ReviewFrontiers in artificial intelligence2022
An Overview of Alphafold's Breakthrough.
Review in Frontiers in artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Genomic, Proteomic, and Structural Insights Into the Transition of FtsZ From Thermophiles to Mesophiles Across the Prokaryotic Kingdom.Proteins · 2026Article
- Design, build and test of a targeted synthetic protein strategy.Frontiers in bioengineering and biotechnology · 2026Article
- The transformative impact of AI-enabled AlphaFold 3: evolution, current status, and future prospects in structural biology.Frontiers in artificial intelligence · 2026Review
- The molecular complexity of deep vein thrombosis was preliminarily explored based on the ceRNA network, scRNA-seq and AlphaFold 2.BMC medical genomics · 2025Article
- Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants.NAR genomics and bioinformatics · 2025Article
- Chemosensory Receptors in Vertebrates: Structure and Computational Modeling Insights.International journal of molecular sciences · 2025Review
- Leveraging protein structural information to improve variant effect prediction.Current opinion in structural biology · 2025Review
- Article
- A Structural Proteomics Exploration of Synphilin-1 and Alpha-Synuclein Interaction in Pathogenesis of Parkinson's Disease.Biomolecules · 2024Article
- Reliability of AlphaFold2 Models in Virtual Drug Screening: A Focus on Selected Class A GPCRs.International journal of molecular sciences · 2024Article
- Predictive Modeling and Structure Analysis of Genetic Variants in Familial Hypercholesterolemia: Implications for Diagnosis and Protein Interaction Studies.Current atherosclerosis reports · 2023Review
- Using AlphaFold Predictions in Viral Research.Current issues in molecular biology · 2023Review
- Computational Approaches Drive Developments in Immune-Oncology Therapies for PD-1/PD-L1 Immune Checkpoint Inhibitors.International journal of molecular sciences · 2023Review
- A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction.Basic research in cardiology · 2023Review
- Two odorant receptors regulate 1-octen-3-ol induced oviposition behavior in the oriental fruit fly.Communications biology · 2023Article
- A journey from molecule to physiology andFrontiers in pharmacology · 2023Review
- Toward the appropriate interpretation of Alphafold2.Frontiers in artificial intelligence · 2023Review
- Article
- Genome-wide analysis of theFrontiers in plant science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents a short summary of the protein folding problem, what it is and why it is significant. Introduces the CASP competition and how accuracy is measured. Looks at different approaches for solving the problem followed by a review of the current breakthroughs in the field introduced by AlphaFold 1 and AlphaFold 2.
Indexed as
Identifiers
What Socratic 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 Socratic graph.