Paper · 39215014
AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer.
Ouyang B and 19 others. Nat Commun, 2024. Cited by 41 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer. Papers, record 39215014. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/39215014
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer.
- PubMed
Topics14
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Triple Negative Breast Neoplasms | Major topic |
| Pyroptosis | Major topic |
| Drug Discovery | Major topic |
| Humans | |
| Female | |
| Animals | |
| Mitoxantrone | |
| Xanthones | |
| Cell Line, Tumor | |
| Antineoplastic Agents | |
| Mice | |
| Artificial Intelligence | |
| Data Mining | |
| Neural Networks, Computer |
Source PubMed
Grants1
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
| Grant, as the record writes it | Agency | Country | NIH project | Stated by |
|---|---|---|---|---|
| 82172073, 51933002, 8217070298 | National Natural Science Foundation of China (National Science Foundation of China) | PubMed |
Source PubMed
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References68
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 30,279,003 | Refining Early Antitumoral Drug Development. | Trends Pharmacol Sci | 2018 | https://conductscience.org/library/papers/30279003 | PubMed |
| 2 | 34,975,326 | Integrative analysis of the molecular mechanisms, immunological features and immunotherapy response of ferroptosis regulators across 33 cancer types. | Int J Biol Sci | 2022 | https://conductscience.org/library/papers/34975326 | PubMed |
| 3 | 32,254,586 | Erythrocyte-platelet hybrid membranes coating polypyrrol nanoparticles for enhanced delivery and photothermal therapy. | J Mater Chem B | 2018 | https://conductscience.org/library/papers/32254586 | PubMed |
| 4 | 35,637,317 | Phenotypic drug discovery: recent successes, lessons learned and new directions. | Nat Rev Drug Discov | 2022 | https://conductscience.org/library/papers/35637317 | PubMed |
| 5 | 35,713,468 | Proteolysis-targeting chimera (PROTAC) delivery system: advancing protein degraders towards clinical translation. | Chem Soc Rev | 2022 | https://conductscience.org/library/papers/35713468 | PubMed |
| 6 | 31,106,366 | SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules. | Nucleic Acids Res | 2019 | https://conductscience.org/library/papers/31106366 | PubMed |
| 7 | 33,201,252 | BCL2L13: physiological and pathological meanings. | Cell Mol Life Sci | 2021 | https://conductscience.org/library/papers/33201252 | PubMed |
| 8 | 11,262,395 | Bcl-rambo, a novel Bcl-2 homologue that induces apoptosis via its unique C-terminal extension. | J Biol Chem | 2001 | https://conductscience.org/library/papers/11262395 | PubMed |
| 9 | 27,626,769 | Engineered Nanoplatelets for Enhanced Treatment of Multiple Myeloma and Thrombus. | Adv Mater | 2016 | https://conductscience.org/library/papers/27626769 | PubMed |
| 10 | 35,288,674 | Pyroptosis and pyroptosis-inducing cancer drugs. | Acta Pharmacol Sin | 2022 | https://conductscience.org/library/papers/35288674 | PubMed |
1 to 10 of 68
See all 68 referencesCited by23
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 41 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 42,866,318 | Recent advances in targeted therapies and immunotherapies for triple-negative breast cancer. | Front Oncol | 2026 | https://conductscience.org/library/papers/42866318 | PubMed |
| 42,662,069 | Decoding the molecular mechanisms of pyroptosis and its therapeutic development prospects. | Front Cell Dev Biol | 2026 | https://conductscience.org/library/papers/42662069 | PubMed |
| 42,423,852 | The role of artificial intelligence in precision medicine for breast cancer. | Discov Oncol | 2026 | https://conductscience.org/library/papers/42423852 | PubMed |
| 42,162,002 | AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven framework. | NPJ Genom Med | 2026 | https://conductscience.org/library/papers/42162002 | PubMed |
| 42,023,218 | Integrating bulk, single-cell, and spatial transcriptomics to identify a novel pyroptosis-related gene signature for predicting prognosis and tumor immune landscape in triple-negative breast cancer. | Front Immunol | 2026 | https://conductscience.org/library/papers/42023218 | PubMed |
| 41,844,622 | Structural evolution of carbon frameworks realizes in vitro interfacial transport in metabolically reprogrammed senescent cells for senolysis. | Nat Commun | 2026 | https://conductscience.org/library/papers/41844622 | PubMed |
| 41,836,157 | Recent Advances and Emerging Directions in Machine Learning-Based Breast Cancer Drug Discovery: A Comprehensive Review. | Breast Cancer (Dove Med Press) | 2026 | https://conductscience.org/library/papers/41836157 | PubMed |
| 41,820,292 | Harnessing pyroptosis in breast cancer therapy: immunological mechanisms and emerging biomaterial strategies. | Cell Death Discov | 2026 | https://conductscience.org/library/papers/41820292 | PubMed |
| 41,752,408 | Actinolactomycin from Streptomyces sp. CB00271: Isolation, Identification, and Potent Anti-Triple-Negative Breast Cancer. | Molecules | 2026 | https://conductscience.org/library/papers/41752408 | PubMed |
| 41,648,057 | Traditional Chinese Medicine Modernization in Diagnosis and Treatment: Utilizing Artificial Intelligence and Nanotechnology. | MedComm (2020) | 2026 | https://conductscience.org/library/papers/41648057 | PubMed |
1 to 10 of 23
See all 23 cited byGenes0
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
None in this release.
Drugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- 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
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- 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 RePORTER's grant and 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
- PMC's ID fileNone 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/
- 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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