DRSP:蛋白质单残基替换结构数据库（英文）

蛋白质残基替换是基因突变的产物之一,它可能改变蛋白质三维结构,对其生物学功能产生重大影响,因此研究蛋白质残基替换与结构改变的关系具有重要意义.随着实验解析蛋白质结构的数量迅猛增长,越来越多的野生型-突变体被应用于结构生物学的比较研究中.本研究从蛋白质三维结构数据库(PDB)出发,收集和计算了大量结构特征数据,构建了一个目前已知最大的野生型-突变体(单残基差异)的结构对数据库DRSP,展示出氨基酸类型和主链偏好性对结构保守性的相关性.DRSP的开放使用可为高精度的蛋白质结构分析预测提供有用信息,它的数据库网址是http://www.labshare.cn/drsp/index.php.     

p53蛋白质Gly249和Ser249替换型三维结构的分子动力学研究

利用p53蛋白质核心区晶体结构作分子动力学发现,除了生化方面的稳定性之外,该区还具有分子力学上的高度稳定性.在此基础上作的R249残基替换分子动力学研究显示,p53蛋白质核心区249位点精氨酸被其他残基替换后能引起p53蛋白质核心区L2、L3结构域间的密切联系趋于松散,正常的空间构象发生改变并使整个核心区结构稳定性受到破坏.这一研究从三维结构变化上,直观地解释了R249残基替换造成的p53蛋白质免疫和生化特性改变的结构机制.     

改造α乳清蛋白的定点突变研究

蛋白质结构与功能之间关系的研究一直是生命科学领域的焦点 .采用定点诱变技术在克隆 c DNA的预定位点导入突变 ,然后在适当的宿主细胞 -载体系统中表达已改变的基因 ,通过比较突变体蛋白与野生型蛋白的性质 ,往往可能鉴别出对蛋白质的结构完整性和生物学功能至关重要的结构域或氨基酸残基 [1,2 ] .α乳清蛋白是哺乳动物乳汁中的主要蛋白质 ,它和半乳糖苷转移酶一起形成复合物 ,称为乳糖合成酶 .C型溶菌酶的功能是催化裂解细菌细胞壁肽聚糖组分 NAM- NAG的 β- 1 ,4糖苷键 .早期的研究发现 ,虽然它们是两种功能截然不同的蛋白质 ,它们自…     

Structural and Functional Characterization of Acinetobacter baumannii Nucleoside Diphosphate Kinase

近年来,鲍曼不动杆菌(Acinetobacter baumannii)在医院里越来越受到人们的关注,尤其是在重症监护病房(ICUs)．它以强大的多重耐药性(multiresistance)而闻名．核苷二磷酸激酶(nucleoside diphosphate kinase,NDK)是一种进化上非常保守的酶,它能催化核苷之间磷酸基团的转移．我们解析了鲍曼不动杆菌NDK野生型和C端氨基酸残基Arg141-Thr142-Arg143(RTR)截短突变体的结构．通过和黄色黏菌(Myxococcus xanthus)NDK的三维结构进行比较,推断鲍曼不动杆菌NDK的催化机制和黄色黏菌类似．通过激酶活性实验和圆二色谱实验,发现鲍曼不动杆菌NDK E28A突变体二级结构发生了改变,从而导致蛋白催化活性降低,说明Glu28是鲍曼不动杆菌NDK结构中非常关键的氨基酸残基．鲍曼不动杆菌NDK C端RTR截短突变体显示出催化活性极大的降低,这可能与C端RTR残基介导的二体间相互作用有关．虽然RTR截短突变体中的Lys33伸向了和野生型中不同的方向,和Val15产生相互作用弥补了一部分因为RTR截短丢失的相互作用,维持了RTR截短突变体和野生型类似的结构．但是,Lys33产生的相互作用依然太弱,不足以维持蛋白在催化的动态过程中整体结构的高效转换．我们解析的鲍曼不动杆菌NDK晶体高分辨率结构将有助于科学家设计针对鲍曼不动杆菌的药物．     

基于体外分子进化技术提高弯曲芽孢杆菌CCTCC 2015368 β-淀粉酶的热稳定性

运用体外分子进化技术易错PCR方法,高通量筛选热稳定性提高的弯曲芽孢杆菌Bacillus flexus CCTCC2015368β-淀粉酶突变体。利用LB琼脂淀粉板显色、96-孔板DNS法测酶活和酶标仪检测等,最终筛选到了一株热稳定性显著提高的突变体D476N。野生型和突变体D476N分别纯化后,酶学性质测定表明:突变体D476N的最适pH为6.5,与野生型相比降低了0.5。突变体D476N和野生型的最适温度均为55℃,突变体D476N在55℃下的半衰期为35 min,比野生型提高了95%。突变体D476N的T_(50)值比野生型提高4℃。突变体D476N的K_m值为97.98μmol/L,是野生型(85.86μmol/L)1.14倍;突变体稳定性提高的同时,催化活力相对于野生型有略微下降。通过SWISS-MODEL同源模拟野生型和突变体D476N的三维结构,并通过PyMol软件分析,发现突变后的氨基酸残基Asn476位于蛋白质表面的loop环上,通过MOE软件计算,D476N的分子自由能(ΔG)为106.01kcal/mol,比野生酶降低10.3%,这一结果与蛋白质分子自由能和热稳定性呈负相关的理论相符。     

P53蛋白质R175残基替换的分子动力学研究

利用Ｐ５３蛋白核心区晶体结构作分子动力学研究发现,除了生经方面的稳定性之外,该区还具有分子动力学上的高度稳定性。在此基础上作的Ｒ１７５残基替换分子动力学研究显示,Ｐ５３蛋白质核心区１７５位点精氨酸被其他残基替换后能引起Ｐ５３蛋白质核心区Ｌ２、Ｌ３结构域间的密切联系趋于松散,下沉遥空间构象发生改变并使整个核心区结构稳定性受到破坏。这一研究从三维结构变化上,直观地解释了Ｒ１７５钱基替换造成的５３蛋白质     

鲍曼不动杆菌核苷二磷酸激酶的结构和功能研究（英文）

近年来,鲍曼不动杆菌(Acinetobacter baumannii)在医院里越来越受到人们的关注,尤其是在重症监护病房(ICUs).它以强大的多重耐药性(multiresistance)而闻名.核苷二磷酸激酶(nucleoside diphosphate kinase,NDK)是一种进化上非常保守的酶,它能催化核苷之间磷酸基团的转移.我们解析了鲍曼不动杆菌NDK野生型和C端氨基酸残基Arg141-Thr142-Arg143(RTR)截短突变体的结构.通过和黄色黏菌(Myxococcus xanthus)NDK的三维结构进行比较,推断鲍曼不动杆菌NDK的催化机制和黄色黏菌类似.通过激酶活性实验和圆二色谱实验,发现鲍曼不动杆菌NDK E28A突变体二级结构发生了改变,从而导致蛋白催化活性降低,说明Glu28是鲍曼不动杆菌NDK结构中非常关键的氨基酸残基.鲍曼不动杆菌NDK C端RTR截短突变体显示出催化活性极大的降低,这可能与C端RTR残基介导的二体间相互作用有关.虽然RTR截短突变体中的Lys33伸向了和野生型中不同的方向,和Val15产生相互作用弥补了一部分因为RTR截短丢失的相互作用,维持了RTR截短突变体和野生型类似的结构.但是,Lys33产生的相互作用依然太弱,不足以维持蛋白在催化的动态过程中整体结构的高效转换.我们解析的鲍曼不动杆菌NDK晶体高分辨率结构将有助于科学家设计针对鲍曼不动杆菌的药物.     

Asp^126、Asp^130、Asp^134对人白介素18功能的影响

为研究人白细胞介素18(hIL-18)中一些氨基酸残基对IL－18功能的影响,用重叠延伸PCR定点诱变技术构建hIL-18突变体hIL-18D^126N、hIL-18D^130K、hIL-18D^134K。将突变体cDNA与原核表达载体pJW2重组并转化大肠杆菌DH5α。经热诱导表达,3个突变体占菌体总蛋白质的15％－31％以上。SDS－PAGE证实,表达的蛋白质以包含体形式存在。包含体经超声破坏,2mol/L尿素洗涤,8mol/L尿素溶解,Sephadex G-75柱纯化后,纯度均可达95％以上。Western印迹表明3个突变体与野生型hIL-8具有相同的免疫原性。纯化的突变体蛋白质经复性后,以诱导人外周血单个核细胞（PBMC）产生于干扰素（IFN－γ）的能力为指标检测其活性,结果显示3个突变体的生物学活性分别为野生型IL－18的32％、8％、10％,表明hIL-18中126、130、134位的天冬氨酸（Asp)对其功能是必需的。     

苏云金芽孢杆菌Cry1Aa蛋白α4螺旋形成跨膜离子通道的昆虫毒性试验与模型预测

研究野生型苏云金芽孢杆菌Cry1Aa和Cry1C的毒性变化发现, 不同的pH不但影响这些蛋白质的毒性, 而且影响它们在跨膜过程中形成孔洞的能力. 将Cry1Aa α4螺旋中的15个氨基酸突变后与BBMV结合, 进行光散射分析, 与野生型Cry1Aa相比较, 发现有3个突变体几乎完全失去毒性, 7个突变体毒性明显降低, 5个突变体保持野生型毒性. 采用计算机模拟方法研究了苏云金芽孢杆菌Cry1Aa毒蛋白α4螺旋的三维空间结构, 通过观察15个不同残基定点突变对其功能的影响, 解释了突变体毒性变化的原因, 说明了参与膜孔洞形成氨基酸残基对Cry1Aa昆虫毒杀性的重要作用.     

Origins of structural diversity within sequentially identical hexapeptides

Efforts to predict protein secondary structure have been hampered by the apparent structural plasticity of local amino acid sequences. Kabsch and Sander (1984, Proc. Natl. Acad. Sci. USA 81, 1075–1078) articulated this problem by demonstrating that identical pentapeptide sequences can adopt distinct structures in different proteins. With the increased size of the protein structure database and the availability of new methods to characterize structural environments, we revisit this observation of structural plasticity. Within a set of proteins with less than 50% sequence identity, 59 pairs of identical hexapeptide sequences were identified. These local structures were compared and their surrounding structural environments examined. Within a protein structural class (α/α, β/β, α/β, α + β), the structural similarity of sequentially identical hexapeptides usually is preserved. This study finds eight pairs of identical hexapeptide sequences that adopt β-strand structure in one protein and α-helical structure in the other. In none of the eight cases do the members of these sequence pairs come from proteins within the same folding class. These results have implications for class dependent secondary structure prediction algorithms.     

Detection of common three-dimensional substructures in proteins.

We present a fully automatic algorithm for three-dimensional alignment of protein structures and for the detection of common substructures and structural repeats. Given two proteins, the algorithm first identifies all pairs of structurally similar fragments and subsequently clusters into larger units pairs of fragments that are compatible in three dimensions. The detection of similar substructures is independent of insertion/deletion penalties and can be chosen to be independent of the topology of loop connections and to allow for reversal of chain direction. Using distance geometry filters and other approximations, the algorithm, implemented in the WHAT IF program, is so fast that structural comparison of a single protein with the entire database of known protein structures can be performed routinely on a workstation. The method reproduces known non-trivial superpositions such as plastocyanin on azurin. In addition, we report surprising structural similarity between ubiquitin and a (2Fe-2S) ferredoxin.     

Comparison of sequence-based and structure-based phylogenetic trees of homologous proteins: Inferences on protein evolution

Several studies based on the known three-dimensional (3-D) structures of proteins show that two homologous proteins with insignificant sequence similarity could adopt a common fold and may perform same or similar biochemical functions. Hence, it is appropriate to use similarities in 3-D structure of proteins rather than the amino acid sequence similarities in modelling evolution of distantly related proteins. Here we present an assessment of using 3-D structures in modelling evolution of homologous proteins. Using a dataset of 108 protein domain families of known structures with at least 10 members per family we present a comparison of extent of structural and sequence dissimilarities among pairs of proteins which are inputs into the construction of phylogenetic trees. We find that correlation between the structure-based dissimilarity measures and the sequence-based dissimilarity measures is usually good if the sequence similarity among the homologues is about 30% or more. For protein families with low sequence similarity among the members, the correlation coefficient between the sequence-based and the structure-based dissimilarities are poor. In these cases the structure-based dendrogram clusters proteins with most similar biochemical functional properties better than the sequence-similarity based dendrogram. In multi-domain protein families and disulphide-rich protein families the correlation coefficient for the match of sequence-based and structure-based dissimilarity (SDM) measures can be poor though the sequence identity could be higher than 30%. Hence it is suggested that protein evolution is best modelled using 3-D structures if the sequence similarities (SSM) of the homologues are very low.     

DockTrina: Docking triangular protein trimers

In spite of the abundance of oligomeric proteins within a cell, the structural characterization of protein–protein interactions is still a challenging task. In particular, many of these interactions involve heteromeric complexes, which are relatively difficult to determine experimentally. Hence there is growing interest in using computational techniques to model such complexes. However, assembling large heteromeric complexes computationally is a highly combinatorial problem. Nonetheless the problem can be simplified greatly by considering interactions between protein trimers. After dimers and monomers, triangular trimers (i.e. trimers with pair‐wise contacts between all three pairs of proteins) are the most frequently observed quaternary structural motifs according to the three‐dimensional (3D) complex database. This article presents DockTrina, a novel protein docking method for modeling the 3D structures of nonsymmetrical triangular trimers. The method takes as input pair‐wise contact predictions from a rigid body docking program. It then scans and scores all possible combinations of pairs of monomers using a very fast root mean square deviation test. Finally, it ranks the predictions using a scoring function which combines triples of pair‐wise contact terms and a geometric clash penalty term. The overall approach takes less than 2 min per complex on a modern desktop computer. The method is tested and validated using a benchmark set of 220 bound and seven unbound protein trimer structures. DockTrina will be made available at http://nano‐d.inrialpes.fr/software/docktrina . Proteins 2014; 82:34–44. © 2013 Wiley Periodicals, Inc.     

Sequence variations within protein families are linearly related to structural variations

It is commonly believed that similarities between the sequences of two proteins infer similarities between their structures. Sequence alignments reliably recognize pairs of protein of similar structures provided that the percentage sequence identity between their two sequences is sufficiently high. This distinction, however, is statistically less reliable when the percentage sequence identity is lower than 30% and little is known then about the detailed relationship between the two measures of similarity. Here, we investigate the inverse correlation between structural similarity and sequence similarity on 12 protein structure families. We define the structure similarity between two proteins as the cRMS distance between their structures. The sequence similarity for a pair of proteins is measured as the mean distance between the sequences in the subsets of sequence space compatible with their structures. We obtain an approximation of the sequence space compatible with a protein by designing a collection of protein sequences both stable and specific to the structure of that protein. Using these measures of sequence and structure similarities, we find that structural changes within a protein family are linearly related to changes in sequence similarity.     

Multiple protein sequence alignment from tertiary structure comparison: assignment of global and residue confidence levels.

An algorithm is presented for the accurate and rapid generation of multiple protein sequence alignments from tertiary structure comparisons. A preliminary multiple sequence alignment is performed using sequence information, which then determines an initial superposition of the structures. A structure comparison algorithm is applied to all pairs of proteins in the superimposed set and a similarity tree calculated. Multiple sequence alignments are then generated by following the tree from the branches to the root. At each branchpoint of the tree, a structure-based sequence alignment and coordinate transformations are output, with the multiple alignment of all structures output at the root. The algorithm encoded in STAMP (STructural Alignment of Multiple Proteins) is shown to give alignments in good agreement with published structural accounts within the dehydrogenase fold domains, globins, and serine proteinases. In order to reduce the need for visual verification, two similarity indices are introduced to determine the quality of each generated structural alignment. Sc quantifies the global structural similarity between pairs or groups of proteins, whereas Pij' provides a normalized measure of the confidence in the alignment of each residue. STAMP alignments have the quality of each alignment characterized by Sc and Pij' values and thus provide a reproducible resource for studies of residue conservation within structural motifs.     

Thermodynamic Characterization of Conformational States of Biological Macromolecules using Differential Scanning Calorimetry

Abstract

The Ras superfamily small G proteins are master regulators of a diverse range of cellular processes and act via downstream effector molecules. The first structure of a small G protein–effector complex, that of Rap1A with c-Raf1, was published 20 years ago. Since then, the structures of more than 60 small G proteins in complex with their effectors have been published. These effectors utilize a diverse array of structural motifs to interact with the G protein fold, which we have divided into four structural classes: intermolecular β-sheets, helical pairs, other interactions, and pleckstrin homology (PH) domains. These classes and their representative structures are discussed and a contact analysis of the interactions is presented, which highlights the common effector-binding regions between and within the small G protein families.     

Novel protein folds and their nonsequential structural analogs

Newly determined protein structures are classified to belong to a new fold, if the structures are sufficiently dissimilar from all other so far known protein structures. To analyze structural similarities of proteins, structure alignment tools are used. We demonstrate that the usage of nonsequential structure alignment tools, which neglect the polypeptide chain connectivity, can yield structure alignments with significant similarities between proteins of known three-dimensional structure and newly determined protein structures that possess a new fold. The recently introduced protein structure alignment tool, GANGSTA, is specialized to perform nonsequential alignments with proper assignment of the secondary structure types by focusing on helices and strands only. In the new version, GANGSTA+, the underlying algorithms were completely redesigned, yielding enhanced quality of structure alignments, offering alignment against a larger database of protein structures, and being more efficient. We applied DaliLite, TM-align, and GANGSTA+ on three protein crystal structures considered to be novel folds. Applying GANGSTA+ to these novel folds, we find proteins in the ASTRAL40 database, which possess significant structural similarities, albeit the alignments are nonsequential and in some cases involve secondary structure elements aligned in reverse orientation. A web server is available at http://agknapp.chemie.fu-berlin.de/gplus for pairwise alignment, visualization, and database comparison.     

Method for comparing the structures of protein ligand-binding sites and application for predicting protein-drug interactions

Many drugs, even ones that are designed to act selectively on a target protein, bind unintended proteins. These unintended bindings can explain side effects or indicate additional mechanisms for a drug's medicinal properties. Structural similarity between binding sites is one of the reasons for binding to multiple targets. We developed a method for the structural alignment of atoms in the solvent-accessible surface of proteins that uses similarities in the local atomic environment, and carried out all-against-all structural comparisons for 48,347 potential ligand-binding regions from a nonredundant protein structure subset (nrPDB, provided by NCBI). The relationships between the similarity of ligand-binding regions and the similarity of the global structures of the proteins containing the binding regions were examined. We found 10,403 known ligand-binding region pairs whose structures were similar despite having different global folds. Of these, we detected 281 region pairs that had similar ligands with similar binding modes. These proteins are good examples of convergent evolution. In addition, we found a significant correlation between Z-score of structural similarity and true positive rate of "active" entries in the PubChem BioAssay database. Moreover, we confirmed the interaction between ibuprofen and a new target, porcine pancreatic elastase, by NMR experiment. Finally, we used this method to predict new drug-target protein interactions. We obtained 540 predictions for 105 drugs (e.g., captopril, lovastatin, flurbiprofen, metyrapone, and salicylic acid), and calculated the binding affinities using AutoDock simulation. The results of these structural comparisons are available at http://www.tsurumi.yokohama-cu.ac.jp/fold/database.html.     

Intrinsic protein disorder could be overlooked in cocrystallization conditions: An SRCD case study

X‐ray diffractometry dominates protein studies, as it can provide 3D structures of these diverse macromolecules or their molecular complexes with interacting partners: substrates, inhibitors, and/or cofactors. Here, we show that under cocrystallization conditions the results could reflect induced protein folds instead of the (partially) disordered original structures. The analysis of synchrotron radiation circular dichroism spectra revealed that the Im7 immunity protein stabilizes the native‐like solution structure of unfolded NColE7 nuclease mutants via complex formation. This is consistent with the fact that among the several available crystal structures with its inhibitor or substrate, all NColE7 structures are virtually the same. Our results draw attention to the possible structural consequence of protein modifications, which is often hidden by compensational effects of intermolecular interactions. The growing evidence on the importance of protein intrinsic disorder thus, demands more extensive complementary experiments in solution phase with the unligated form of the protein of interest.