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    <responseDate>2026-10-16T08:43:06Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/yy7hxp5td4.1</identifier>
                <datestamp>2020-11-20T13:56:40Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Liang, Ying</dc:creator>
    <dc:title>Arsenic Trioxide Rescues Structural p53 Mutations through a Cryptic Allosteric Site</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>TP53 is the most frequently mutated gene in cancer, yet these mutations remain therapeutically non-actionable. Major challenges in drugging p53 mutations include heterogeneous mechanisms of inactivation and the absence of broadly-applicable allosteric sites. Here we report the identification of small molecules including arsenic trioxide (ATO), an established agent in treating acute promyelocytic leukemia, as cysteine-reactive compounds that rescue structural p53 mutations. Crystal structures of arsenic-bound p53 mutants reveal a cryptic allosteric site involving three arsenic coordinating cysteines within the DNA-binding domain, distal to the zinc-binding site. Arsenic binding stabilizes the DNA-binding loop-sheet-helix motif alongside the overall β-sandwich fold, endowing p53 mutants with thermostability and transcriptional activity. In cellular and mouse xenograft models, ATO reactivates mutant p53 for tumor suppression. Investigation of the most frequent twenty-five p53 mutations informs patient stratification for clinical exploration. Our results provide mechanistic basis for repurposing ATO to target p53 mutations for widely-applicable yet personalized cancer therapies.</dc:description>
    <dc:subject>Drug Discovery</dc:subject>
    <dc:subject>Crystallography</dc:subject>
    <dc:subject>Structural Biology</dc:subject>
    <dc:subject>Tumor Suppressor Protein</dc:subject>
    <dc:subject>Transcription Factor</dc:subject>
    <dc:subject>Targeted Therapy</dc:subject>
    <dc:subject>Arsenic</dc:subject>
    <dc:subject>P53</dc:subject>
    <dc:contributor>Chen, Shuo</dc:contributor>
    <dc:contributor>Wu, Jia-Le</dc:contributor>
    <dc:contributor>Tang, Yi-Gang</dc:contributor>
    <dc:contributor>Song, Hua-Xin</dc:contributor>
    <dc:contributor>Wu, Li-Li</dc:contributor>
    <dc:contributor>Xing, Yang-Fei</dc:contributor>
    <dc:contributor>Yan, Ni</dc:contributor>
    <dc:contributor>Li, Yun-Tong</dc:contributor>
    <dc:contributor>Wang, Zheng-Yuan</dc:contributor>
    <dc:contributor>Xiao, Shu-Jun</dc:contributor>
    <dc:contributor>Lu, Xin</dc:contributor>
    <dc:contributor>Chen, Sai-Juan</dc:contributor>
    <dc:contributor>Lu, Min</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/yy7hxp5td4.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/yy7hxp5td4.1</dc:identifier>
    <dc:rights>Attribution-NonCommercial 3.0 Unported</dc:rights>
    <dc:rights>https://creativecommons.org/licenses/by-nc/3.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/yy7hxp5td4</dc:relation>
    <dc:date>2020-11-20T13:56:40Z</dc:date>
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