<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Kim AR</submitter><funding>NCI NIH HHS</funding><funding>NIAMS NIH HHS</funding><funding>NIGMS NIH HHS</funding><pubmed_abstract>Protein kinases orchestrate cellular processes through phosphorylation, yet the structural basis for their specific binding partner interactions remains largely unmapped. Here, we present a structure-guided atlas of the human and &lt;i>Drosophila&lt;/i> kinome, built by applying a new interface-aware scoring framework (iLIS) to AlphaFold-Multimer predictions. The resulting atlas recapitulates hallmark sequence preferences, confirms previously reported and functionally related protein-protein interactions, and uncovers unrecognized docking interactions. Notably, our analysis predicts a potentially widespread docking motif on homeodomain transcription factors that mediates interactions with basophilic kinases. Furthermore, we map putative allosteric interaction hotspots across the kinome and provide proof-of-concept evidence that targeting these surfaces can inhibit kinase activity. Finally, we demonstrate the physiological utility of the atlas by identifying a novel regulatory mechanism between Sgg/GSK3 and Hnf4 that controls lipid metabolism &lt;i>in vivo&lt;/i>. This resource provides a blueprint for dissecting signaling networks and for the rational design of docking-site-specific kinase modulators.</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2025.10.10.681672</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12632555</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A Structure-Guided Kinase-Transcription Factor Interactome Atlas Reveals Docking Landscapes of the Kinome.</pubmed_title><pmcid>PMC12632555</pmcid><funding_grant_id>R01 AR057352</funding_grant_id><funding_grant_id>P41 GM132087</funding_grant_id><funding_grant_id>R35 CA197588</funding_grant_id><funding_grant_id>P01 CA117969</funding_grant_id><funding_grant_id>P01 CA120964</funding_grant_id><pubmed_authors>Johnson JL</pubmed_authors><pubmed_authors>Hu Y</pubmed_authors><pubmed_authors>Perrimon N</pubmed_authors><pubmed_authors>Kim AR</pubmed_authors><pubmed_authors>Cantley LC</pubmed_authors><pubmed_authors>Huang K</pubmed_authors><pubmed_authors>Yaron-Barir TM</pubmed_authors><pubmed_authors>Wang K</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Structure-Guided Kinase-Transcription Factor Interactome Atlas Reveals Docking Landscapes of the Kinome.</name><description>Protein kinases orchestrate cellular processes through phosphorylation, yet the structural basis for their specific binding partner interactions remains largely unmapped. Here, we present a structure-guided atlas of the human and &lt;i>Drosophila&lt;/i> kinome, built by applying a new interface-aware scoring framework (iLIS) to AlphaFold-Multimer predictions. The resulting atlas recapitulates hallmark sequence preferences, confirms previously reported and functionally related protein-protein interactions, and uncovers unrecognized docking interactions. Notably, our analysis predicts a potentially widespread docking motif on homeodomain transcription factors that mediates interactions with basophilic kinases. Furthermore, we map putative allosteric interaction hotspots across the kinome and provide proof-of-concept evidence that targeting these surfaces can inhibit kinase activity. Finally, we demonstrate the physiological utility of the atlas by identifying a novel regulatory mechanism between Sgg/GSK3 and Hnf4 that controls lipid metabolism &lt;i>in vivo&lt;/i>. This resource provides a blueprint for dissecting signaling networks and for the rational design of docking-site-specific kinase modulators.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-10T03:13:32.005Z</modification><creation>2026-06-10T03:07:44.35Z</creation></dates><accession>S-EPMC12632555</accession><cross_references><pubmed>41279736</pubmed><doi>10.1101/2025.10.10.681672</doi></cross_references></HashMap>