Synthetic lethality knowledge graph

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August undefined, 2024

WebApr 9, 2024 · Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets. However, wet-lab experiments for detecting SLs are faced with various challenges, such as high... WebDec 28, 2024 · Key words: synthetic lethality; knowledge graph; database; cancer; precision medicine; machine learning Introduction Synthetic lethality (SL), initially described in Drosophila as recessive lethality [9], is a type of gene-gene interaction such that the perturbation of both genes causes the loss of cell

PiLSL: pairwise interaction learning-based graph neural ... - Github

WebJan 16, 2024 · SLGNN consists of three steps: first, we model the combinations of relationships in the gene-related knowledge graph as the SL-related factors. Next, we … Webof graph convolutional network techniques for bioinformatics applications. A. SL Prediction Methods Recently, various methods have been proposed for human SL prediction. We can divide these methods into two cat-egories, namely, knowledge-based methods and supervised machine learning methods. Knowledge-based methods utilize the knowledge … cct thale

Prediction of Synthetic Lethal Interactions in Human Cancers …

WebSynthetic lethality (SL) is currently one of the most effective methods to identify new drugs for cancer treatment. It means that simultaneous inactivation targ Predicting Synthetic … WebDec 24, 2024 · Background Synthetic lethality has attracted a lot of attentions in cancer therapeutics due to its utility in identifying new anticancer drug targets. Identifying synthetic lethal (SL) interactions is the key step towards the exploration of synthetic lethality in cancer treatment. However, biological experiments are faced with many challenges when … WebFeb 24, 2024 · We develop the Synthetic Lethality Knowledge Graph (SLKG), presenting the tumor therapy landscape of synthetic lethality (SL) and synthetic dosage lethality (SDL). … Metrics - The tumor therapy landscape of synthetic lethality - Nature cctt fort hood

SynLethDB 2.0: a web-based knowledge graph database …

WebSep 16, 2024 · Abstract 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 affect the cell viability. It can effectively expand the range of anti-cancer therapeutic targets. WebJul 12, 2024 · 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, … butchers dunmowWebMay 14, 2024 · Synthetic Lethality Knowledge Graph (SLKG) is a knowledge graph that contains seven kinds of relationships among genes, cancers and drugs. Unlike SL-BioDP, SLKG collects SL pairs from literature and … butchers dyce

"WebDec 1, 2024 · Synthetic lethality (SL) refers to a genetic interaction in which the simultaneous perturbation of two genes leads to cell or organism death, whereas viability … " - Synthetic lethality knowledge graph

Synthetic lethality knowledge graph

WebMay 13, 2024 · The potential usage of synthetic lethality (SL) in anticancer therapeutics has attracted many researchers to identify synthetic lethal gene pairs. To include newly … WebMar 29, 2024 · 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. ... It is a comprehensive knowledge graph (KG) of SL including 11 types of biomedical entities and 27 types of relationships, representing features and ...

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WebNCI's Dictionary of Cancer Terms provides easy-to-understand definitions for words and phrases related to cancer and medicine. WebJan 9, 2024 · Synthetic lethal (SL) is a functional relationship between two genes where the loss of either gene is viable while the loss of both is lethal. The identification of gene pairs that demonstrate synthetic lethality can help uncover potential mechanisms that will contribute to the discovery of anti-cancer targets and development of therapeutic drugs.

WebWe propose an novel Multi-Graph ensemble network model which integrates an SL graph and multi gene relation graphs to improve the performance of SL prediction. II. D ATA A CQUISITION Synthetic lethality data was downloaded from SynLethDB[1] which is the most comprehensive synthetic lethality database. Human SL data in SynLethDB were

WebJul 12, 2024 · Results: Here, we propose a novel graph neural network (GNN)-based model, named KG4SL, by incorporating knowledge graph (KG) message-passing into SL … WebJul 1, 2024 · A new version of the SynLethDB database is presented to facilitate the discovery of clinically relevant SLs and more related knowledge, extended significantly by including new SLs identified through CRISPR screening, a knowledge graph about human SLs, and new web interface. 4 PDF View 1 excerpt

WebJul 12, 2024 · 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...

WebDec 28, 2024 · and knowledge graph browsing through a dynamic graph viewer. The data can be downloaded directly from the website or through the RESTful APIs. The database … cct texasWebGitHub - JieZheng-ShanghaiTech/PiLSL: PiLSL is a pairwise interaction learning-based graph neural network (GNN) model for prediction of synthetic lethality (SL) as anti-cancer drug targets. It learns the representation of pairwise interaction between two genes from a knowledge graph (KG). JieZheng-ShanghaiTech PiLSL main 1 branch 0 tags 6 commits cct therashieldWebPredicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network Annu Int Conf IEEE Eng Med Biol Soc. 2024 Nov;2024:1731-1734. doi: 10.1109/EMBC46164.2024.9630716. Authors Mincai Lai , Guangyao Chen , Haochen Yang , Jingkang Yang , Zhihao Jiang , Min Wu , Jie Zheng PMID: 34891621 DOI: … butchers dunedinWebJul 12, 2024 · Based on a biomedical knowledge graph (KG) named SynLethKG (Wang et al., 2024), KG4SL (Wang et al., 2024) samples a subgraph around each gene in the KG and … butchers dudley newcastleWebSep 18, 2024 · 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 affect the cell viability. It can effectively expand the range of anti-cancer therapeutic targets. cctt fluke trainingWebDec 19, 2014 · 2 Synthetic Lethality and Its Application in Cancer Research. The concept of synthetic lethality describes genetic interaction between two genes such that one … butchers dunstableWebDec 1, 2024 · Experimentally, synthetic lethality is determined primarily by identifying gene pairs whose simultaneous disruption causes organism death. Before the discovery of RNAi, SL screens primarily employed chemical compounds or model organisms, such as yeast. butchers duncan bc