Gene · 57477
Papers2,355
Newest first. Swiss-Prot's references are curated; PubTator's text mining finds papers that name the gene, not always ones about it.
301 to 320 of 2,355
Download this page as JSON| Title | Journal | Year | PMID | Found by | Source |
|---|---|---|---|---|---|
| Impact of MetS on Long-Term Prognosis Among STEMI Patients Treated with pPCI-Ten-Year Follow-Up Study. | Med Sci (Basel) | 2026 | 42201060 | PubTator, text mining | PubMed |
| A machine learning approach with SHAP interpretability for classifying drug craving levels. | Front Public Health | 2026 | 42200120 | PubTator, text mining | PubMed |
| Development and validation of a machine learning-based model for assessing coronary artery disease risk in postmenopausal women: a dual-center retrospective study. | Nan Fang Yi Ke Da Xue Xue Bao | 2026 | 42198958 | PubTator, text mining | PubMed |
| Interpretable QSAR, External PubChem Validation, and Coordination-Aware Docking Enable Tiered Prioritization of Carbonic Anhydrase I Inhibitors. | Pharmaceuticals (Basel) | 2026 | 42198451 | PubTator, text mining | PubMed |
| Subtype-Specific Macular Vascular Signatures in Primary Open-Angle, Pseudoexfoliative, and Normal-Tension Glaucoma: OCT Angiography Study. | Medicina (Kaunas) | 2026 | 42195194 | PubTator, text mining | PubMed |
| A Machine Learning-Based Clinical Decision Support Tool for Intertrochanteric Hip Fracture Patients to Predict Postoperative Anemia Risk: A Retrospective Cohort Study. | Bioengineering (Basel) | 2026 | 42194245 | PubTator, text mining | PubMed |
| Evolution of Gastrointestinal Inflammatory Diseases and Neoplasm Burden in Super-Elderly Populations: Integrated GBD 2023, CHARLS, and CLHLS Analyses of China and G20 Countries. | Mol Med | 2026 | 42192306 | PubTator, text mining | PubMed |
| Multidomain correlates of burnout: A population-based study using supervised machine learning. | Soc Psychiatry Psychiatr Epidemiol | 2026 | 42189184 | PubTator, text mining | PubMed |
| [Analysis of factors affecting high-frequency hearing loss among workers exposed to noise in the mining industry in Ningxia and construction of risk prediction model]. | Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi | 2026 | 42185102 | PubTator, text mining | PubMed |
| Symptom-based diagnostic models for common respiratory viral infections: a machine learning and natural language processing study. | Infect Dis Model | 2026 | 42182951 | PubTator, text mining | PubMed |
| Unveiling the drivers of carbon sequestration in Baotou shelterbelt species: A functional group perspective with xgboost-SHAP interpretation. | iScience | 2026 | 42181248 | PubTator, text mining | PubMed |
| Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice. | Stud Health Technol Inform | 2026 | 42175322 | PubTator, text mining | PubMed |
| Enhancing Explainable AI Stability with Realistic Synthetic Data for Cardiovascular Risk Prediction. | Stud Health Technol Inform | 2026 | 42174991 | PubTator, text mining | PubMed |
| Risk prediction of depression- and anxiety-related psychological distress in a large multistage survey sample of Chinese adults: a multi-algorithm ensemble machine-learning model with SHAP. | J Affect Disord | 2026 | 42173369 | PubTator, text mining | PubMed |
| Identification of chemotherapy-related risk factors for lymphedema in breast cancer patients using Lasso regression and model development. | Am J Transl Res | 2026 | 42170447 | PubTator, text mining | PubMed |
| Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis. | BMC Med Inform Decis Mak | 2026 | 42163233 | PubTator, text mining | PubMed |
| Computational models for the classification of antibody specificity using heavy chain features. | PLoS One | 2026 | 42160323 | PubTator, text mining | PubMed |
| Stability-Driven Selection of EEG Connectivity Features for Psychosis Classification: A Network-Based Machine Learning Approach. | CNS Neurosci Ther | 2026 | 42157703 | PubTator, text mining | PubMed |
| Machine learning-based risk prediction model for postoperative acute kidney injury in surgical patients with chronic kidney disease (CKD): development, validation, and SHAP-based explainability. | Ren Fail | 2026 | 42157597 | PubTator, text mining | PubMed |
Machine learning and dose response effect models: an integrated approach to analyze the association between environmental variables and Cuneo Emergency Department admissions for Acute Otitis Media (2007-2015). | Int J Biometeorol | 2026 | 42154319 | PubTator, text mining | PubMed |
gene-search-2026-11-11-0.2.0
Sources 12
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- EMBL-EBI's patent proteinsNo added restrictions. Attribution expected
- GenBank's patent filesNo restrictions from NCBI. Submitters may hold rights
- HGNCCC0
- NCBI GenePublic domain (US government)
- NIH's project files and grant-paper linksPublic domain
- Open TargetsCC0 1.0
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- EMBL-EBI's patent proteinsEMBL-EBI's patent protein files from the EPO, JPO, KIPO and USPTO. EMBL-EBI: "EMBL-EBI itself places no additional restrictions on the use or redistribution of the data available via its Data Resources and Tools other than those provided by the original data owners" and "EMBL-EBI expects attribution (e.g. in publications, services or products) for the use of any of its Data Resources and Tools." Read on 11 Nov 2026 at https://www.ebi.ac.uk/about/terms-of-use
- GenBank's patent filesGenBank's patent files. NCBI: "NCBI places no restrictions on the use or distribution of the GenBank data. However, some submitters may claim patent, copyright, or other intellectual property rights in all or a portion of the data they have submitted." Read on 11 Nov 2026 at https://www.ncbi.nlm.nih.gov/genbank/about/
- HGNCCC0: https://www.genenames.org/about/license/
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH's project files and grant-paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
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