Article

A novel translational in-silico indication discovery framework identifies indications and predictive biomarkers for cenerimod

2025-08-20

Abstract excerpt

<title>Abstract</title> <p>To fully explore a drug candidate's therapeutic potential, assessing its effectiveness across all possible diseases is essential. While traditional approaches match drug mechanisms to disease pathophysiology, they are limited by the high costs and slow progress of preclinical and clinical trials. This study introduces a novel in silico framework to identify new indications for drug cand...

Topics

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

Identifiers and source

Literature Corpus work: d240ddfe-2ae1-55e7-babe-2cf047a813b4
DOI: 10.21203/rs.3.rs-6993651/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A novel translational in-silico indication discovery framework identifies indications and predictive biomarkers for cenerimodDOI 10.21203/rs.3.rs-6993651/v1Read

scDrugPrio: A framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseasesSemantic proximity Read

The Use of Different Types of Networks, Alone and in Combination, for Drug Target IdentificationSemantic proximity Read

An integrated multi-omics analysis identifies protein biomarkers and potential drug targets for psoriatic arthritisSemantic proximity Read

Integrating genetic, epigenetic, and clinical signatures via machine learning for robust prediction of leflunomide response in rheumatoid arthritis: a multi-center validation study.Semantic proximity Read

EVA: a Foundation Model Advancing Translational Drug Development in Immuno-InflammationSemantic proximity Read

Mapping drug biology to disease genetics to discover drug impacts on the human phenomeSemantic proximity Read

Prediction of drug targets for specific diseases leveraging gene perturbation data: A machine learning approachSemantic proximity Read

Optimizing Mendelian Randomization for Drug Prediction: Exploring Validity and Research StrategiesSemantic proximity Read

Systems Pharmacology Reveals Type I Interferon and Myeloid-Like B Cell Reprogramming as Druggable Axes in Antiphospholipid SyndromeSemantic proximity Read

Network medicine informed multi-omics integration identifies drug targets and repurposable medicines for Amyotrophic Lateral SclerosisSemantic proximity Read

SenolyticSynergy: An Attention-Based Network for Discovering Novel Senolytic Combinations via Human Aging GenomicsSemantic proximity Read

Systematic drug repositioning for a wide range of diseases with integrative analyses of phenotypic and molecular data.Semantic proximity Read