[HTML][HTML] AI applications in functional genomics
We review the current applications of artificial intelligence (AI) in functional genomics. The
recent explosion of AI follows the remarkable achievements made possible by “deep …
recent explosion of AI follows the remarkable achievements made possible by “deep …
Computational methods, databases and tools for synthetic lethality prediction
J Wang, Q Zhang, J Han, Y Zhao, C Zhao… - Briefings in …, 2022 - academic.oup.com
Synthetic lethality (SL) occurs between two genes when the inactivation of either gene alone
has no effect on cell survival but the inactivation of both genes results in cell death. SL …
has no effect on cell survival but the inactivation of both genes results in cell death. SL …
KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers
Motivation Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer
drug targets. Wet-lab screening of SL pairs is afflicted with high cost, batch-effect, and off …
drug targets. Wet-lab screening of SL pairs is afflicted with high cost, batch-effect, and off …
PiLSL: pairwise interaction learning-based graph neural network for synthetic lethality prediction in human cancers
Motivation Synthetic lethality (SL) is a type of genetic interaction in which the simultaneous
inactivation of two genes leads to cell death, while the inactivation of a single gene does not …
inactivation of two genes leads to cell death, while the inactivation of a single gene does not …
[HTML][HTML] An interpretable artificial intelligence framework for designing synthetic lethality-based anti-cancer combination therapies
J Wang, Y Wen, Y Zhang, Z Wang, Y Jiang… - Journal of Advanced …, 2024 - Elsevier
Introduction Synthetic lethality (SL) provides an opportunity to leverage different genetic
interactions when designing synergistic combination therapies. To further explore SL-based …
interactions when designing synergistic combination therapies. To further explore SL-based …
NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancers
Motivation Detecting synthetic lethality (SL) is a promising strategy for identifying anti-cancer
drug targets. Targeting SL partners of a primary gene mutated in cancer is selectively lethal …
drug targets. Targeting SL partners of a primary gene mutated in cancer is selectively lethal …
Benchmarking machine learning methods for synthetic lethality prediction in cancer
Synthetic lethality (SL) is a gold mine of anticancer drug targets, exposing cancer-specific
dependencies of cellular survival. To complement resource-intensive experimental …
dependencies of cellular survival. To complement resource-intensive experimental …
Overcoming selection bias in synthetic lethality prediction
Motivation Synthetic lethality (SL) between two genes occurs when simultaneous loss of
function leads to cell death. This holds great promise for developing anti-cancer therapeutics …
function leads to cell death. This holds great promise for developing anti-cancer therapeutics …
Methylation synthetic lethality: Exploiting selective drug targets for cancer therapy
BJ Ye, DF Li, XY Li, JL Hao, DJ Liu, H Yu, CD Zhang - Cancer Letters, 2024 - Elsevier
In cancer, synthetic lethality refers to the drug-induced inactivation of one gene and the
inhibition of another in cancer cells by a drug, resulting in the death of only cancer cells; …
inhibition of another in cancer cells by a drug, resulting in the death of only cancer cells; …
MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network
Synthetic lethality (SL) and synthetic viability (SV) are commonly studied genetic interactions
in the targeted therapy approach in cancer. In SL, inhibiting either of the genes does not …
in the targeted therapy approach in cancer. In SL, inhibiting either of the genes does not …