Post by geneXplain

Name: The classic activator–repressor model helped explain gene regulation for decades. But in systems bio
Uploaded: 2026-06-21T16:28:53.972Z
Channel: geneXplain
Description: The classic activator–repressor model helped explain gene regulation for decades. But in systems biology, this binary framework is no longer enough. Regulatory meaning does not come from an isolated t

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The classic activator–repressor model helped explain gene regulation for decades. But in systems biology, this binary framework is no longer enough. Regulatory meaning does not come from an isolated transcription factor label. It emerges from binding sites, motif clusters, composite modules, enhancer grammar, cooperative interactions, and cellular context. This matters for how we interpret ChIP-seq data, perform promoter analysis, infer upstream regulators, and train AI models to learn regulatory logic. If we encode static polarity into biological models, our conclusions inherit that simplification and the error propagates silently. Learn more about us at: www.genexplain.com Our tools and databases: https://lnkd.in/emCQ4itc #GeneRegulation #TRANSFAC #Bioinformatics #AIinBiology

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