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Multi-Modal Deep Learning Integrates Spatial Topologies and Sequential Motifs to Identify Class I HDAC Inhibitors as Pan-Cancer Therapeutics

2026-04-25

Abstract excerpt

The molecular characterization of human solid tumors has introduced immense genomic complexity and intra-tumoral diversification. Converting these detailed, multi-omic profiles right into workable, broad-spectrum therapeutics continues to be an formidable bottleneck in precision oncology. Traditional computational drug repurposing strategies largely rely on single-modality chemical descriptors, which frequently fa...

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Literature Corpus work
e1288c44-dc74-5f2b-b021-ab2f7de5abe8
DOI
10.64898/2026.04.22.720196
Open publication

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Multi-Modal Deep Learning Integrates Spatial Topologies and Sequential Motifs to Identify Class I HDAC Inhibitors as Pan-Cancer TherapeuticsDOI 10.64898/2026.04.22.720196
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