PubMed Central
metadata only
DeorphaNN: Virtual screening of GPCR peptide agonists using AlphaFold-predicted active-state complexes and deep learning embeddings
Peptide-activated G protein-coupled receptors (GPCRs) regulate physiological processes through interaction with neuropeptides and peptide hormones. Identifying endogenous peptide agonists remains challenging, as peptide-GPCR pairings often follow gene-family relationships that offer limited predicti
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Morphofunctional analysis of feeding regulation in brain by some novel GPCR ligands#70233
- DeepIR-Pred: identification of insulin receptors using metaheuristic optimization of biologically informed multi-view features with deep recurrent learning.#1134774
- Screening for Interacting Proteins with Peptide Biomarker of Blood-Brain Barrier Alteration under Inflammatory Conditions#935688
- An Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction#1051581
- Stimulus-Augmented Transcriptomics Reveals Patient-Specific Molecular Profiles in Pulmonary Arterial Hypertension / Corey Wittig#1038075
Record · ID 976762
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive