Suppr超能文献

致癌性PI3K脂质激酶变体在细胞膜上的作用机制及其隐秘口袋。

The mechanism of oncogenic PI3K lipid kinase variants at the membrane and their cryptic pockets.

作者信息

Jang Hyunbum, Yavuz Bengi Ruken, Zhang Mingzhen, Liu Yonglan, Nussinov Ruth

机构信息

Computational Structural Biology Section, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, U.S.A.

Cancer Innovation Laboratory, National Cancer Institute at Frederick, Frederick, MD 21702, U.S.A.

出版信息

bioRxiv. 2025 Jun 29:2025.06.26.661751. doi: 10.1101/2025.06.26.661751.

Abstract

The emergence of cancer requires at least two mutations. The mutational profiles of cancer-prone alleles often include hotspot mutations. A cancer hotspot combined with a weak/moderate mutation can result in significant deviation from hotspot-only variants, suggesting a graded clinical phenotypic spectrum. PI3Kα variants can carry both oncogenic mutations and mutations associated with benign tumors and neurodevelopmental disorders. Statistics on same-allele double mutations and their single components in PI3Kα support the "one-two punch" cancer emergence hypothesis, in which cancer hotspots can pair with low-frequency, weak or moderate mutations. Atomistic MD simulations revealed expanded conformational profiles of PI3Kα variants with single and double mutations. The combination of hotspot and weak (moderate) mutations shifts the population of the conformational ensembles toward the active form, which has a more pronounced effect than a single mutation. Observable, potentially drug-targetable cryptic pockets are mutation-specific. discovery of cryptic pockets by simulations can facilitate AI-aided virtual drug screening. A single drug may not be effective against PI3Kα variants with different conformational spectra. We propose combination of allosteric drugs with conformational selection strategy for PI3Kα variants with graded conformational spectrum, particularly those bearing strong double mutations, and we identified such allosteric potential co-existing pockets in double mutants.

摘要

癌症的发生至少需要两个突变。易患癌症等位基因的突变谱通常包括热点突变。一个癌症热点与一个弱/中度突变相结合,可能导致与仅含热点突变的变体有显著差异,这表明存在一个分级的临床表型谱。PI3Kα变体可能同时携带致癌突变以及与良性肿瘤和神经发育障碍相关的突变。对PI3Kα中同一位点双突变及其单一组分的统计支持了“一拳接一拳”的癌症发生假说,即癌症热点可以与低频、弱或中度突变配对。原子分子动力学模拟揭示了具有单突变和双突变的PI3Kα变体的扩展构象谱。热点突变与弱(中度)突变的组合使构象集合的群体向活性形式转变,这比单一突变具有更显著的效果。可观察到的、潜在可作为药物靶点的隐秘口袋具有突变特异性。通过模拟发现隐秘口袋有助于人工智能辅助的虚拟药物筛选。单一药物可能对具有不同构象谱的PI3Kα变体无效。我们建议针对具有分级构象谱的PI3Kα变体,特别是那些携带强双突变的变体,采用变构药物与构象选择策略相结合的方法,并且我们在双突变体中确定了这种变构潜在共存口袋。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d019/12262658/de8a75b74bf1/nihpp-2025.06.26.661751v1-f0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验