Prediction of lead compounds of radioprotectants based on radioprotective gene sets

Objective: To evaluate the radioprotective activity of compounds by proposing a new algorithm based on the transcriptome data from the Library of Integrated Network-based Cellular Signatures (LINCS) program, and to find lead compounds of radioprotective drugs. Methods: Based on the gene ontology (GO) website, radioprotective gene sets were constructed and an algorithm for estimating the radioprotective potential of the compound was formulated based on the gene set enrichment analysis algorithm so as to predict the lead compounds of radioprotective drugs. Results: Four radioprotective gene sets were established, and a new method for predicting radioprotective lead compounds using transcriptome data was established. Among the 32560 small molecule compounds, 299 radioprotective lead compounds were found, 17 of which had been reported to be resistant to radiation damage. Conclusion: The prediction results are of good referential value, and the prediction method has the advantages of high speed, low cost and effective discovery of compounds with radioprotective activity. (authors)