<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Jones L</submitter><funding>NHLBI NIH HHS</funding><funding>NCI NIH HHS</funding><pubmed_abstract>Mutations activating RAS/RAF/MEK/ERK signaling are associated with poor outcome in acute myeloid leukemia (AML), but therapeutic targeting of this pathway is challenging. Here, we employ a structure-based, dynamic RAS pathway model to successfully predict RAF inhibitor (RAFi) combinations which synergistically suppress ERK signaling in &lt;i>RAS&lt;/i>-mutant AML. Our &lt;i>in silico&lt;/i> models predicted therapeutic synergy of two iterations of conformation-specific RAF inhibitors: Type I½ + Type II and Type I + Type II. Predictions were validated &lt;i>in vitro&lt;/i> in AML cell lines and patient samples, with synergy verified by the Loewe Additivity model. Lifirafenib (Type II) + encorafenib (Type I½) was highly synergistic against both &lt;i>NRAS&lt;/i>- and &lt;i>KRAS&lt;/i>-mutant lines, while synergy of lifir</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2025.04.29.651188</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12247986</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A structure-based modelling approach identifies effective drug combinations for RAS-mutant acute myeloid leukemia.</pubmed_title><pmcid>PMC12247986</pmcid><funding_grant_id>R01 HL171773</funding_grant_id><funding_grant_id>R01 CA244660</funding_grant_id><pubmed_authors>Bond J</pubmed_authors><pubmed_authors>Carmody C</pubmed_authors><pubmed_authors>Wynne K</pubmed_authors><pubmed_authors>Dias T</pubmed_authors><pubmed_authors>Kholodenko BN</pubmed_authors><pubmed_authors>Jones L</pubmed_authors><pubmed_authors>Imoto H</pubmed_authors><pubmed_authors>Rukhlenko O</pubmed_authors></additional><is_claimable>false</is_claimable><name>A structure-based modelling approach identifies effective drug combinations for RAS-mutant acute myeloid leukemia.</name><description>Mutations activating RAS/RAF/MEK/ERK signaling are associated with poor outcome in acute myeloid leukemia (AML), but therapeutic targeting of this pathway is challenging. Here, we employ a structure-based, dynamic RAS pathway model to successfully predict RAF inhibitor (RAFi) combinations which synergistically suppress ERK signaling in &lt;i>RAS&lt;/i>-mutant AML. Our &lt;i>in silico&lt;/i> models predicted therapeutic synergy of two iterations of conformation-specific RAF inhibitors: Type I½ + Type II and Type I + Type II. Predictions were validated &lt;i>in vitro&lt;/i> in AML cell lines and patient samples, with synergy verified by the Loewe Additivity model. Lifirafenib (Type II) + encorafenib (Type I½) was highly synergistic against both &lt;i>NRAS&lt;/i>- and &lt;i>KRAS&lt;/i>-mutant lines, while synergy of lifir</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 May</publication><modification>2025-08-23T03:09:09.017Z</modification><creation>2025-08-23T03:09:09.017Z</creation></dates><accession>S-EPMC12247986</accession><cross_references><pubmed>40654850</pubmed><doi>10.1101/2025.04.29.651188</doi></cross_references></HashMap>