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.
261 to 280 of 2,355
Download this page as JSON| Title | Journal | Year | PMID | Found by | Source |
|---|---|---|---|---|---|
| Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults. | Int J Public Health | 2026 | 42292917 | PubTator, text mining | PubMed |
| Investigation of the molecular network underlying PET-MPs-induced inflammatory bowel disease via integrated machine learning and molecular docking approaches. | Sci Rep | 2026 | 42289588 | PubTator, text mining | PubMed |
| Machine learning-driven prognostic modeling in head and neck adenoid cystic carcinoma: A retrospective cohort study. | J Stomatol Oral Maxillofac Surg | 2026 | 42276251 | PubTator, text mining | PubMed |
| Development and internal validation of an interpretable machine-learning model for identifying comorbid atrial fibrillation in patients with diabetic kidney disease. | Front Clin Diabetes Healthc | 2026 | 42273408 | PubTator, text mining | PubMed |
| Development and validation of a machine learning model for predicting adverse prognosis in Wallerian degeneration patients based on clinical and imaging data. | Front Neurol | 2026 | 42273037 | PubTator, text mining | PubMed |
| Heterogeneous and nonlinear associations between depressive symptoms and functional disability in older Chinese adults. | BMC Psychol | 2026 | 42271459 | PubTator, text mining | PubMed |
| Development and validation of a machine learning-based model for predicting delirium risk in postoperative brain tumor patients in the Intensive Care Unit. | J Neurooncol | 2026 | 42268477 | PubTator, text mining | PubMed |
| Machine learning for predicting liver metastasis in colorectal cancer. | Discov Oncol | 2026 | 42268467 | PubTator, text mining | PubMed |
| Screening of biomarkers and machine learning prediction in traumatic brain injury. | Front Neurol | 2026 | 42266584 | PubTator, text mining | PubMed |
| Machine learning-based triage model for elderly traumatic brain injury patients in Chinese emergency department. | Front Neurol | 2026 | 42266581 | PubTator, text mining | PubMed |
| Association between the albumin-to-lymphocyte ratio and short-term mortality in critically Ill pediatric patients: a retrospective cohort study and machine learning analysis. | Front Pediatr | 2026 | 42266546 | PubTator, text mining | PubMed |
| Deciphering the potential molecular links between ochratoxin A and colorectal cancer: an integrated computational toxicological and single-cell transcriptomic study. | Toxicon | 2026 | 42263871 | PubTator, text mining | PubMed |
| OralAbsPredict: A data-driven framework to predict human intestinal absorption (HIA) and human oral bioavailability (HOB) from chemical structures. | Eur J Med Chem | 2026 | 42263584 | PubTator, text mining | PubMed |
| Machine learning based model for the detection of multiple sclerosis from OCT-derived macular and optic disc retinal biomarkers. | BMC Med Inform Decis Mak | 2026 | 42260563 | PubTator, text mining | PubMed |
| Revisiting satisfaction with life: A hybrid study based on linear models and machine learning. | Acta Psychol (Amst) | 2026 | 42259206 | PubTator, text mining | PubMed |
Association Between Lactate-to-Albumin Ratio and 28-Day All-Cause Mortality in ICU-Admitted Acute Pancreatitis Patients: Development and Validation of a Machine Learning-Based Predictive Model Integrating Albumin-Corrected Indices. | Int J Med Inform | 2026 | 42259120 | PubTator, text mining | PubMed |
| Smash landing in elite male badminton players: Effects of fatigue and task predictability via explainable machine-learning analysis. | Proc Inst Mech Eng H | 2026 | 42251489 | PubTator, text mining | PubMed |
| An interpretable machine-learning model for post-admission reassessment of bloodstream infection risk in ICU patients with pneumonia. | Sci Rep | 2026 | 42251092 | PubTator, text mining | PubMed |
A body roundness index (BRI)-based predictive model for metabolic syndrome in perimenopausal and postmenopausal women-from a cross-sectional machine learning study to a longitudinal dynamic assessment. | Ann Med | 2026 | 42250232 | PubTator, text mining | PubMed |
| Reliability-based mix design for concrete compressive strength using a physics-prior residual-learning surrogate with calibrated uncertainty. | PLoS One | 2026 | 42247416 | 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.
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