Harmonizome 3.0

From DGIdb Drug Targets 2026

interacting proteins for the ST 638 drug from theDGIdb Drug Targets 2026 dataset.

From CMAP Signatures of Differentially Expressed Genes for Small Molecules

genes differentially expressed following the genistein-638 small molecule perturbation from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset.

From Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles

genes with high or low copy number in SNU-638 relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.

From Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles

genes with high or low expression in SNU-638 relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset.

From Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Mutation Profiles

genes mutated in the SNU-638 cell line from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Mutation Profiles dataset.

From MiRTarBase microRNA Targets

target genes of the hsa-miR-638 microRNA in low- or high-throughput microRNA targeting studies from the MiRTarBase microRNA Targets dataset.

From TargetScan Predicted Conserved microRNA Targets

target genes of the hsa-miR-638 microRNA predicted using conserved miRNA seed sequences from the TargetScan Predicted Conserved microRNA Targets dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue snu-638 cell in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TargetScan Predicted Nonconserved microRNA Targets

target genes of the hsa-miR-638 microRNA predicted using nonconserved miRNA seed sequences from the TargetScan Predicted Nonconserved microRNA Targets dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025

proteins co-occuring with the tissue SNU-638 cell in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset.