Back to search

Article

The integration of network biology and pharmacophore modeling suggests repurposing Clindamycin as an inhibitor of pyroptosis via Caspase-1 blockage in tumor-associated macrophages

2024-01-22

Abstract excerpt

<h4>Background</h4> Uveal melanoma (UM) is a highly malignant intraocular tumor with a poor prognosis and response to therapy, including immune checkpoint inhibitors (ICIs), after the onset of liver metastasis. The metastatic microenvironment contains high levels of tumor-associated macrophages (TAMs) that correlate positively with a worse patient prognosis. We hypothesized that one could increase the efficacy of...

Topics

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

Identifiers and source

Literature Corpus work
db50acdb-3c91-5cea-a6bb-7d08e12da800
DOI
10.1101/2024.01.18.576201
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The integration of network biology and pharmacophore modeling suggests repurposing Clindamycin as an inhibitor of pyroptosis via Caspase-1 blockage in tumor-associated macrophagesDOI 10.1101/2024.01.18.576201
Analysis of Ferroptosis-Mediated Modification Patterns and Tumor Immune Microenvironment Characterization in Uveal MelanomaSemantic proximity
A Novel Pyroptotic and Inflammatory Gene Signature Predicts the Prognosis of Cutaneous Melanoma and the Effect of Anticancer TherapiesSemantic proximity
Integrative Multi-Omics Analysis of Melanoma: Uncovering Pathways Associated with Immunotherapy OutcomesSemantic proximity
A computational network approach to identify predictive biomarkers and therapeutic combinations for anti-PD-1 immunotherapy in cancerSemantic proximity
Active repurposing of drug candidates for melanoma based on GWAS, PheWAS and a wide range of omics dataSemantic proximity
Multiomics analysis reveals a Type III driven immune response in immunotherapy-induced toxicity in melanoma and identifies potential new therapeutic targetsSemantic proximity
Exploring Medicinal Mechanism of Baicalin in Tumor Microenvironment of Melanoma via Bioinformatic and In Vitro StudySemantic proximity
Systematic review and network meta-analysis of drug combinations suggested by machine learning on genes and proteins, with the aim of improving the effectiveness of Ipilimumab in treating MelanomaSemantic proximity
Identifying Ferroptosis Inducers, HDAC, and RTK Inhibitor Sensitivity in Melanoma Subtypes through Unbiased Drug Target PredictionSemantic proximity
Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncologySemantic proximity
Network Pharmacology-Based Prediction of Anticancer Targets of Mebendazole: Integrating Molecular Targets, Signaling Pathways, and Clinical EvidenceSemantic proximity
Network modelling reveals the mechanism underlying colitis-associated colon cancer and identifies novel combinatorial anti-cancer targets.Semantic proximity
Select a neighboring publication to make it the new centre.