ArticleMolecular cancer2024
Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation.
Article in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 3 of them syntheses that pooled it.
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
105 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Evaluating eight smoking metrics for modelling survival in non-small cell lung cancer.Cancer epidemiology · 2026Pooled it
- Application and integration of deep learning in tumour radiomics: bibliometrics and visualisation analysis.Frontiers in artificial intelligence · 2026Pooled it
- GLP-1 receptor agonists and the risk for cancer: A meta-analysis of randomized controlled trials.Diabetes, obesity & metabolism · 2025 · on this mapPooled it
- Jianpi Yiwei Granules for Chemotherapy-Induced Gastrointestinal Reactions: A Randomized Double-Blind Placebo-Controlled Trial.Anti-cancer agents in medicinal chemistry · 2026Trial
- Critical review of artificial intelligence in synthetic biology: DBTL cycle applications, challenges, and design rules for microbial strain engineering.World journal of microbiology & biotechnology · 2026Review
- Rational High-Throughput Screening of Cocrystals: An Explainable Deep Learning Framework Based on Morgan Fingerprints and Cross-Attention.ACS physical chemistry Au · 2026Article
- From Glycan Biology to Drug Candidates: An Integrated Sialylation Niche Index and AI-Guided Therapeutic Framework for Head and Neck Squamous Cell Carcinoma.Biomedicines · 2026Article
- The RNA-Binding Protein ELAVL4/HuD Promotes Stress-Associated Tumor Survival in Neuroendocrine Cancers.International journal of molecular sciences · 2026Review
- Global research hotspots and evolving themes in chemoresistance of hepatocellular carcinoma: a bibliometric analysis from a pharmacological perspective.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Systematic prioritization of candidate genes in camptothecin biosynthesis using multi-omics and deep learning.The plant genome · 2026Article
- Knowledge, attitude, and awareness of artificial intelligence among medical staff in Kabul City.Annals of medicine and surgery (2012) · 2026Article
- Efficacy of simvastatin as adjunctive therapy in liver cirrhosis: an updated meta-analysis of randomized controlled trials.Annals of medicine and surgery (2012) · 2026Article
- An evidence informed framework for artificial intelligence in rare breast cancers using small cohort validation synthetic data practices and clinical governance.Discover oncology · 2026Review
- Article
- Management of neonatal pyonephrosis in a low-resource setting: a case report.Annals of medicine and surgery (2012) · 2026Article
- Combatting pulmonary fibrosis withChinese herbal medicines · 2026Review
- Generative AI-drivenAntibody therapeutics · 2026Article
- Emerging trends in post-COVID immune dysregulation: a narrative review.Annals of medicine and surgery (2012) · 2026Review
- Context-dependent actions of STING pathway in colitis and associated colon cancer.Genes & diseases · 2026Review
- Machine learning-driven discovery of celastrol as an anti-inflammatory therapy suppressing NETs in severe influenza.Genes & diseases · 2026Article
45 more citing papers are in PubMed but not listed here.
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
Abstract
AlphaFold model has reshaped biological research. However, vast unstructured data in the entire AlphaFold field requires further analysis to fully understand the current research landscape and guide future exploration. Thus, this scientometric analysis aimed to identify critical research clusters, track emerging trends, and highlight underexplored areas in this field by utilizing machine-learning-driven informatics methods. Quantitative statistical analysis reveals that the AlphaFold field is enjoying an astonishing development trend (Annual Growth Rate = 180.13%) and global collaboration (International Co-authorship = 33.33%). Unsupervised clustering algorithm, time series tracking, and global impact assessment point out that Cluster 3 (Artificial Intelligence-Powered Advancements in AlphaFold for Structural Biology) has the greatest influence (Average Citation = 48.36 ± 184.98). Additionally, regression curve and hotspot burst analysis highlight "structure prediction" (s = 12.40, R
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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.