ArticlebioRxiv : the preprint server for biology2025
Multimodal learning decodes the global binding landscape of chromatin-associated proteins.
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Chromatin-associated proteins (CAPs), including over 1,600 transcription factors, bind directly or indirectly to the genomic DNA to regulate gene expression and determine a myriad of cell types. Mapping their genome-wide binding and co-binding landscape is essential towards a mechanistic understanding of their functions in gene regulation and resulting cellular phenotypes. However, due to the lack of techniques that effectively scale across proteins and biological samples, their genome-wide binding profiles remain challenging to obtain, particularly in primary cells. Here we present Chromnitron, a multimodal foundation model that accurately predicts CAP binding landscapes across hundreds of proteins in unseen cell types. Via
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