SynthesisFrontiers in genetics2022
Synthetic lethal gene pairs: Experimental approaches and predictive models.
Synthesis in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Explainable/interpretable artificial intelligence and knowledge graph neural network for synthetic lethality prediction: overview, challenges, and future directions.Briefings in bioinformatics · 2026Review
- Article
- A multi-layer encoder prediction model for individual sample specific gene combination effect (MLEC-iGeneCombo).PLoS computational biology · 2025Article
- Heterogeneity of cancer-associated fibroblast subpopulations in prostate cancer: Implications for prognosis and immunotherapy.Translational oncology · 2025Article
- Inhibition of programmed cell death by melanoma cell subpopulations reveals mechanisms of melanoma metastasis and potential therapeutic targets.Discover oncology · 2025Article
- Targeting synthetic lethality: an effective therapeutic approach in ovarian and endometrial cancers.Therapeutic advances in medical oncology · 2025Review
- Struct2SL: Synthetic lethality prediction based on AlphaFold2 structure information and Multilayer Perceptron.Computational and structural biotechnology journal · 2025Article
- Integrative single-cell and spatial transcriptomics uncover ELK4-mediated mechanisms inFrontiers in immunology · 2025Article
- The role of ATF3 in precision medicine of brain arteriovenous malformation: based on endothelial cell proliferation.Frontiers in immunology · 2025Article
- Benchmarking machine learning methods for synthetic lethality prediction in cancer.Nature communications · 2024Article
- Targeting the Sodium-Potassium Pump as a Therapeutic Strategy in Acute Myeloid Leukemia.Cancer research · 2024Article
- Synthetic lethal connectivity and graph transformer improve synthetic lethality prediction.Briefings in bioinformatics · 2024Article
- New Horizons of Synthetic Lethality in Cancer: Current Development and Future Perspectives.Journal of medicinal chemistry · 2024Review
- Paralog-based synthetic lethality: rationales and applications.Frontiers in oncology · 2023Review
- Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic lethality (SL) refers to a genetic interaction in which the simultaneous perturbation of two genes leads to cell or organism death, whereas viability is maintained when only one of the pair is altered. The experimental exploration of these pairs and predictive modeling in computational biology contribute to our understanding of cancer biology and the development of cancer therapies. We extensively reviewed experimental technologies, public data sources, and predictive models in the study of synthetic lethal gene pairs and herein detail biological assumptions, experimental data, statistical models, and computational schemes of various predictive models, speculate regarding their influence on individual sample- and population-based synthetic lethal interactions, discuss the pros and cons of existing SL data and models, and highlight potential research directions in SL discovery.
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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.