Structure and Biophysical Properties of a Triple-Stranded Beta-Helix Comprising the Central Spike of Bacteriophage T4
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Structural Biology of Laminins
Essays in Biochemistry (2019) EBC20180075 https://doi.org/10.1042/EBC20180075 Review Article Structural biology of laminins Erhard Hohenester Department of Life Sciences, Imperial College London, London SW7 2AZ, U.K. Correspondence: Erhard Hohenester ([email protected]) Laminins are large cell-adhesive glycoproteins that are required for the formation and func- tion of basement membranes in all animals. Structural studies by electron microscopy in the early 1980s revealed a cross-shaped molecule, which subsequently was shown to con- sist of three distinct polypeptide chains. Crystallographic studies since the mid-1990s have added atomic detail to all parts of the laminin heterotrimer. The three short arms of the cross are made up of continuous arrays of disulphide-rich domains. The globular domains at the tips of the short arms mediate laminin polymerization; the surface regions involved in this process have been identified by structure-based mutagenesis. The long arm of the cross is an α-helical coiled coil of all three chains, terminating in a cell-adhesive globular region. The molecular basis of cell adhesion to laminins has been revealed by recent structures of heterotrimeric integrin-binding fragments and of a laminin fragment bound to the carbohy- drate modification of dystroglycan. The structural characterization of the laminin molecule is essentially complete, but we still have to find ways of imaging native laminin polymers at molecular resolution. Introduction About 40 years ago, two laboratories independently purified a large glycoprotein from the extracellular matrix produced by mouse tumour cells [1,2]. Antibodies raised against this glycoprotein reacted with basement membranes (also known as basal laminae) in mouse tissues, prompting Rupert Timpl and col- leagues to name the new protein laminin. -
Leucine Zippers
Leucine Zippers Leucine Zippers Advanced article Toshio Hakoshima, Nara Institute of Science and Technology, Nara, Japan Article contents Introduction The leucine zipper (ZIP) motif consists of a periodic repetition of a leucine residue at every Structural Basis of ZIP seventh position and forms an a-helical conformation, which facilitates dimerization and in Occurrence of ZIP and Coiled-coil Motifs some cases higher oligomerization of proteins. In many eukaryotic gene regulatory proteins, Dimerization Specificity of ZIP the ZIP motif is flanked at its N-terminus by a basic region containing characteristic residues DNA-binding Specificity of bZIP that facilitate DNA binding. doi: 10.1038/npg.els.0005049 Introduction protein modules for protein–protein interactions. Knowing the structure and function of these motifs A structure referred to as the leucine zipper or enables us to understand the molecular recognition simply as ZIP has been proposed to explain how a system in several biological processes. class of eukaryotic gene regulatory proteins works (Landschulz et al., 1988). A segment of the mammalian CCAAT/enhancer binding protein (C/EBP) of 30 Structural Basis of ZIP amino acids shares notable sequence similarity with a segment of the cellular Myc transforming protein. The The a helix is a secondary structure element that segments have been found to contain a periodic occurs frequently in proteins. Alpha helices are repetition of a leucine residue at every seventh stabilized in proteins by being packed into the position. A periodic array of at least four leucines hydrophobic core of a protein through hydrophobic has also been noted in the sequences of the Fos and side chains. -
Α/Β Coiled Coils 2 3 Marcus D
1 α/β Coiled Coils 2 3 Marcus D. Hartmann, Claudia T. Mendler†, Jens Bassler, Ioanna Karamichali, Oswin 4 Ridderbusch‡, Andrei N. Lupas* and Birte Hernandez Alvarez* 5 6 Department of Protein Evolution, Max Planck Institute for Developmental Biology, 72076 7 Tübingen, Germany 8 † present address: Nuklearmedizinische Klinik und Poliklinik, Klinikum rechts der Isar, 9 Technische Universität München, Munich, Germany 10 ‡ present address: Vossius & Partner, Siebertstraße 3, 81675 Munich, Germany 11 12 13 14 * correspondence to A. N. Lupas or B. Hernandez Alvarez: 15 Department of Protein Evolution 16 Max-Planck-Institute for Developmental Biology 17 Spemannstr. 35 18 D-72076 Tübingen 19 Germany 20 Tel. –49 7071 601 356 21 Fax –49 7071 601 349 22 [email protected], [email protected] 23 1 24 Abstract 25 Coiled coils are the best-understood protein fold, as their backbone structure can uniquely be 26 described by parametric equations. This level of understanding has allowed their manipulation 27 in unprecedented detail. They do not seem a likely source of surprises, yet we describe here 28 the unexpected formation of a new type of fiber by the simple insertion of two or six residues 29 into the underlying heptad repeat of a parallel, trimeric coiled coil. These insertions strain the 30 supercoil to the breaking point, causing the local formation of short β-strands, which move the 31 path of the chain by 120° around the trimer axis. The result is an α/β coiled coil, which retains 32 only one backbone hydrogen bond per repeat unit from the parent coiled coil. -
Folding and Unfolding of Helix-Turn-Helix Motifs in the Gas Phase
FOCUS:FROM MOBILITIES TO PROTEOMES Folding and Unfolding of Helix-Turn-Helix Motifs in the Gas Phase Lloyd W. Zilch, David T. Kaleta, Motoya Kohtani, Ranjani Krishnan, and Martin F. Jarrold Department of Chemistry, Indiana University, Bloomington, Indiana, USA Ion mobility measurements and molecular dynamic simulations have been performed for a series of peptides designed to have helix-turn-helix motifs. For peptides with two helical ϩ ϩ ϩ ϩ sections linked by a short loop region: AcA14KG3A14K 2H , AcA14KG5A14K 2H , ϩ ϩ ϩ ϩ ϭ ϭ ϭ AcA14KG7A14K 2H , and AcA14KSar3A14K 2H (Ac acetyl, A alanine, G glycine, Sar ϭ sarcosine and K ϭ lysine); a coiled-coil geometry with two anti-parallel helices is the lowest energy conformation. The helices uncouple and the coiled-coil unfolds as the temperature is raised. Equilibrium constants determined as a function of temperature yield enthalpy and entropy changes for the unfolding of the coiled-coil. The enthalpy and entropy changes depend on the length and nature of the loop region. For a peptide with three helical sections: protonated AcA14KG3A14KG3A14K; a coiled-coil bundle with three helices side-by-side is substantially less stable than a geometry with two helices in an antiparallel coiled-coil and the third helix collinear with one of the other two. (J Am Soc Mass Spectrom 2007, 18, 1239–1248) © 2007 American Society for Mass Spectrometry ϩ ϩ he function and activity of a protein is controlled AcA15K H helices are remarkably stable in the gas by its conformation. The conformation is deter- phase, and have been shown to remain intact to over ϩ ϩ Tmined by the protein’s potential energy surface, 700 K. -
Eukaryotic Genome Annotation
Comparative Features of Multicellular Eukaryotic Genomes (2017) (First three statistics from www.ensembl.org; other from original papers) C. elegans A. thaliana D. melanogaster M. musculus H. sapiens Species name Nematode Thale Cress Fruit Fly Mouse Human Size (Mb) 103 136 143 3,482 3,555 # Protein-coding genes 20,362 27,655 13,918 22,598 20,338 (25,498 (13,601 original (30,000 (30,000 original est.) original est.) original est.) est.) Transcripts 58,941 55,157 34,749 131,195 200,310 Gene density (#/kb) 1/5 1/4.5 1/8.8 1/83 1/97 LINE/SINE (%) 0.4 0.5 0.7 27.4 33.6 LTR (%) 0.0 4.8 1.5 9.9 8.6 DNA Elements 5.3 5.1 0.7 0.9 3.1 Total repeats 6.5 10.5 3.1 38.6 46.4 Exons % genome size 27 28.8 24.0 per gene 4.0 5.4 4.1 8.4 8.7 average size (bp) 250 506 Introns % genome size 15.6 average size (bp) 168 Arabidopsis Chromosome Structures Sorghum Whole Genome Details Characterizing the Proteome The Protein World • Sequencing has defined o Many, many proteins • How can we use this data to: o Define genes in new genomes o Look for evolutionarily related genes o Follow evolution of genes ▪ Mixing of domains to create new proteins o Uncover important subsets of genes that ▪ That deep phylogenies • Plants vs. animals • Placental vs. non-placental animals • Monocots vs. dicots plants • Common nomenclature needed o Ensure consistency of interpretations InterPro (http://www.ebi.ac.uk/interpro/) Classification of Protein Families • Intergrated documentation resource for protein super families, families, domains and functional sites o Mitchell AL, Attwood TK, Babbitt PC, et al. -
STACK: a Toolkit for Analysing Β-Helix Proteins
STACK: a toolkit for analysing ¯-helix proteins Master of Science Thesis (20 points) Salvatore Cappadona, Lars Diestelhorst Abstract ¯-helix proteins contain a solenoid fold consisting of repeated coils forming parallel ¯-sheets. Our goal is to formalise the intuitive notion of a ¯-helix in an objective algorithm. Our approach is based on first identifying residues stacks — linear spatial arrangements of residues with similar conformations — and then combining these elementary patterns to form ¯-coils and ¯-helices. Our algorithm has been implemented within STACK, a toolkit for analyzing ¯-helix proteins. STACK distinguishes aromatic, aliphatic and amidic stacks such as the asparagine ladder. Geometrical features are computed and stored in a relational database. These features include the axis of the ¯-helix, the stacks, the cross-sectional shape, the area of the coils and related packing information. An interface between STACK and a molecular visualisation program enables structural features to be highlighted automatically. i Contents 1 Introduction 1 2 Biological Background 2 2.1 Basic Concepts of Protein Structure ....................... 2 2.2 Secondary Structure ................................ 2 2.3 The ¯-Helix Fold .................................. 3 3 Parallel ¯-Helices 6 3.1 Introduction ..................................... 6 3.2 Nomenclature .................................... 6 3.2.1 Parallel ¯-Helix and its ¯-Sheets ..................... 6 3.2.2 Stacks ................................... 8 3.2.3 Coils ..................................... 8 3.2.4 The Core Region .............................. 8 3.3 Description of Known Structures ......................... 8 3.3.1 Helix Handedness .............................. 8 3.3.2 Right-Handed Parallel ¯-Helices ..................... 13 3.3.3 Left-Handed Parallel ¯-Helices ...................... 19 3.4 Amyloidosis .................................... 20 4 The STACK Toolkit 24 4.1 Identification of Structural Elements ....................... 24 4.1.1 Stacks ................................... -
Calculating the Structure-Based Phylogenetic Relationship
CALCULATING THE STRUCTURE-BASED PHYLOGENETIC RELATIONSHIP OF DISTANTLY RELATED HOMOLOGOUS PROTEINS UTILIZING MAXIMUM LIKELIHOOD STRUCTURAL ALIGNMENT COMBINATORICS AND A NOVEL STRUCTURAL MOLECULAR CLOCK HYPOTHESIS A DISSERTATION IN Molecular Biology and Biochemistry and Cell Biology and Biophysics Presented to the Faculty of the University of Missouri-Kansas City in partial fulfillment of the requirements for the degree Doctor of Philosophy by SCOTT GARRETT FOY B.S., Southwest Baptist University, 2005 B.A., Truman State University, 2007 M.S., University of Missouri-Kansas City, 2009 Kansas City, Missouri 2013 © 2013 SCOTT GARRETT FOY ALL RIGHTS RESERVED CALCULATING THE STRUCTURE-BASED PHYLOGENETIC RELATIONSHIP OF DISTANTLY RELATED HOMOLOGOUS PROTEINS UTILIZING MAXIMUM LIKELIHOOD STRUCTURAL ALIGNMENT COMBINATORICS AND A NOVEL STRUCTURAL MOLECULAR CLOCK HYPOTHESIS Scott Garrett Foy, Candidate for the Doctor of Philosophy Degree University of Missouri-Kansas City, 2013 ABSTRACT Dendrograms establish the evolutionary relationships and homology of species, proteins, or genes. Homology modeling, ligand binding, and pharmaceutical testing all depend upon the homology ascertained by dendrograms. Regardless of the specific algorithm, all dendrograms that ascertain protein evolutionary homology are generated utilizing polypeptide sequences. However, because protein structures superiorly conserve homology and contain more biochemical information than their associated protein sequences, I hypothesize that utilizing the structure of a protein instead -
And Beta-Helical Protein Motifs
Soft Matter Mechanical Unfolding of Alpha- and Beta-helical Protein Motifs Journal: Soft Matter Manuscript ID SM-ART-10-2018-002046.R1 Article Type: Paper Date Submitted by the 28-Nov-2018 Author: Complete List of Authors: DeBenedictis, Elizabeth; Northwestern University Keten, Sinan; Northwestern University, Mechanical Engineering Page 1 of 10 Please doSoft not Matter adjust margins Soft Matter ARTICLE Mechanical Unfolding of Alpha- and Beta-helical Protein Motifs E. P. DeBenedictis and S. Keten* Received 24th September 2018, Alpha helices and beta sheets are the two most common secondary structure motifs in proteins. Beta-helical structures Accepted 00th January 20xx merge features of the two motifs, containing two or three beta-sheet faces connected by loops or turns in a single protein. Beta-helical structures form the basis of proteins with diverse mechanical functions such as bacterial adhesins, phage cell- DOI: 10.1039/x0xx00000x puncture devices, antifreeze proteins, and extracellular matrices. Alpha helices are commonly found in cellular and extracellular matrix components, whereas beta-helices such as curli fibrils are more common as bacterial and biofilm matrix www.rsc.org/ components. It is currently not known whether it may be advantageous to use one helical motif over the other for different structural and mechanical functions. To better understand the mechanical implications of using different helix motifs in networks, here we use Steered Molecular Dynamics (SMD) simulations to mechanically unfold multiple alpha- and beta- helical proteins at constant velocity at the single molecule scale. We focus on the energy dissipated during unfolding as a means of comparison between proteins and work normalized by protein characteristics (initial and final length, # H-bonds, # residues, etc.). -
Introduction to the Local Theory of Curves and Surfaces
Introduction to the Local Theory of Curves and Surfaces Notes of a course for the ICTP-CUI Master of Science in Mathematics Marco Abate, Fabrizio Bianchi (with thanks to Francesca Tovena) (Much more on this subject can be found in [1]) CHAPTER 1 Local theory of curves Elementary geometry gives a fairly accurate and well-established notion of what is a straight line, whereas is somewhat vague about curves in general. Intuitively, the difference between a straight line and a curve is that the former is, well, straight while the latter is curved. But is it possible to measure how curved a curve is, that is, how far it is from being straight? And what, exactly, is a curve? The main goal of this chapter is to answer these questions. After comparing in the first two sections advantages and disadvantages of several ways of giving a formal definition of a curve, in the third section we shall show how Differential Calculus enables us to accurately measure the curvature of a curve. For curves in space, we shall also measure the torsion of a curve, that is, how far a curve is from being contained in a plane, and we shall show how curvature and torsion completely describe a curve in space. 1.1. How to define a curve n What is a curve (in a plane, in space, in R )? Since we are in a mathematical course, rather than in a course about military history of Prussian light cavalry, the only acceptable answer to such a question is a precise definition, identifying exactly the objects that deserve being called curves and those that do not. -
Rapid and Accurate Prediction of Coiled-Coil Structures and Application to Modelling Intermediate filaments
bioRxiv preprint doi: https://doi.org/10.1101/123869; this version posted April 14, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. CCFold: rapid and accurate prediction of coiled-coil structures and application to modelling intermediate filaments Dmytro Guzenko and Sergei V. Strelkov ∗ Department of Pharmaceutical and Pharmacological Sciences KU Leuven, Leuven 3000, Belgium. ∗To whom correspondence should be addressed. Abstract Accurate molecular structure of the protein dimer representing the elementary building block of intermediate filaments (IFs) is essential towards the understanding of the filament assembly, rationalizing their mechanical properties and explaining the effect of disease- related IF mutations. The dimer contains a ∼300-residue long α-helical coiled coil which is not assessable to either direct experimental structure determination or modelling using standard approaches. At the same time, coiled coils are well-represented in structural databases. Here we present CCFold, a generally applicable threading-based algorithm which produces coiled-coil models from protein sequence only. The algorithm is based on a statistical analysis of experimentally determined structures and can handle any hydrophobic repeat patterns in addition to the most common heptads. We demonstrate that CCFold outperforms general-purpose computational folding in terms of accuracy, while being faster by orders of magnitude. By combining the CCFold algorithm and Rosetta folding we generate representative dimer models for all IF protein classes. The source code is freely available at https://github.com/biocryst/IF 1 Introduction Intermediate filaments (IFs) are an important example of a protein assembly based on α-helical coiled coils (CCs). -
Chern-Simons-Higgs Model As a Theory of Protein Molecules
ITEP-TH-12/19 Chern-Simons-Higgs Model as a Theory of Protein Molecules Dmitry Melnikov and Alyson B. F. Neves November 13, 2019 Abstract In this paper we discuss a one-dimensional Abelian Higgs model with Chern-Simons interaction as an effective theory of one-dimensional curves embedded in three-dimensional space. We demonstrate how this effective model is compatible with the geometry of protein molecules. Using standard field theory techniques we analyze phenomenologically interesting static configurations of the model and discuss their stability. This simple model predicts some characteristic relations for the geometry of secondary structure motifs of proteins, and we show how this is consistent with the experimental data. After using the data to universally fix basic local geometric parameters, such as the curvature and torsion of the helical motifs, we are left with a single free parameter. We explain how this parameter controls the abundance and shape of the principal motifs (alpha helices, beta strands and loops connecting them). 1 Introduction Proteins are very complex objects, but in the meantime there is an impressive underlying regularity beyond their structure. This regularity is captured in part by the famous Ramachandran plots that map the correlation of the dihedral (torsion) angles of consecutive bonds in the protein backbone (see for example [1, 2, 3]). The example on figure 1 shows an analogous data of about hundred of proteins, illustrating the localization of the pairs of angles around two regions.1 These two most densely populated regions, labeled α and β, correspond to the most common secondary structure elements in proteins: (right) alpha helices and beta strands. -
Coiled- Coil-Forming Protein Domains
Proc. Natl. Acad. Sci. USA Vol. 92, pp. 3100-3104, April 1995 Biochemistry Stathmin interaction with a putative kinase and coiled-coil-forming protein domains (two-hybrid/regulatory cascades/BiP) ALEXANDRE MAUCUER*t, JACQUES H. CAMONISt, AND ANDRE' SOBEL* *Institut National de la Sante et de la Recherche Medicale, Unit6 153, 17 rue du Fer a Moulin, 75005 Paris, France; and tInstitut National de la Sante et de la Recherche Medicale, Unite 248, 10 Av. de Verdun, 75010 Paris, France Communicated by George A. Olah, University of Southern California, Los Angeles, CA, December 27, 1994 (received for review October 17, 1994) ABSTRACT Stathmin is a ubiquitous, cytosolic 19-kDa in all tissues, the highest level being in brain, where it is mostly protein, which is phosphorylated on up to four sites in present in neurons (21, 22), in testis (18), and in activated or response to many regulatory signals within cells. Its molecular leukemic lymphocytes (5, 23). On the basis of its overall characterization indicates a functional organization including regulatory and molecular features, we proposed that stathmin an N-terminal regulatory domain that bears the phosphory- could act as a general integrator and relay of signals controlling lation sites, linked to a putative a-helical binding domain cell proliferation, differentiation, and functions, during devel- predicted to participate in coiled-coil, protein-protein inter- opment and adult life (2, 24). actions. We therefore proposed that stathmin may play the Phosphorylation studies (25-27), sequence analysis (28-31), role of a relay integrating diverse intracellular regulatory interspecies comparisons (31), and circular dichroism (32) pathways; its action on various target proteins would be a indicate that stathmin is composed of (i) an N-terminal function of its combined phosphorylation state.