The next-generation Open Targets Platform: reimagined, redesigned, rebuilt
Abstract The Open Targets Platform (https://platform. opentargets. org/) is an open source
resource to systematically assist drug target identification and prioritisation using publicly …
resource to systematically assist drug target identification and prioritisation using publicly …
Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer
Resistance to EGFR inhibitors (EGFRi) presents a major obstacle in treating non-small cell
lung cancer (NSCLC). One of the most exciting new ways to find potential resistance …
lung cancer (NSCLC). One of the most exciting new ways to find potential resistance …
Democratizing knowledge representation with BioCypher
Biomedical data are amassed at an ever-increasing rate, and machine learning tools that
use prior knowledge in combination with biomedical big data are gaining much traction 1, 2 …
use prior knowledge in combination with biomedical big data are gaining much traction 1, 2 …
Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque
Biomedical data is accumulating at a fast pace and integrating it into a unified framework is a
major challenge, so that multiple views of a given biological event can be considered …
major challenge, so that multiple views of a given biological event can be considered …
Knowledge graphs for the life sciences: Recent developments, challenges and opportunities
J Chen, H Dong, J Hastings, E Jiménez-Ruiz… - ar** review within this issue. By bridging knowledge gaps and …
EMBL's European bioinformatics Institute (EMBL-EBI) in 2022
Abstract The European Molecular Biology Laboratory's European Bioinformatics Institute
(EMBL-EBI) is one of the world's leading sources of public biomolecular data. Based at the …
(EMBL-EBI) is one of the world's leading sources of public biomolecular data. Based at the …
Text-to-text extraction and verbalization of biomedical event graphs
Biomedical events represent complex, graphical, and semantically rich interactions
expressed in the scientific literature. Almost all contributions in the event realm orbit around …
expressed in the scientific literature. Almost all contributions in the event realm orbit around …
Moomin: Deep molecular omics network for anti-cancer drug combination therapy
We propose the molecular omics network (MOOMIN) a multimodal graph neural network
used by AstraZeneca oncologists to predict the synergy of drug combinations for cancer …
used by AstraZeneca oncologists to predict the synergy of drug combinations for cancer …
Integrating knowledge graphs into machine learning models for survival prediction and biomarker discovery in patients with non–small-cell lung cancer
Accurate survival prediction for Non-Small Cell Lung Cancer (NSCLC) patients remains a
significant challenge for the scientific and clinical community despite decades of advanced …
significant challenge for the scientific and clinical community despite decades of advanced …