Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab500
Abstract: MicroRNAs (miRNAs) play crucial roles in multiple biological processes and human diseases and can be considered as therapeutic targets of small molecules (SMs). Because biological experiments used to verify SM-miRNA associations are time-consuming and expensive,… read more here.
Keywords: matrix; dual network; mirna associations; matrix factorization ... See more keywords
MicroRNA-small molecule association identification: from experimental results to computational models
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DOI: 10.1093/bib/bby098
Abstract: Small molecule is a kind of low molecular weight organic compound with variety of biological functions. Studies have indicated that small molecules can inhibit a specific function of a multifunctional protein or disrupt protein-protein interactions… read more here.
Keywords: molecule; small molecule; small molecules; molecule mirna ... See more keywords
Prediction of potential small molecule−miRNA associations based on heterogeneous network representation learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.1079053
Abstract: MicroRNAs (miRNAs) are closely associated with the occurrences and developments of many complex human diseases. Increasing studies have shown that miRNAs emerge as new therapeutic targets of small molecule (SM) drugs. Since traditional experiment methods… read more here.
Keywords: small molecule; network; mirna associations; smma hnrl ... See more keywords
Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2022.1009099
Abstract: The accurate prediction of potential associations between microRNAs (miRNAs) and small molecule (SM) drugs can enhance our knowledge of how SM cures endogenous miRNA-related diseases. Given that traditional methods for predicting SM-miRNA associations are time-consuming… read more here.
Keywords: graph convolutional; network; mirna associations; layer attention ... See more keywords