TRANSFAC Diseases includes the full functionality of TRANSFAC Pathways with the manually curated database of eukaryotic transcription factors, their genomic binding sites and DNA-binding profiles, as well as comprehensive knowledge base on signal transduction and metabolic pathways, and Gene-Disease-Drug-Clinical Trial assignments, disease biomarkers and drug targets.
Predict transcription factor binding sites and their combinations on a genomic scale using the biggest collection of positional weight matrices with in-built Machine Learning and Artificial Intelligence methods.
Access the biggest knowledge base on transcription factors, as well as genes regulated by them, their promoters, enhancers and silencers.
Perform multi-omics data analysis in the geneXplain platform integrated with TRANSFAC subscription.
Browse information on signal transduction and metabolic pathways, individual reactions with experimental details, protein-protein interactions and post-translational modifications.
Predict potential pathways targeting the genes of your interest.
Build customized regulatory and metabolic networks.
Apply integrated pathway visualization and modification tool.
Perform integrated promoter and pathway analysis for identification of prospective drug targets and biomarkers.
Automatically process multi-omics raw patient data and identify prospective drug targets and treatments predicted to be effective for the studied clinical case.
What you will get
A comprehensive solution for gene regulation analysis covering more than 300 species.
Access to the unique MATCH Suite tool for identification of transcription factors regulating the human gene(s) of your interest in the specified conditions.
Interactive search engine providing access to world’s largest manually curated encyclopedia of transcriptional regulation, signal transduction and metabolic pathways, protein-protein interactions, Gene-Disease-Drug-Clinical Trial assignments, disease biomarkers, drug targets, and drug-disease approval status.
Upstream Analysis – integrated promoter and pathway analysis.
Deep understanding of molecular mechanisms underlying the studied pathology.
Prospective treatments suggestions covering both: known and repurposed drugs for the studied pathology.
