV-2 infection

This study identifies host cell master regulators affected by SARS-CoV-2 and develops a method to find drugs that reverse their inactivation without harming beneficial immune responses.

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

The paper hosts a DREAM Challenge to evaluate computational models for predicting drug polypharmacology using perturbational profile data from 32 kinase inhibitors.

The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies

The paper shows that drug combination transcriptional responses are not simply additive and develops a prediction algorithm with 0.84 AUROC for synergistic combinations.

Unbiased Assessment of H-STS cells as high-fidelity models for gastro-enteropancreatic neuroendocrine tumor drug mechanism of action analysis

The paper assesses H-STS cells as models for drug mechanism analysis in gastro-enteropancreatic neuroendocrine tumors using molecular criteria rather than histological features.