ReviewPrecision clinical medicine2025
AlphaFold 3: an unprecedent opportunity for fundamental research and drug development.
Review in Precision clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Cell-based crop phenotyping for future climates.The New phytologist · 2026Review
- 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
- Cucurbit Leaf Crumple Virus: An Important Pathogen of Cucurbit and Snap Bean Crops.Molecular plant pathology · 2026Review
- Structural basis of GSDME pore formation and its regulation by S-palmitoylation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Artificial intelligence in contact sports research: Promise and peril for predicting and preventing brain injury.Experimental physiology · 2026Article
- Artificial Intelligence in Pharmaceutical Care:Saudi medical journal · 2026Review
- Plant G proteins: Versatile signaling hubs for synergistic improvement of agronomic traits.Journal of integrative plant biology · 2026Review
- Foldify: Web Application for Protein Structure Prediction.Journal of chemical information and modeling · 2026Article
- Eras of bioinformatics technologies from command-line interfaces to artificial intelligence (AI) chatbots.Briefings in bioinformatics · 2026Review
- In Silico Perturbome Analysis Reveals Conserved Genes and Drug-Target Interactions inPathogens (Basel, Switzerland) · 2026Article
- Alzheimer's Disease and MERC Dysfunction: Integrating Mechanisms, Biomarkers, and Therapeutic Strategies.Molecular neurobiology · 2026Review
- Navigating the uncharted: AI-driven advances in protein structure, dynamics, interactions and ligand interactions for understudied families.BioData mining · 2026Review
- Agrimol B inhibits pancreatic ductal adenocarcinoma by induction of lethal mitophagy through decreasing mitochondrial transcription termination factor 3.Precision clinical medicine · 2026Article
- The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaboration.medRxiv : the preprint server for health sciences · 2026Article
- Microproteins in Human Physiology and Pathology.Biochemistry · 2026Review
- IL‑6: A key player in the EGFR‑TKI‑resistant tumor microenvironment and its therapeutic implications (Review).International journal of oncology · 2026Review
- Signal peptidase complex mediates rotavirus VP7 processing and virion assembly.PLoS pathogens · 2026Article
- Bacterial Chemoreceptors Transmit Stimulus Signals Through Coupled Entropic Switches.Journal of molecular biology · 2026Article
- Chimeric Approach to Identify Molecular Determinants of Nicotinic Acetylcholine Receptors.International journal of molecular sciences · 2026Review
- Desensitization of the Cardiac Troponin Complex by TnI Phosphorylation and Epigallocatechin-3-Gallate.ACS omega · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AlphaFold3 (AF3), as the latest generation of artificial intelligence model jointly developed by Google DeepMind and Isomorphic Labs, has been widely heralded in the scientific research community since its launch. With unprecedented accuracy, the AF3 model may successfully predict the structure and interactions of virtually all biomolecules, including proteins, ligands, nucleic acids, ions, etc. By accurately simulating the structural information and interactions of biomacromolecules, it has shown great potential in many aspects of structural prediction, mechanism research, drug design, protein engineering, vaccine development, and precision therapy. In order to further understand the characteristics of AF3 and accelerate its promotion, this article sets out to address the development process, working principle, and application in drugs and biomedicine, especially focusing on the intricate differences and some potential pitfalls compared to other deep learning models. We explain how a structure-prediction tool can impact many research fields, and in particular revolutionize the strategies for designing of effective next generation vaccines and chemical and biological drugs.
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.