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A host-derived volatile primes context-dependent foraging behavior in parasitic nematodes via a lysosome-associated neural pathway 宿主衍生的挥发物通过溶酶体相关的神经通路启动寄生线虫的环境依赖觅食行为
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2520778123
Sheng-Yen Wu, Yan Zhao, Yuntao Yang, Fanxi Tang, Yixuan Li, Jinju Xu, Honghong Deng, Youming Hou
Entomopathogenic nematodes (EPNs) are valued for sustainable pest control, yet their efficacy hinges on matching foraging behavior to host ecology. The nematode Steinernema carpocapsae , long regarded as an ambusher, paradoxically infects the cryptic red palm weevil ( Rhynchophorus ferrugineus ), which resides deep in plant tissue. Here, we show that this contradiction stems from a context-dependent modulation of foraging-related behaviors, triggered by butylated hydroxytoluene (BHT)—a host-derived volatile emitted by R. ferrugineus larvae. BHT functions as a potent behaviorally active volatile, increasing locomotion, jumping, host attraction, and infection success in S. carpocapsae . Mechanistically, BHT engages a lysosome-associated signaling pathway involving mfsd8 , SLC17A5 , and ptr . Knockdown of these genes disrupted BHT-induced behavioral changes, supporting their functional involvement. Our findings extend existing context-dependent models of nematode foraging by providing mechanistic insight into chemically induced behavioral modulation. This work opens possibilities for improving EPN biocontrol efficacy via ecological or molecular priming.
昆虫病原线虫(EPNs)在害虫的可持续防治中具有重要价值,但其效果取决于其觅食行为与宿主生态的匹配。长期以来被认为是“伏击者”的carpocapsae线虫,矛盾地感染了潜伏在植物组织深处的红棕榈象鼻虫(Rhynchophorus ferrugineus)。在这里,我们发现这种矛盾源于对觅食相关行为的环境依赖调节,由丁基羟基甲苯(BHT)触发,BHT是铁螯虾幼虫释放的一种宿主衍生的挥发物。BHT是一种有效的行为活性挥发物,可以增加辣椒的运动、跳跃、吸引宿主和感染成功率。从机制上讲,BHT参与溶酶体相关的信号通路,包括mfsd8、SLC17A5和ptr。敲低这些基因会破坏bht诱导的行为改变,支持它们的功能参与。我们的发现通过提供化学诱导行为调节的机理,扩展了现有的线虫觅食环境依赖模型。这项工作为通过生态或分子启动提高EPN生物防治效果开辟了可能性。
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引用次数: 0
Unraveling hidden symmetry breaking in racemic compounds 揭示外消旋化合物中隐藏的对称性破缺
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2531804123
Weihao Wang, Fangyi Chen, Zhenghong Chen, Yutong Sun, Feng Liu, Shaodong Zhang
Racemic compounds, consisting of an equimolar mixture of enantiomers in crystalline form, are conventionally regarded as fully symmetric and are often dismissed as a trivial phenomenon due to their abundance—as they account for a substantial fraction (90 to 95%) of entries in structural databases. Here, we uncover the symmetry-breaking hierarchical organization within racemic compounds: single-handed molecules first self-assemble into homochiral domains, which then periodically self-organize with domains of opposite chirality to form the final crystal. Using a folded-plane model by applying isometry, we introduce a quantitative descriptor (angle θ ) to probe symmetry breaking in racemic compounds, directly derived from crystal symmetry and unit cell parameters. We further develop a big-data analysis tool based on coset decomposition (a method of group theory) to comprehensively examine structural data from Cambridge Structural Database. Our analysis confirms the widespread occurrence of symmetry breaking in racemic compounds. This finding challenges the traditional view of racemic crystals as inherently symmetric, revealing their hidden complexity and potential implications for crystallography, materials science, and so on.
外消旋化合物是由晶体形式的对映异构体组成的等摩尔混合物,通常被认为是完全对称的,由于它们的丰度,通常被认为是一个微不足道的现象,因为它们占结构数据库中条目的很大一部分(90至95%)。在这里,我们揭示了外消旋化合物中对称性破坏的层次组织:单手分子首先自组装成同手性结构域,然后周期性地与相反手性结构域自组织形成最终晶体。利用等距法建立的折叠平面模型,我们引入了一个定量描述子(角θ)来探测外消旋化合物的对称性破缺,该描述子直接从晶体对称性和单位胞参数中导出。我们进一步开发了基于协集分解(一种群论方法)的大数据分析工具,对剑桥结构数据库中的结构数据进行综合分析。我们的分析证实了外消旋化合物中普遍存在的对称性破缺。这一发现挑战了外消旋晶体固有对称的传统观点,揭示了它们隐藏的复杂性和对晶体学、材料科学等领域的潜在影响。
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引用次数: 0
Profile of Qiang Fu 强府简介
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2601483123
Tinsley H. Davis
Atmospheric scientist Qiang Fu uses satellite observations, numerical simulations, and theoretical analysis to investigate how changes across different layers of the atmosphere—and their circulation—are linked to climate change. Early in his career, Fu advanced the understanding and modeling of radiative transfer in Earth’s atmosphere. His recent research centers on stratosphere–troposphere exchanges of air masses and chemical species. In his Inaugural Article Fu, elected to the National Academy of Sciences in 2024, uses satellite observations to track methane loss from the stratosphere and shows that models underestimate the loss of this greenhouse gas.
大气科学家傅强利用卫星观测、数值模拟和理论分析来研究大气不同层之间的变化及其环流与气候变化之间的关系。在他的职业生涯早期,傅推进了对地球大气辐射传输的理解和建模。他最近的研究集中在平流层-对流层的气团交换和化学物质。傅于2024年当选为美国国家科学院院士,在他的就职文章中,他使用卫星观测来追踪平流层的甲烷损失,并表明模型低估了这种温室气体的损失。
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引用次数: 0
Profile of Emily E. Brodsky 艾米丽·e·布罗茨基的侧写
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2603284123
Tinsley H. Davis
To study the interplay of mechanical stress and strain in faults, seismologist Emily Brodsky looks for earthquakes with a known trigger, such as a volcano or injection of underground wastewater. These triggers help explain how a fault breaks. Brodsky examines the other parts of the equation by taking the temperature of faults. Brodsky also carries out lab experiments. For example, her acoustical studies have offered insights into the forces at play when fast-moving sand particles behave more like a gas than like a solid. Insights from both approaches inform her Inaugural Article, which suggests that earthquakes not only relieve stress along a fault but also redistribute it.
为了研究断层中机械应力和应变的相互作用,地震学家艾米丽·布罗茨基(Emily Brodsky)寻找具有已知触发因素的地震,比如火山爆发或地下废水的注入。这些触发因素有助于解释断层是如何断裂的。布罗茨基通过测量断层的温度来检验这个方程的其他部分。布罗茨基也进行实验室实验。例如,她的声学研究为快速移动的沙粒表现得更像气体而不是固体时的作用力提供了见解。这两种方法的见解为她的就职文章提供了信息,这篇文章表明,地震不仅缓解了断层的压力,而且还重新分配了断层。
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引用次数: 0
Cryo-EM structure of locked spike glycoprotein from bat SARS-like coronavirus WIV1, molecular dynamics and biophysics across host range 蝙蝠sars样冠状病毒WIV1锁定尖峰糖蛋白的低温电镜结构、分子动力学和跨宿主范围的生物物理学
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2516874123
Chuan Liu, Jingjing Zheng, Yuhan Wang, Florian Beck, István Nagy, Stefan Bohn, Jürgen M. Plitzko, Wolfgang Baumeister, Xiaoxiao Zhang, Liping Sun, Luca Zinzula
As made evident by severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and SARS-CoV-2 pandemics, the possibility of a SARS-like coronavirus (SL-CoV) emerging again in humankind after zoonotic spillover represents a significant global health threat. Given the role of spike (S) glycoprotein in mediating SL-CoV cell entry and cross-species transmission, there remains urgent need of structural information on SL-CoV S to guide therapeutic countermeasure development. Among SL-CoVs, bat-derived WIV1 is capable of using as receptor the angiotensin converting enzyme 2 (ACE2) from a variety of mammals, thereby representing a prototype model for studying SL-CoV precursors to future pandemics. We present a WIV1 S cryo-EM structure in prefusion state which reveals molecular signatures reminiscent of the tightly-packed locked-1 conformation described for SARS-CoV-1 and SARS-CoV-2. To decipher the molecular basis for bat SL-CoV WIV1 host range tropism, we performed molecular dynamics (MD) simulations of WIV1 S-ACE2 interaction across reservoir bat, potentially intermediate hosts civet, raccoon dog and pangolin, and accidental human hosts. We found that, in all interactions, upon complex formation with ACE2, the linoleic acid responsible for locking the S receptor binding domain (RBD) dynamically persists in its binding pocket, however repositioning to potentially unlock the system. Complex formation between WIV1 S-RBD and ACE2 from different hosts was characterized in vitro by mass photometry and microscale thermophoresis, revealing that interaction is stronger with ACE2 from bat and human than other hosts, within the latter stronger for the Thr92Ile polymorphism correlated to higher SARS-CoV-2 infection susceptibility. These findings provide critical insights with crucial implications for pandemic preparedness.
正如严重急性呼吸综合征冠状病毒1型(SARS-CoV-1)和SARS-CoV-2大流行所表明的那样,人畜共患外溢后,类sars冠状病毒(SL-CoV)再次在人类中出现的可能性对全球健康构成重大威胁。鉴于刺突(S)糖蛋白在介导SL-CoV进入细胞和跨物种传播中的作用,迫切需要SL-CoV S的结构信息来指导治疗对策的开发。在SL-CoV中,蝙蝠衍生的WIV1能够使用来自多种哺乳动物的血管紧张素转换酶2 (ACE2)作为受体,从而代表了研究SL-CoV未来大流行前体的原型模型。我们提出了预融合状态下的WIV1 S低温电镜结构,其显示的分子特征使人想起SARS-CoV-1和SARS-CoV-2中描述的紧密排列的锁定-1构象。为了揭示蝙蝠SL-CoV WIV1宿主范围趋向性的分子基础,我们对水库蝙蝠、可能的中间宿主果子狸、貉和穿山甲以及偶然的人类宿主之间的WIV1 S-ACE2相互作用进行了分子动力学(MD)模拟。我们发现,在与ACE2形成复合物的所有相互作用中,负责锁定S受体结合域(RBD)的亚油酸动态地持续存在于其结合口袋中,然而重新定位以潜在地解锁系统。采用质谱法和微尺度热电泳技术对WIV1 S-RBD与来自不同宿主的ACE2复合物的形成进行了表征,结果表明,WIV1 S-RBD与来自蝙蝠和人类的ACE2的相互作用强于其他宿主,后者中与SARS-CoV-2感染易感性相关的Thr92Ile多态性更强。这些发现提供了对大流行防范具有重要意义的重要见解。
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引用次数: 0
Enhanced screening via a pure DNA-encoded peptide library enabled by an Fmoc modification 通过Fmoc修饰的纯dna编码肽库增强筛选
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2524999123
Qiujin He, Yanhui Wang, Xiyuan Tang, Jianwei Zhang, Yuyu Xing, Zhaoyun Zong, Mohamed A. Elhamouly, Kaixian Chen, Shiyu Chen
Peptide-based molecules have widespread therapeutic applications due to their potent binding affinity and relative metabolic safety. Peptide therapeutics are developed using library screening that samples a diverse chemical space within primary sequences and secondary structural conformations. DNA-encoded peptide libraries (PDELs) are ideal for the development of peptide-based therapeutics as novel building blocks, and diverse chemical modifications are easily incorporated. However, current PDEL construction is limited by precipitation-based purification, which constrains libraries to three or four building blocks in length due to decreasing quality with each synthetic step. Herein, we developed a solid-phase capture-based purification method to generate longer PDELs with increased purity. We modified the conventional Fmoc protecting group with an azido handle to introduce click chemistry for selective immobilization during purification. Using this method, we achieved >95% purity in the synthesis of a five-round PDEL that showed great efficiency in identifying high nanomolar binders against transferrin receptor protein 1. This work delivers a scalable and robust platform for generating high-quality, noncanonical peptide libraries, which marks a major breakthrough in peptide-based drug discovery.
肽基分子由于其强大的结合亲和力和相对的代谢安全性而具有广泛的治疗应用。肽疗法是利用文库筛选开发的,文库筛选在初级序列和二级结构构象中取样不同的化学空间。dna编码的肽库(PDELs)是开发基于肽的治疗方法的理想选择,是一种新的构建模块,多种化学修饰很容易结合。然而,目前的PDEL构建受到基于沉淀的纯化的限制,由于每个合成步骤的质量下降,它将文库的长度限制在三到四个构建块。在此,我们开发了一种基于固相捕获的纯化方法,以提高纯度产生更长的PDELs。我们将传统的Fmoc保护基团改造为一个叠氮手柄,在纯化过程中引入点击化学进行选择性固定。使用这种方法,我们合成的五轮PDEL纯度达到95%,该PDEL在鉴定针对转铁蛋白受体蛋白1的高纳摩尔结合物方面表现出很高的效率。这项工作提供了一个可扩展和强大的平台,用于生成高质量的非规范肽库,这标志着基于肽的药物发现的重大突破。
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引用次数: 0
Oncogenic function and transcriptional dynamics of MYCN in liver tumorigenesis MYCN在肝脏肿瘤发生中的致癌功能和转录动力学
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2521923123
Xian-Yang Qin, Yali Xu, Hricha Mishra, Yohei Shirakami, Shiou-Hwei Yeh, Chiao-Ling Li, Kazushi Numata, Yusuke Suenaga, Feifei Wei, Reiko Ando, Hajime Nishimura, Erina Furuhata, Shiori Maeda, Yutaka Furutani, Kaori Yanaka, Masahiro Yamamoto, Masanori Goto, Akira Takasawa, Yuji Nishikawa, Hiroyuki Tomita, Luc Gailhouste, Tomokazu Matsuura, Pei-Jer Chen, Masahito Shimizu, Yoshitaka Hippo, Harukazu Suzuki
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. It is often diagnosed at advanced stages and characterized by high recurrence rates. Although chronic liver inflammation and metabolic dysfunction are established contributors to tumorigenesis, the molecular mechanisms that link microenvironmental stress to malignant transformation remain poorly understood. MYCN, a proto-oncogenic transcription factor, has emerged as a potential biomarker of cancer stemness. However, its role in hepatocarcinogenesis remains unclear. In this study, we elucidated the oncogenic role of MYCN and its dynamic transcriptional regulation during liver tumorigenesis. Using a hydrodynamic tail vein injection-based transposon system in mice, we demonstrated that MYCN overexpression synergizes with AKT activation to promote liver tumorigenesis. Transcriptomic profiling revealed that MYCN-driven tumors exhibited features of human HCC subtypes enriched in stress-adaptive transcriptional programs. Time-resolved spatial transcriptomics further uncovered a MYCN-enriched niche characterized by epithelial–mesenchymal transition (EMT) and Wnt/β-catenin signaling, which expanded during tumor progression and was spatially proximate to transformed malignant cells. To translate these findings to human HCC, we developed a machine learning-based MYCN niche score and validated its clinical relevance across multiple human HCC cohorts. This score reliably predicted recurrence risk and identified EMT-prone microenvironments, with stronger predictive performance in nontumor tissues, suggesting its potential in detecting precancerous niches predisposed to de novo tumorigenesis. Collectively, our findings establish MYCN as a functional driver and spatial marker of tumor-promoting microenvironments in liver tumorigenesis; additionally, we propose a clinically actionable strategy to identify high-risk patients through transcriptomic profiling of nontumor liver tissue.
肝细胞癌(HCC)是癌症相关死亡的主要原因。它通常在晚期被诊断出来,其特点是高复发率。虽然慢性肝脏炎症和代谢功能障碍是肿瘤发生的确定因素,但微环境应激与恶性转化之间的分子机制仍然知之甚少。MYCN是一种原致癌转录因子,已成为癌症干细胞的潜在生物标志物。然而,其在肝癌发生中的作用仍不清楚。在这项研究中,我们阐明了MYCN在肝脏肿瘤发生中的致癌作用及其动态转录调控。利用小鼠尾静脉注射的水动力转座子系统,我们证明MYCN过表达与AKT激活协同促进肝脏肿瘤发生。转录组学分析显示,mycn驱动的肿瘤表现出富含应激适应性转录程序的人类HCC亚型的特征。时间分辨的空间转录组学进一步揭示了一个以上皮-间质转化(EMT)和Wnt/β-catenin信号传导为特征的mycn富集生态位,该生态位在肿瘤进展过程中扩大,在空间上接近转化的恶性细胞。为了将这些发现转化为人类HCC,我们开发了一种基于机器学习的MYCN利基评分,并在多个人类HCC队列中验证了其临床相关性。该评分可靠地预测了复发风险并确定了emt易发微环境,在非肿瘤组织中具有更强的预测性能,表明其在检测易发生新发肿瘤的癌前小生境方面具有潜力。总之,我们的研究结果表明,MYCN是肝脏肿瘤发生中肿瘤促进微环境的功能驱动因素和空间标记物;此外,我们提出了一种临床可行的策略,通过非肿瘤肝组织的转录组学分析来识别高风险患者。
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引用次数: 0
Place cells in CA1 lack topographical organization of firing locations CA1中的位置细胞缺乏放电位置的地形组织
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2528601123
Torstein Slettmoen, Nienke L. de Jong, Hanna Eneqvist, Emilie R. Skytøen, Weijian Zong, May-Britt Moser, Edvard I. Moser
Topography is a well-described and well-known concept for cortical organization in primary sensory and motor cortices of mammalian brains. Similar isomorphic mapping of the environment is absent in most higher association areas such as the hippocampus; however, some studies have suggested that in hippocampal regions spatially tuned cells may be organized in small anatomical clusters with similar firing field locations. Here, we take advantage of the high spatial resolution provided by two-photon calcium imaging to probe the extent of local functional clustering of hippocampal place cells in freely moving mice. Almost one thousand highly packed CA1 neurons were recorded simultaneously per mouse while they foraged freely in open arenas. Among pairs of place cells, there was no relation between preferred firing position and anatomical proximity. Firing fields were no more similar for nearest neighbors than distant cell pairs. When place cells remapped between different arenas, there was no tendency for correlations in one environment to be transferred to the other. A similar lack of relationship between function and anatomical position was expressed in CA1 cells with firing fields tuned to local objects in the environment. The findings suggest that the encoding of location in CA1 place cells is likely fully nontopographical.
地形是哺乳动物大脑初级感觉皮层和运动皮层组织中一个被很好地描述和熟知的概念。类似的环境同构映射在大多数高级关联区域如海马体中是不存在的;然而,一些研究表明,在海马体区域,空间调谐的细胞可能被组织成具有相似放电场位置的小解剖簇。在这里,我们利用双光子钙成像提供的高空间分辨率来探测自由运动小鼠海马位置细胞局部功能聚集的程度。当每只小鼠在开放场所自由觅食时,同时记录了近1000个高度密集的CA1神经元。在位置细胞对中,首选放电位置与解剖接近度没有关系。近邻的放电场并不比远处的细胞对更相似。当位置细胞在不同区域之间重新定位时,没有将一种环境中的相关性转移到另一种环境的趋势。在CA1细胞中也表达了类似的功能与解剖位置之间缺乏关系的情况,CA1细胞的放电场可调谐到环境中的局部物体。研究结果表明,CA1位置细胞的位置编码可能完全是非地形性的。
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引用次数: 0
CDKL5 modulates the plasticity of excitatory synapses via liquid–liquid phase separation CDKL5通过液-液相分离调节兴奋性突触的可塑性
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2511123123
Mingjie Li, Ziai Zhu, Dan Li, Jinchao Wang, Mingjie Zhang, Qi-Wu Xu, Yu-Xian Zhang, Yongchuan Zhu, Jinwei Zhu, Zhi-Qi Xiong
Activity-dependent synaptic remodeling, essential for neural circuit plasticity, is orchestrated by central organizers within the postsynaptic density (PSD), including the scaffolding protein PSD95. However, the molecular mechanisms driving this process remain incompletely understood. Here, we identify cyclin-dependent kinase-like 5 (CDKL5), a protein associated with a severe neurodevelopmental condition known as CDKL5 deficiency disorder (CDD), as a critical regulator of structural plasticity at excitatory synapses. We show that CDKL5 undergoes liquid–liquid phase separation (LLPS) in vitro and in cultured neurons, forming cocondensates with PSD95. This LLPS-driven process spatially organizes synaptic components, specifically enabling the synaptic recruitment of Kalirin7 to promote dendritic spine enlargement. Pathogenic mutations disrupt condensate formation by impairing the LLPS capacity of CDKL5, directly linking phase separation defects to the pathogenesis of CDD. Our findings reveal a crucial role for CDKL5 in synaptic plasticity and establish LLPS as a fundamental mechanism by which CDKL5 coordinates molecular events to reorganize PSD architecture during synaptic remodeling.
活动依赖性突触重塑对神经回路的可塑性至关重要,它是由突触后密度(PSD)中的中枢组织者(包括支架蛋白PSD95)精心安排的。然而,驱动这一过程的分子机制仍然不完全清楚。在这里,我们确定了周期蛋白依赖性激酶样5 (CDKL5),一种与严重的神经发育疾病CDKL5缺乏性障碍(CDD)相关的蛋白质,作为兴奋性突触结构可塑性的关键调节因子。我们发现CDKL5在体外和培养的神经元中经历了液-液相分离(LLPS),与PSD95形成共凝物。这种llps驱动的过程在空间上组织突触成分,特别是使Kalirin7的突触募集促进树突脊柱扩大。致病性突变通过损害CDKL5的LLPS能力来破坏凝析物的形成,直接将相分离缺陷与CDD的发病机制联系起来。我们的研究结果揭示了CDKL5在突触可塑性中的关键作用,并确立了LLPS是CDKL5在突触重塑过程中协调分子事件重组PSD结构的基本机制。
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引用次数: 0
Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts 基于核磁共振化学位移的重加权精确的内在无序蛋白质的构象集合
IF 11.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-18 DOI: 10.1073/pnas.2518125123
Juhyeong Jeon, Wonjin Yang, Sangmin Park, Jin Hae Kim, Young-Ho Lee, Wookyung Yu
Intrinsically disordered proteins and protein regions (IDRs) underpin a wide range of vital biological processes but exhibit dynamic and heterogeneous conformations. Currently, many computational efforts seek to elucidate the conformational ensembles of these disordered proteins, yet most methods still struggle to fully capture their structural diversity. Here, we integrate structural libraries of various IDRs—derived from coarse-grained molecular dynamics (MD) simulations and machine learning models—with experimental chemical shifts obtained from NMR spectroscopy. Through a maximum entropy reweighting approach, we obtain reliable ensembles that more accurately reflect observed chemical shifts and reveal transient states. Our results highlight the importance of comprehensive sampling strategies for capturing diverse conformational states. Furthermore, we show that these weighted ensembles faithfully track conformational rearrangements under various conditions such as temperature, mutational effects, and environment, which are not fully captured by experiments alone. This approach provides a dataset encompassing each IDR’s specific structures along with their weights, offering a foundation for systematically exploring IDR structural landscapes, refining our understanding of their functional roles, and shedding light on processes related to misfolding and aggregation.
内在无序的蛋白质和蛋白质区域(IDRs)支持广泛的重要生物过程,但表现出动态和异质构象。目前,许多计算努力试图阐明这些无序蛋白质的构象集合,但大多数方法仍然难以完全捕获它们的结构多样性。在这里,我们将各种idr的结构库(来自粗粒度分子动力学(MD)模拟和机器学习模型)与从核磁共振光谱中获得的实验化学位移相结合。通过最大熵重加权方法,我们获得可靠的集合,更准确地反映观察到的化学位移和揭示瞬态。我们的研究结果强调了捕获不同构象态的综合采样策略的重要性。此外,我们表明,这些加权集合忠实地跟踪各种条件下的构象重排,如温度、突变效应和环境,这是单独的实验无法完全捕获的。这种方法提供了一个包含每个IDR特定结构及其权重的数据集,为系统地探索IDR结构景观提供了基础,完善了我们对其功能角色的理解,并揭示了与错误折叠和聚合相关的过程。
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引用次数: 0
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Proceedings of the National Academy of Sciences of the United States of America
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