Article

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery

2021-09-15

Abstract excerpt

Network-based approaches are becoming increasingly popular for drug discovery as they provide a systems-level overview of the mechanisms underlying disease pathophysiology. They have demonstrated significant early promise over other methods of biological data representation, such as in target discovery, side effect prediction and drug repurposing. In parallel, an explosion of -omics data for the deep characterizat...

Topics

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

Identifiers and source

Literature Corpus work: f9bb1cd3-75d4-52c4-87ce-e26046669b09
DOI: 10.1101/2021.09.12.459579

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discoveryDOI 10.1101/2021.09.12.459579Read

Drug2ways: Reasoning over causal paths in biological networks for drug discovery.Semantic proximity Read

CAREPath: Semantic Context-Aware Reasoning Paths with Mechanism-Augmented Embeddings for Drug RepurposingSemantic proximity Read

Graphical Learning and Causal Inference for Drug RepurposingSemantic proximity Read

A Scalable Sign-Aware Multi-Omics Knowledge Graph Foundation Model for Mechanistic Drug Action and Clinical Response PredictionsSemantic proximity Read

Building a knowledge graph to enable precision medicineSemantic proximity Read

Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.Semantic proximity Read

A Case-Based Explainable Graph Neural Network Framework for Mechanistic Drug RepositioningSemantic proximity Read

Regulation Flow Analysis discovers molecular mechanisms of action from large knowledge databasesSemantic proximity Read

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare DiseasesSemantic proximity Read

Deep Learning Can Identify Explainable Reasoning Paths of Mechanism of Drug Action for Drug Repurposing from Multilayer Biological NetworkSemantic proximity Read

Combinatorial prediction of therapeutic perturbations using causally inspired neural networks.Semantic proximity Read

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networksSemantic proximity Read