ArticleNature2025
Targeting protein-ligand neosurfaces with a generalizable deep learning tool.
Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Reimagining computational macromolecular modeling: AI-driven approaches.Biophysical journal · 2026Review
- Proteome-wide identification of the druggable CRBN interactome.Nature biotechnology · 2026Article
- Assessing the Stability of Molecular Glues with Weighted Ensemble Simulations.Journal of chemical theory and computation · 2026Article
- Ubiquitin family as novel protein partners for molecular glues.npj drug discovery · 2026Review
- Humanized Anti-PD-1 Antibodies Generated Using The Conditional Kernel-Elastic Autoencoder.bioRxiv : the preprint server for biology · 2026Article
- Geometric Deep Learning-Based Drug Design Models for Small-Molecule Drug Discovery.Molecular informatics · 2026Review
- Article
- ExplainBind: Explainable Physicochemical Determinants of Protein-Ligand Binding via Non-Covalent Interactions.bioRxiv : the preprint server for biology · 2026Article
- Generalist biological artificial intelligence in modeling the language of life.Nature biotechnology · 2026Review
- A T7 RNAP regulatory toolbox for cell-free network engineering and biosensing applications.Nature communications · 2026Article
- De novo and scaffold-based design of GDF15 binders for cancer cachexia diagnostics and therapeutics.Experimental & molecular medicine · 2026Article
- Decoding TCR recognition via geometric deep learning of immunological fingerprints.Briefings in bioinformatics · 2026Article
- Decoding Protein-Membrane Binding Interfaces from Surface-Fingerprint-Based Geometric Deep Learning and Molecular Dynamics Simulations.Journal of chemical information and modeling · 2026Article
- From Serendipity to Strategy: Rationalizing Molecular Glue Discovery and Proximity-Induced Pharmacology through Chemical Biology.Journal of the American Chemical Society · 2026Review
- Bioswitches: Towards programmable, on-demand control of therapeutic proteins.Clinical and translational medicine · 2026Article
- An artificial intelligence-driven synthesis planning platform (PhotoCat) for photocatalysis.Communications chemistry · 2026Article
- Computational design of dynamic biosensors for emerging synthetic opioids.Nature communications · 2026Article
- Structure-informed machine learning for drug discovery: a task-centric perspective.Briefings in bioinformatics · 2026Review
- MGTbind: a comprehensive database of molecular glue ternary interactome.Nucleic acids research · 2026Article
- Multimodal graph, surface, and language-based model for protein protein interaction prediction.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Molecular recognition events between proteins drive biological processes in living systems
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.