Homology modeling and consensus protein disorder prediction of human filamin

Filamins are dimeric actin-binding proteins participating in the organization of the actin-based cytoskeleton. Their modular domain organization is made up of an N-terminal actin-binding domain composed of two CH domains followed by flexible rod regions that consist of 24 Ig-like domains. Homology modeling was used to model human filamin using Modeller 9v5. The resulting model assessed by Verify 3D and PROCHECK showed that the final model is reliable. The conformational disorder prediction of human filamin residues were also mapped on the validated structure of human filamin. Prediction of protein disorder in filamin structures will help structural biologists to find suitable targets to be analyzed and for understanding protein function.     

Influence of human tryptophan hydroxylase 2 N- and C-terminus on enzymatic activity and oligomerization

Tryptophan hydroxylase (TPH) catalyses the first and rate limiting step in the biosynthesis of the neurotransmitter serotonin. There are two TPH isoenzymes in humans, encoded by two different genes: TPH1 and the recently described TPH2. We have expressed both human enzymes and various deletion mutants of TPH2 (DeltaN44, DeltaC17, DeltaC19, DeltaC51) in COS7 cells. TPH1 and 2 displayed different kinetic properties with a lower K(m) value of TPH1. Removal of 44 amino acids from the N-terminus of TPH2 resulted in a 3-4-fold increased V(max), which indicates a strong inhibitory function of this part on the enzymes activity. TPH1 and 2 were able to form homooligomers and also heterooligomers with each other. The different deletion mutants (DeltaC17, DeltaC19 and DeltaC51), which lack the putative C-terminal leucine zipper tetramerization domain, existed as monomeric enzymes. While short deletions (DeltaC17 and DeltaC19) hardly changed V(max) values, the DeltaC51 mutant lost 99% of TPH activity. These data identify a region between the C-terminal oligomerization domain and the catalytic domain, which is indispensable for TPH2 activity.     

MoFvAb: Modeling the Fv region of antibodies

Knowledge of the 3-dimensional structure of the antigen-binding region of antibodies enables numerous useful applications regarding the design and development of antibody-based drugs. We present a knowledge-based antibody structure prediction methodology that incorporates concepts that have arisen from an applied antibody engineering environment. The protocol exploits the rich and continuously growing supply of experimentally derived antibody structures available to predict CDR loop conformations and the packing of heavy and light chain quickly and without user intervention. The homology models are refined by a novel antibody-specific approach to adapt and rearrange sidechains based on their chemical environment. The method achieves very competitive all-atom root mean square deviation values in the order of 1.5 Å on different evaluation datasets consisting of both known and previously unpublished antibody crystal structures.     

Predicted three-dimensional structure of the protease inhibitor domain of the Alzheimer's disease beta-amyloid precursor

Alzheimer's disease is characterized by the deposition of amyloid beta-protein as plaques and tangles in the brains of its victims. The amyloid precursor can be expressed with or without the inclusion of a protease inhibitor domain, the potential role of which in amyloidogenesis has prompted the generation of a model of its three-dimensional structure based on the known structure of a related inhibitor. The model structure predicts that the mutated residues are almost entirely on the surface of the inhibitor domain, while conserved residues constitute the hydrophobic core. In addition, several pairs of structurally complementary, or concerted, mutations are seen. These structural features provide strong evidence for the validity of the modeled structure, and it is suggested that the presence of complementary mutations may be used as a criterion for evaluating protein structures built by homology, in addition to the (spatial) location of the mutations. The terminal residues delimiting the domain are among those furthest from the protease binding site and are in close proximity to one another, thus suggesting the ability of the domain to function as a structural cassette within the context of a larger protein. The electrostatic potentials of the inhibitor and of the related bovine pancreatic trypsin inhibitor reveal how two inhibitors with very different net charges can bind with approximately the same binding constant to trypsin and suggest a mutation of trypsin that might selectively enhance the binding of the amyloid inhibitor domain. The model provides a structural basis for understanding the functional roles of residues in the domain and for designing simpler molecules to test as pharmacologic agents for intervention in Alzheimer's disease.     

人白介素6受体胞外区三维结构的同源模拟

IL-6受体是造血因子超家族成员,其胞外区细胞因子结合结构域（CBD）是受体结合配基和偶联gp130转导IL-6信号的功能域.据预测,IL-6R功能域的β片层折叠模式和人生长激素受体（hGH-R）及CD₄的晶体结构十分相似.应用计算机同源模拟技术,以hGH-R和CD₄的三维结构为模板,模建了hIL-6R功能域（106～322位）的三维结构,初步描述了其结构保守区的构象特征.文章研究模建的hIL-6R三维结构模式为探讨可溶性IL-6R点突变的结果,以及进行三维定量分析IL-6R胞外区功能域的构效关系提供了空间结构基础.     

An atomic model of actin filaments cross-linked by fimbrin and its implications for bundle assembly and function

Actin bundles have profound effects on cellular shape, division, adhesion, motility, and signaling. Fimbrin belongs to a large family of actin-bundling proteins and is involved in the formation of tightly ordered cross-linked bundles in the brush border microvilli and in the stereocilia of inner ear hair cells. Polymorphism in these three-dimensional (3D) bundles has prevented the detailed structural characterization required for in-depth understanding of their morphogenesis and function. Here, we describe the structural characterization of two-dimensional arrays of actin cross-linked with human T-fimbrin. Structural information obtained by electron microscopy, x-ray crystallography, and homology modeling allowed us to build the first molecular model for the complete actin-fimbrin cross-link. The restriction of the arrays to two dimensions allowed us to deduce the spatial relationship between the components, the mode of fimbrin cross-linking, and the flexibility within the cross-link. The atomic model of the fimbrin cross-link, the cross-linking rules deduced from the arrays, and the hexagonal packing of actin bundles in situ were all combined to generate an atomic model for 3D actin-fimbrin bundles. Furthermore, the assembly of the actin-fimbrin arrays suggests coupling between actin polymerization, fimbrin binding, and crossbridge formation, presumably achieved by a feedback between conformational changes and changes in affinity.     

A novel parameterization scheme for energy equations and its use to calculate the structure of protein molecules

A novel scheme for the parameterization of a type of “potential energy” function for protein molecules is introduced. The function is parameterized based on the known conformations of previously determined protein structures and their sequence similarity to a molecule whose conformation is to be calculated. Once parameterized, minima of the potential energy function can be located using a version of simulated annealing which has been previously shown to locate global and near-global minima with the given functional form. As a test problem, the potential was parameterized based on the known structures of the rubredoxins from Desulfovibrio vulgaris, Desulfovibrio desulfuricans, and Clostridium pasteurianum, which vary from 45 to 54 amino acids in length, and the sequence alignments of these molecules with the rubredoxin sequence from Desulfovibrio gigas. Since the Desulfovibrio gigas rubredeoxin conformation has also been determined, it is possible to check the accuracy of the results. Ten simulated-annealing runs from random starting conformations were performed. Seven of the 10 resultant conformations have an all-C_α rms deviation from the crystallographically determined conformation of less than 1.7 Å. For five of the structures, the rms deviation is less than 0.8 Å. Four of the structures have conformations which are virtually identical to each other except for the position of the carboxy-terminal residue. This is also the conformation which is achieved if the determined crystal structure is minimized with the same potential. The all-C_α rms difference between the crystal and minimized crystal structures is 0.6 Å. It is further observed that the “energies” of the structures according to the potential function exhibit a strong correlation with rms deviation from the native structure. The conformations of the individual model structures and the computational aspects of the modeling procedure are discussed. © 1993 Wiley-Liss, Inc.     

Rice Mutant Resources for Gene Discovery

With the completion of genomic sequencing of rice, rice has been firmly established as a model organism for both basic and applied research. The next challenge is to uncover the functions of genes predicted by sequence analysis. Considering the amount of effort and the diversity of disciplines required for functional analyses, extensive international collaboration is needed for this next goal. The aims of this review are to summarize the current status of rice mutant resources, key tools for functional analysis of genes, and our perspectives on how to accelerate rice gene discovery through collaboration.     

Coverage of whole proteome by structural genomics observed through protein homology modeling database

We have been developing FAMSBASE, a protein homology-modeling database of whole ORFs predicted from genome sequences. The latest update of FAMSBASE (), which is based on the protein three-dimensional (3D) structures released by November 2003, contains modeled 3D structures for 368,724 open reading frames (ORFs) derived from genomes of 276 species, namely 17 archaebacterial, 130 eubacterial, 18 eukaryotic and 111 phage genomes. Those 276 genomes are predicted to have 734,193 ORFs in total and the current FAMSBASE contains protein 3D structure of approximately 50% of the ORF products. However, cases that a modeled 3D structure covers the whole part of an ORF product are rare. When portion of an ORF with 3D structure is compared in three kingdoms of life, in archaebacteria and eubacteria, approximately 60% of the ORFs have modeled 3D structures covering almost the entire amino acid sequences, however, the percentage falls to about 30% in eukaryotes. When annual differences in the number of ORFs with modeled 3D structure are calculated, the fraction of modeled 3D structures of soluble protein for archaebacteria is increased by 5%, and that for eubacteria by 7% in the last 3 years. Assuming that this rate would be maintained and that determination of 3D structures for predicted disordered regions is unattainable, whole soluble protein model structures of prokaryotes without the putative disordered regions will be in hand within 15 years. For eukaryotic proteins, they will be in hand within 25 years. The 3D structures we will have at those times are not the 3D structure of the entire proteins encoded in single ORFs, but the 3D structures of separate structural domains. Measuring or predicting spatial arrangements of structural domains in an ORF will then be a coming issue of structural genomics.     

Analysis of six protein structures predicted by comparative modeling techniques

The protein structures of six comparative modeling targets were predicted in a procedure that relied on improved energy minimization, without empirical rules, to position all new atoms. The structures of human nucleoside diphosphate kinase NM23-H2, HPr from Mycoplasma capricolum, 2Fe-2S ferredoxin from Haloarcula marismortui, eosinophil-derived neurotoxin (EDN), mouse cellular retinoic acid protein I (CRABP1), and P450eryf were predicted with root mean square deviations on Cα atoms of 0.69, 0.73, 1.11, 1.48, 1.69, and 1.73 Å, respectively, compared to the target crystal structures. These differences increased as the sequence similarity between the target and parent proteins decreased from about 60 to 20% identity. More residues were predicted than form the common region shared by the two crystal structures. In most cases insertions or deletions between the target and the related protein of known structure were not correctly positioned. One two residue insertion in CRABP1 was predicted in the correct conformation, while a nine residue insertion in EDN was predicted in the correct spatial region, although not in the correct conformation. The positions of common cofactors and their binding sites were predicted correctly, even when overall sequence similarity was low. © 1995 Wiley-Liss, Inc.     

胰岛素受体底物PH结构域相互作用蛋白结构和功能研究进展

PHIP是一种与胰腺β细胞中胰岛素受体底物（IRS）的PH结构域相互作用的蛋白。根据小鼠PHIP（mPHIP）mRNA翻译的不同起始位点,除全长的PHIP1外,mPHIP基因还编码其他3种不同变异体。在胰岛素诱导的信号途径中,主要分布于细胞核的PHIP1和IRS-1的PH结构域相互作用,介导IRS蛋白酪氨酸的磷酸化。IRS-2和PHIP1的共表达能诱导IRS在细胞膜上的定位,促进葡萄糖转运蛋白4（GLUT4）向细胞质膜的转移。PHIP1的表达能提高β-细胞内细胞周期蛋白D2的表达,促进β细胞的生长。PHIP1的表达活化蛋白激酶B（PKB）,活化的PKB能明显抑制β细胞的凋亡。PHIP与胰岛素信号传导途径中其他信号分子的相互作用机制尚不明确。