FIGURE

Fig. 3

ID

ZDB-FIG-241030-3

Publication

Galeano et al., 2024 - sChemNET: a deep learning framework for predicting small molecules targeting microRNA function

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Fig. 3

sChemNET prediction performance evaluation on mouse and rat miRNAs.a Small molecule and miRNA set for mammalian model organisms (Mus musculus and Rattus norvergicus) were combined with those available for Homo sapiens for training sChemNET for predicting small molecule-miRNA associations available for these organisms. Silhouettes of model organisms were obtained from https://www.phylopic.org/. b The percentage of bioactive small molecules correctly retrieved from the test set for different numbers of small molecules retrieved by each method under a leave-one-out cross validation procedure. Only chemically dissimilar instances were considered between training and testing sets (Tanimoto chemical similarity <0.6). (Left) Recall obtained for 272 small molecule-miRNA associations for 43 miRNAs from Mus musculus; (Right) Recall obtained for 78 small molecule-miRNA associations for 13 miRNAs from Rattus norvergicus. For the boxplots the center line represents the median and the lines extending from both ends of the box indicate the quartile (Q) variability outside Q1 and Q3 to the minimum and maximum values. The notch represents the 95% confidence interval of the median.

Expression Data

Expression Detail

Antibody Labeling

Phenotype Data

Phenotype Detail

Acknowledgments

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