未折叠蛋白质应答

内质网是真核细胞中蛋白质合成、折叠与分泌的重要细胞器.细胞进化出一套完整的机制来监督和帮助内质网内蛋白质的折叠与修饰.而当错误折叠的蛋白质累积时,细胞通过一系列信号转导途径,对其进行应答,包括增强蛋白质折叠能力、停滞大多数蛋白质的翻译、加速蛋白质的降解等.如果内质网功能素乱持续,细胞将最终启动凋亡程序.这些反应被统称为未折叠蛋白质应答(unfolded protein response,UPR).UPR是多个信号转导通路的总称,包括IRE1-XBP1、PERK-ATF4以及ATF6等信号途径.除了应激条件外,UPR还被用于正常生理条件下的调节,例如胆固醇合成代谢的负反馈调控.     

基于集成分类器的蛋白质折叠模式识别

蛋白质折叠问题被列为"21世纪的生物物理学"的重要课题,他是分子生物学中心法则尚未解决的一个重大生物学问题,因此预测蛋白质折叠模式是一个复杂、困难、和有挑战性的工作。为了解决该问题,我们引入了分类器集成,本文所采用的是三种分类器(LMT、RandomForest、SMO)进行集成以及188维组合理化特征来对蛋白质类别进行预测。实验证明,该方法可以有效表征蛋白质折叠模式的特性,对蛋白质序列数据实现精确分类;交叉验证和独立测试均证明本文预测准确率超过70%,比前人工作提高近10个百分点。     

蛋白质折叠速率预测研究进展

蛋白质折叠速率预测是当今生物物理学最具挑战性的课题之一。近年来,该领域的研究取得了很大的进展,提出了许多经验参数,例如:接触序、长程序、总接触距离、链拓扑参数、二级结构含量、有效长度、螺旋参数、n-阶接触距离等。这些参数都和蛋白质的折叠速率有很好的相关性,基于这些参数的各种预测方法所得到的预测结果也与实验数据较好地吻合。     

蛋白质工程和蛋白质折叠

蛋白质一级结构决定着高级结构。蛋白质肽链在适宜条件下会自动卷曲形成其相应的高级结构,即自动发生蛋白质折叠,其自动发生的原因和过程仍不十分清楚,但是随着蛋白质工程的日益兴起,这些与折叠有关的问题也愈显重要,就此已有文章进行过讨论[1,2]。反之,如把新兴的蛋白质工程手段(尤其是基因定点诱变技术)应用来研究这些折叠问题,必将推动蛋白质折叠的研究。本文将就蛋白质折叠与蛋白质工程相互影响的一些例子进行讨论。     

天然无折叠蛋白质

天然无折叠蛋白质是一类与传统蛋白质结构完全不同的蛋白质,这类蛋白质的数目在不断地增加。它们的出现是对蛋白质学科基本信条的挑战。     

蛋白质的折叠

重点介绍了蛋白质折叠的热力学控制学说和动力学控制学说,简单介绍了几种蛋白质折叠模型并分析了多肽链在体内进行快速折叠的原因。     

蛋白质折迭的不可逆热力学理论及蛋白质动态热力学结构(英)

在机械力学及热力学基础上阐述蛋白质的各种物理性质是从物理学角度理解生物学的基础性工作.详细讨论了蛋白质折迭的不可逆热力学理论,蛋白质动态热力学结构理论.理论推断蛋白质动态热力学变化是一切生物学状态变化的基本热力学状态单位并作为分子生物学变化的分子开关.利用此理论解释了蛋白质的物理学性质及麻醉药的生物物理学机制.     

新型平均势函数在蛋白质反向折叠中的应用

利用蛋白质主链的极性分数及主链二面角为参量,构建了一种基于蛋白质结构数据库的势函数。将该势函数应用于蛋白质反向折叠研究中,发现该函数可成功地将蛋白质分子的天然构象从构建的构象库中识别出来;将一目标序列与构象库的每一可能的构象匹配,并用该势函数计算相应的能量,结果表明对绝大多数蛋白质分子来说,天然的构象的能量值总是最低。此外,该函数还将一些序列相似性较低,而结构相似性较高的蛋白质分子识别出来。我们认     

模拟蛋白质折叠过程的新算法研究

蛋白质折叠过程模拟是当前蛋白质研究领域的一个难点问题。针对这一问题,提出了一个描述蛋白质折叠过程的算法-拟蛇算法,并且从分子振荡和分子动力学理论两个方面来证明该算法的核心函数是可行和正确的。经过实验总结出所有蛋白质空间结构都可以通过两种类型函数构造出来,提出了描述蛋白质折叠过程模型。与其它蛋白质折叠过程模拟算法的实验结果比较表明,拟蛇算法所构造的空间结构能量值最小、相似度最好。进而说明拟蛇算法和蛋白质折叠过程模型在描述蛋白质折叠过程方面具有明显优势。     

microRNA调控未折叠蛋白反应的研究进展

microRNA(miRNA,miR)是一类非编码小单链RNA,可转录后抑制蛋白表达。未折叠蛋白反应(unfolded protein response,UPR)是在病理因素刺激下,由于错误蛋白聚集在内质网诱导细胞核减少蛋白合成以缓解内质网压力的保护措施。本文将概述microRNA调控未折叠蛋白反应的研究进展。     

Describing Partially Unfolded States of Proteins from Sparse NMR Ddata

Proteins involved in signal transduction can usually be present in two states: an inactive and an active (signaling) state. In the case of photoreceptors such as PYP, it has been shown that the signaling state has a large degree of structural and dynamic disorder. Conventional structural NMR approaches present difficulties in describing such partially unfolded states. Owing to the disordered dynamical and transient nature of such states classical NOE-based information, when present, is sparse. Chemical shift changes upon partial unfolding can, however, be easily monitored from HSQC spectra. We show here that such states can be modeled by defining native-like inter-residue contacts for those residues that do not shift significantly upon partial unfolding. The feasibility of this approach is demonstrated using lysozyme as a test case and applied to model the partially unfolded signaling state (pB) of a truncated form of the photoactive yellow protein for which a “classical” NOE-based structure is available for validation. This approach should be generally applicable to systems in which part of the structure remains in a well-defined native-like conformation.     

Conformational Isomers of Denatured and Unfolded Proteins: Methods of Production and Applications

Conformational isomers of denatured-unfolded proteins are rich in numbers and varied in shapes. They represent an opulent resource of biological molecules that have remained unexploited. The major obstacle in utilizing this untapped potential is that it is inherently difficult to isolate and characterize pure conformational isomers, not only because of the excessive large number, but also because of their instability and rapid inter-conversion. Our lab has developed a method for trapping selected conformational isomers of denatured proteins that are amenable to isolation, characterization and further applications. The method has potential usefulness, ranging from the comprehensive structural characterization of denatured proteins, to the elucidation of pathways of protein unfolding–folding, to the production of unlimited structurally defined non-native protein isomers for biomedical applications.     

Unfolded state of polyalanine is a segmented polyproline II helix

Definition of the unfolded state of proteins is essential for understanding their stability and folding on biological timescales. Here, we find that under near physiological conditions the configurational ensemble of the unfolded state of the simplest protein structure, polyalanine alpha-helix, cannot be described by the commonly used Flory random coil model, in which configurational probabilities are derived from conformational preferences of individual residues. We utilize novel effectively ergodic sampling algorithms in the presence of explicit aqueous solvation, and observe water-mediated formation of polyproline II helical (P(II)) structure in the natively unfolded state of polyalanine, and its facilitation of alpha-helix formation in longer peptides. The segmented P(II) helical coil preorganizes the unfolded state ensemble for folding pathway entry by reducing the conformational space available to the diffusive search. Thus, as much as half of the folding search in polyalanine is accomplished by preorganization of the unfolded state.     

Astrocyte Unfolded Protein Response Induces a Specific Reactivity State that Causes Non-Cell-Autonomous Neuronal Degeneration

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Thermodynamic effects of proline introduction on protein stability

The amino acid Pro is more rigid than other naturally occurring amino acids and, in proteins, lacks an amide hydrogen. To understand the structural and thermodynamic effects of Pro substitutions, it was introduced at 13 different positions in four different proteins, leucine-isoleucine-valine binding protein, maltose binding protein, ribose binding protein, and thioredoxin. Three of the maltose binding protein mutants were characterized by X-ray crystallography to confirm that no structural changes had occurred upon mutation. In the remaining cases, fluorescence and CD spectroscopy were used to show the absence of structural change. Stabilities of wild type and mutant proteins were characterized by chemical denaturation at neutral pH and by differential scanning calorimetry as a function of pH. The mutants did not show enhanced stability with respect to chemical denaturation at room temperature. However, 6 of the 13 single mutants showed a small but significant increase in the free energy of thermal unfolding in the range of 0.3-2.4 kcal/mol, 2 mutants showed no change, and 5 were destabilized. In five of the six cases, the stabilization was because of reduced entropy of unfolding. However, the magnitude of the reduction in entropy of unfolding was typically several fold larger than the theoretical estimate of -4 cal K(-1) mol(-1) derived from the relative areas in the Ramachandran map accessible to Pro and Ala residues, respectively. Two double mutants were constructed. In both cases, the effects of the single mutations on the free energy of thermal unfolding were nonadditive.     

Functional and Regulatory Roles of Fold-Switching Proteins

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Flavors of protein disorder

Intrinsically disordered proteins are characterized by long regions lacking 3-D structure in their native states, yet they have been so far associated with 28 distinguishable functions. Previous studies showed that protein predictors trained on disorder from one type of protein often achieve poor accuracy on disorder of proteins of a different type, thus indicating significant differences in sequence properties among disordered proteins. Important biological problems are identifying different types, or flavors, of disorder and examining their relationships with protein function. Innovative use of computational methods is needed in addressing these problems due to relative scarcity of experimental data and background knowledge related to protein disorder. We developed an algorithm that partitions protein disorder into flavors based on competition among increasing numbers of predictors, with prediction accuracy determining both the number of distinct predictors and the partitioning of the individual proteins. Using 145 variously characterized proteins with long (>30 amino acids) disordered regions, 3 flavors, called V, C, and S, were identified by this approach, with the V subset containing 52 segments and 7743 residues, C containing 39 segments and 3402 residues, and S containing 54 segments and 5752 residues. The V, C, and S flavors were distinguishable by amino acid compositions, sequence locations, and biological function. For the sequences in SwissProt and 28 genomes, their protein functions exhibit correlations with the commonness and usage of different disorder flavors, suggesting different flavor-function sets across these protein groups. Overall, the results herein support the flavor-function approach as a useful complement to structural genomics as a means for automatically assigning possible functions to sequences.     

融合标签技术在膜蛋白结构研究中的应用

膜蛋白高级结构的研究包括不同的层次,即膜蛋白拓扑学结构的研究、利用核磁共振技术和蛋白质晶体衍射技术对三维结构的研究,以及膜蛋白复合体的研究。在研究过程中,如果能够基于膜蛋白的拓扑学结构预测,选择合适的蛋白质或多肽融合标签,利用基因融合技术在基因水平上对膜蛋白进行改造,可以产生含有融合标签的重组膜蛋自,不仅具有原有膜蛋白的功能活性,还具有融合标签所特有的生理生化特性,将会极大地促进膜蛋白结构和功能的研究。我们就目前膜蛋白结构研究中所涉及的融合标签技术及其应用策略和所取得的进展做一简述。     

Structures, basins, and energies: a deconstruction of the Protein Coil Library

Globular proteins adopt complex folds, composed of organized assemblies of alpha-helix and beta-sheet together with irregular regions that interconnect these scaffold elements. Here, we seek to parse the irregular regions into their structural constituents and to rationalize their formative energetics. Toward this end, we dissected the Protein Coil Library, a structural database of protein segments that are neither alpha-helix nor beta-strand, extracted from high-resolution protein structures. The backbone dihedral angles of residues from coil library segments are distributed indiscriminately across the phi,psi map, but when contoured, seven distinct basins emerge clearly. The structures and energetics associated with the two least-studied basins are the primary focus of this article. Specifically, the structural motifs associated with these basins were characterized in detail and then assessed in simple simulations designed to capture their energetic determinants. It is found that conformational constraints imposed by excluded volume and hydrogen bonding are sufficient to reproduce the observed ,psi distributions of these motifs; no additional energy terms are required. These three motifs in conjunction with alpha-helices, strands of beta-sheet, canonical beta-turns, and polyproline II conformers comprise approximately 90% of all protein structure.