ArticleNature2020
Improved protein structure prediction using potentials from deep learning.
Article in Nature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,230 papers, 1 of them a synthesis that pooled it.
What it found
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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
1,230 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning approaches for resolving genomic discrepancies in cancer: a systematic review and clinical perspective.Briefings in bioinformatics · 2025Pooled it
- Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027Review
- Distinct Molten-Globule Conformations in an Interacting Protein Domain Resolved byAngewandte Chemie (International ed. in English) · 2026Article
- Scientific culture in the age of AI.Nature cell biology · 2026Article
- Deep learning architectures achieve state-of-the-art (SOTA) accuracy in protein secondary structure prediction.Molecular diversity · 2026Review
- Clinical trials in a dish: cardiometabolic drug development with biological and digital twins.The Journal of clinical investigation · 2026Review
- Article
- Reimagining computational macromolecular modeling: AI-driven approaches.Biophysical journal · 2026Review
- Structural basis for small-molecule agonism at GCGR and GIPR via a conserved intracellular allosteric site.Acta pharmacologica Sinica · 2026Article
- Deep learning-based structural prediction (AlphaFold 3) of shrimp IMNV RdRp and identification of seaweed-derived metabolites for antiviral intervention in aquaculture.Virus research · 2026Article
- Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data.PLoS computational biology · 2026Article
- Autophagy modulation in cancer.Nature reviews. Drug discovery · 2026Review
- HighFold4: extending AlphaFold3 to accurate cyclic peptide conformation prediction via custom chemical connectivity.Briefings in bioinformatics · 2026Article
- A cryptic START domain regulates deeply conserved transcription factors.The Plant cell · 2026Article
- The Characterization and Antifungal Efficacy of NJ-62 Protein from Weizmannia coagulans CGMCC 9951 against Ceratocystis fimbriata.Probiotics and antimicrobial proteins · 2026Article
- A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability.Nature biotechnology · 2026Article
- Opposing roles for lipocalins and a CD36 family scavenger receptor in apical extracellular matrix-dependent protection of narrow tube integrity.Development (Cambridge, England) · 2026Article
- Artificial intelligence in drug discovery - what it is, where we stand and the path forward.Nature reviews. Drug discovery · 2026Review
- Metabolite-mediated plant immunity: From traditional defenders to artificial elicitors.Journal of integrative plant biology · 2026Review
- Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems.Advanced drug delivery reviews · 2026Review
1,170 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence
Indexed as
Identifiers
31942072What 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.