Collagen and Creatine
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The Close-Packed Triple Helix As a Possible New Structural Motif for Collagen
The close-packed triple helix as a possible new structural motif for collagen Jakob Bohr∗ and Kasper Olseny Department of Physics, Technical University of Denmark Building 307 Fysikvej, DK-2800 Lyngby, Denmark Abstract The one-dimensional problem of selecting the triple helix with the highest volume fraction is solved and hence the condition for a helix to be close-packed is obtained. The close-packed triple helix is ◦ shown to have a pitch angle of vCP = 43:3 . Contrary to the conventional notion, we suggest that close packing form the underlying principle behind the structure of collagen, and the implications of this suggestion are considered. Further, it is shown that the unique zero-twist structure with no strain- twist coupling is practically identical to the close-packed triple helix. Some of the difficulties for the current understanding of the structure of collagen are reviewed: The ambiguity in assigning crystal structures for collagen-like peptides, and the failure to satisfactorily calculate circular dichroism spectra. Further, the proposed new geometrical structure for collagen is better packed than both the 10=3 and the 7=2 structure. A feature of the suggested collagen structure is the existence of a central channel with negatively charged walls. We find support for this structural feature in some of the early x-ray diffraction data of collagen. The central channel of the structure suggests the possibility of a one-dimensional proton lattice. This geometry can explain the observed magic angle effect seen in NMR studies of collagen. The central channel also offers the possibility of ion transport and may cast new light on various biological and physical phenomena, including biomineralization. -
Non-Linearity of the Collagen Triple Helix in Solution and Implications for Collagen Function
Biochemical Journal (2017) 474 2203–2217 DOI: 10.1042/BCJ20170217 Research Article Non-linearity of the collagen triple helix in solution and implications for collagen function Kenneth T. Walker1, Ruodan Nan1, David W. Wright1, Jayesh Gor1, Anthony C. Bishop2, George I. Makhatadze2, Barbara Brodsky3 and Stephen J. Perkins1 1Department of Structural and Molecular Biology, Darwin Building, University College London, Gower Street, London WC1E 6BT, U.K.; 2Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180-3590, U.S.A.; and 3 Department of Biomedical Engineering, Science and Technology Center, Tufts University, 4 Colby Street, Medford, MA 02155, U.S.A. Correspondence: S. J. Perkins ([email protected]) or B. Brodsky ([email protected]) Collagen adopts a characteristic supercoiled triple helical conformation which requires a repeating (Xaa-Yaa-Gly)n sequence. Despite the abundance of collagen, a combined experimental and atomistic modelling approach has not so far quantitated the degree of flexibility seen experimentally in the solution structures of collagen triple helices. To address this question, we report an experimental study on the flexibility of varying lengths of collagen triple helical peptides, composed of six, eight, ten and twelve repeats of the most stable Pro-Hyp-Gly (POG) units. In addition, one unblocked peptide, (POG)10unblocked, was compared with the blocked (POG)10 as a control for the significance of end effects. Complementary analytical ultracentrifugation and synchrotron small angle X-ray scattering data showed that the conformations of the longer triple helical peptides were not well explained by a linear structure derived from crystallography. -
The Recognition of Collagen and Triple-Helical Toolkit Peptides By
THE JOURNAL OF BIOLOGICAL CHEMISTRY VOL. 289, NO. 35, pp. 24091–24101, August 29, 2014 Author’s Choice © 2014 by The American Society for Biochemistry and Molecular Biology, Inc. Published in the U.S.A. The Recognition of Collagen and Triple-helical Toolkit Peptides by MMP-13 SEQUENCE SPECIFICITY FOR BINDING AND CLEAVAGE* Received for publication, May 30, 2014, and in revised form, July 2, 2014 Published, JBC Papers in Press, July 9, 2014, DOI 10.1074/jbc.M114.583443 Joanna-Marie Howes‡, Dominique Bihan‡, David A. Slatter‡, Samir W. Hamaia‡, Len C. Packman‡, Vera Knauper§, Robert Visse¶, and Richard W. Farndale‡1 From the ‡Department of Biochemistry, University of Cambridge, Downing Site, Cambridge CB2 1QW, United Kingdom, the §Cardiff University Dental School, Dental Drive, Cardiff CF14 4XY, United Kingdom, and the ¶Kennedy Institute of Rheumatology, Hammersmith, London W6 8LH, United Kingdom Background: MMP-13 recognizes poorly-defined sequences in collagens. Results: MMP-13 binds key residues in the canonical cleavage site and another site near the collagen N terminus. Conclusion: MMP-1 and MMP-13 differ in their recognition and cleavage of collagen, which is regulated primarily through the Downloaded from Hpx domain of MMP-13. Significance: Our data explain the preference of MMP-13 for collagen II. Remodeling of collagen by matrix metalloproteinases (MMPs) is right-handed collagen superhelix, which endows the molecule crucial to tissue homeostasis and repair. MMP-13 is a collagen- with resistance to degradation by most proteases. The fibrillar http://www.jbc.org/ ase with a substrate preference for collagen II over collagens I collagens I, II, and III contain a conserved triple-helical COL and III. -
Helix Stability of Oligoglycine, Oligoalanine, and Oligoalanine
proteins STRUCTURE O FUNCTION O BIOINFORMATICS Helix stability of oligoglycine, oligoalanine, and oligo-b-alanine dodecamers reflected by hydrogen-bond persistence Chengyu Liu,1 Jay W. Ponder,1 and Garland R. Marshall2* 1 Department of Chemistry, Washington University, St. Louis, Missouri 63130 2 Department of Biochemistry and Molecular Biophysics, Washington University, St. Louis, Missouri 63130 ABSTRACT Helices are important structural/recognition elements in proteins and peptides. Stability and conformational differences between helices composed of a- and b-amino acids as scaffolds for mimicry of helix recognition has become a theme in medicinal chemistry. Furthermore, helices formed by b-amino acids are experimentally more stable than those formed by a-amino acids. This is paradoxical because the larger sizes of the hydrogen-bonding rings required by the extra methylene groups should lead to entropic destabilization. In this study, molecular dynamics simulations using the second-generation force field, AMOEBA (Ponder, J.W., et al., Current status of the AMOEBA polarizable force field. J Phys Chem B, 2010. 114(8): p. 2549–64.) explored the stability and hydrogen-bonding patterns of capped oligo-b-alanine, oligoalanine, and oligo- glycine dodecamers in water. The MD simulations showed that oligo-b-alanine has strong acceptor12 hydrogen bonds, but surprisingly did not contain a large content of 312-helical structures, possibly due to the sparse distribution of the 312-helical structure and other structures with acceptor12 hydrogen bonds. On the other hand, despite its backbone flexibility, the b- alanine dodecamer had more stable and persistent <3.0 A˚ hydrogen bonds. Its structure was dominated more by multicen- tered hydrogen bonds than either oligoglycine or oligoalanine helices. -
Helix Capping'
Prorein Science (1998), 721-38. Cambridge University Press. Printed in the USA. Copyright 0 1998 The Protein Society REVIEW Helix capping' RAJEEV AURORA AND GEORGE D. ROSE Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, 725 N. Wolfe Street, Baltimore, Maryland 21205 (RECEIVED June12, 1997; ACCEPTEDJuly 9, 1997) Abstract Helix-capping motifs are specific patterns of hydrogen bonding and hydrophobic interactions found at or near the ends of helices in both proteins and peptides. In an a-helix, the first four >N- H groups and last four >C=O groups necessarily lack intrahelical hydrogen bonds. Instead, such groups are often capped by alternative hydrogen bond partners. This review enlarges our earlier hypothesis (Presta LG, Rose GD. 1988. Helix signals in proteins. Science 240:1632-1641) to include hydrophobic capping. A hydrophobic interaction that straddles the helix terminus is always associated with hydrogen-bonded capping. From a global survey among proteins of known structure, seven distinct capping motifs are identified-three at the helix N-terminus and four at the C-terminus. The consensus sequence patterns of these seven motifs, together with results from simple molecular modeling, are used to formulate useful rules of thumb for helix termination. Finally, we examine the role of helix capping as a bridge linking the conformation of secondary structure to supersecondary structure. Keywords: alpha helix; protein folding; protein secondary structure The a-helixis characterized by consecutive, main-chain, i + i - 4 apolar residues in the a-helix and its flanking turn. This hydro- hydrogen bonds between each amide hydrogen and a carbonyl phobic component of helix capping was unanticipated. -
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.). -
DNA-Mediated Self-Assembly of Gold Nanoparticles on Protein Superhelix
bioRxiv preprint doi: https://doi.org/10.1101/449561; this version posted October 22, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. DNA-mediated self-assembly of gold nanoparticles on protein superhelix Tao Zhang∗,y,z and Ingemar Andréy yDepartment of Biochemistry and Structural Biology & Center for Molecular Protein Science, Lund University, P.O. Box 124, SE-221 00 Lund, Sweden zCurrent address: Max-Planck-Institute for Intelligent Systems, Heisenbergstraße 3, D-70569 Stuttgart, Germany E-mail: [email protected] Abstract Recent advances in protein engineering have enabled methods to control the self- assembly of protein on various length-scales. One attractive application for designed proteins is to direct the spatial arrangement of nanomaterials of interest. Until now, however, a reliable conjugation method is missing to facilitate site-specific position- ing. In particular, bare inorganic nanoparticles tend to aggregate in the presence of buffer conditions that are often required for the formation of stable proteins. Here, we demonstrated a DNA mediated conjugation method to link gold nanoparticles with protein structures. To achieve this, we constructed de novo designed protein fibers based on previously published uniform alpha-helical units. DNA modification rendered gold nanoparticles with increased stability against ionic solutions and the use of com- plementary strands hybridization guaranteed the site-specific binding to the protein. The combination of high resolution placement of anchor points in designed protein assemblies with the increased control of covalent attachment through DNA binding 1 bioRxiv preprint doi: https://doi.org/10.1101/449561; this version posted October 22, 2018. -
Folding-TIM Barrel
Protein Folding Practical September 2011 Folding up the TIM barrel Preliminary Examine the parallel beta barrel that you constructed, noting the stagger of the strands that was needed to connect the ends of the 8-stranded parallel beta sheet into the 8-stranded beta barrel. Notice that the stagger dictates which side of the sheet is on the inside and which is on the outside. This will be key information in folding the complete TIM linear peptide into the TIM barrel. Assembling the full linear peptide 1. Make sure the white beta strands are extended correctly, and the 8 yellow helices (with the green loops at each end) are correctly folded into an alpha helix (right handed with H-bonds to the 4th ahead in the chain). 2. starting with a beta strand connect an alpha helix and green loop to make the blue-red connecting peptide bond. Making sure that you connect the carbonyl (red) end of the beta strand to the amino (blue) end of the loop-helix-loop. Secure the just connected peptide bond bond with a twist-tie as shown. 3. complete step 2 for all beta strand/loop-helix-loop pairs, working in parallel with your partners 4. As pairs are completed attach the carboxy end of the strand- loop-helix-loop to the amino end of the next strand-loop-helix-loop module and secure the new peptide bond with a twist-tie as before. Repeat until the full linear TIM polypeptide chain is assembled. Make sure all strands and helices are still in the correct conformations. -
Protein Physics A
PROTEIN PHYSICS A. V. Finkelstein & O. B. Ptitsyn LECTURE 7 Secondary Structures ¾ Regular Secondary Structures - helices (not just α-helix) - β-sheet - superhelices ¾ Irregular Secondary Structure - β-turns - β-bulges Secondary Structures Helices - one continuous region of the polypeptide - stabilized by hydrogen bonds between carbonyl and amide groups and van der Waals interactions across the helical axis (i,i+2) (i,i+3) (i,i+4) (i,i+5) L-handed There are helices without any hydrogen bonds, stabilized only by van der Waals interactions ( synthetic: Poly(Pro)I-II, Poly(Gly)I-II) R-handed Structure Residues per Rise per Radius of Observed turn residue (Å) helix (Å) 310 - helix +3.0 2.0 1.9 Small pieces αR -helix +3.6 1.5 2.3 Abundant αL -helix -3.6 1.5 2.3 absent π-helix +4.3 1.1 2.8 absent β -2.3 3.2 1.0 Abundant β -2.3 3.4 1.0 Abundant Collagen helix -3 2.9 1.6 In fibers αR – helix is the most abundant and the most stable Helices Alpha(R) - helix • 4 – 100 components • average length ~10 residues, corresponding to 15Å • the helix is a long dipole; N-terminus is capped by negative phosphate groups C- • tendency to appear in an alpha helix: Met, Ala, Leu, Lys, Gln •Proline– tends to bend/break helices, though often appears as the first residue of the helix •Glycine– tends to disrupt the helix, it is entropically expensive state N+ ALA, etc. GLY only Location of an α - helix Helical Wheel – axis view 11 11 11 7 7 7 4 10 4 4 10 3 3 10 3 8 1 8 1 1 8 6 6 2 6 2 5 2 5 5 9 9 9 K-E-D-A-K-G-K-S-E-E-E L-S-F-A-A-A-M-N-G-L-A totally buried I-N-E-G-F-D-L-L-R-S-G -
Predicting Protein Secondary and Supersecondary Structure
29 Predicting Protein Secondary and Supersecondary Structure 29.1 Introduction............................................ 29-1 Background • Difficulty of general protein structure prediction • A bottom-up approach 29.2 Secondary structure ................................... 29-5 Early approaches • Incorporating local dependencies • Exploiting evolutionary information • Recent developments and conclusions 29.3 Tight turns ............................................. 29-13 29.4 Beta hairpins........................................... 29-15 29.5 Coiled coils ............................................. 29-16 Early approaches • Incorporating local dependencies • Predicting oligomerization • Structure-based predictions • Predicting coiled-coil protein interactions Mona Singh • Promising future directions Princeton University 29.6 Conclusions ............................................ 29-23 29.1 Introduction Proteins play a key role in almost all biological processes. They take part in, for example, maintaining the structural integrity of the cell, transport and storage of small molecules, catalysis, regulation, signaling and the immune system. Linear protein molecules fold up into specific three-dimensional structures, and their functional properties depend intricately upon their structures. As a result, there has been much effort, both experimental and computational, in determining protein structures. Protein structures are determined experimentally using either x-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy. While -
Lecture 7 Protein Secondary Structure Prediction
Protein primary structure C Master Course E N DNA/Protein Structure- 20 amino acid types A generic residue Peptide bond T R E function Analysis and F B O I Prediction R O I I N N T F E O G R R M Lecture 7 SARS Protein From Staphylococcus Aureus A A 1 MKYNNHDKIR DFIIIEAYMF RFKKKVKPEV T T 31 DMTIKEFILL TYLFHQQENT LPFKKIVSDL I I 61 CYKQSDLVQH IKVLVKHSYI SKVRSKIDER V C 91 NTYISISEEQ REKIAERVTL FDQIIKQFNL E S 121 ADQSESQMIP KDSKEFLNLM MYTMYFKNII V Protein Secondary 151 KKHLTLSFVE FTILAIITSQ NKNIVLLKDL U 181 IETIHHKYPQ TVRALNNLKK QGYLIKERST 211 EDERKILIHM DDAQQDHAEQ LLAQVNQLLA Structure Prediction 241 DKDHLHLVFE Protein secondary structure Alpha-helix Beta strands/sheet Secondary Structure • An easier question – what is the secondary structure when the 3D structure is known? SARS Protein From Staphylococcus Aureus 1 MKYNNHDKIR DFIIIEAYMF RFKKKVKPEV DMTIKEFILL TYLFHQQENT SHHH HHHHHHHHHH HHHHHHTTT SS HHHHHHH HHHHS S SE 51 LPFKKIVSDL CYKQSDLVQH IKVLVKHSYI SKVRSKIDER NTYISISEEQ EEHHHHHHHS SS GGGTHHH HHHHHHTTS EEEE SSSTT EEEE HHH 101 REKIAERVTL FDQIIKQFNL ADQSESQMIP KDSKEFLNLM MYTMYFKNII HHHHHHHHHH HHHHHHHHHH HTT SS S SHHHHHHHH HHHHHHHHHH 151 KKHLTLSFVE FTILAIITSQ NKNIVLLKDL IETIHHKYPQ TVRALNNLKK HHH SS HHH HHHHHHHHTT TT EEHHHH HHHSSS HHH HHHHHHHHHH 201 QGYLIKERST EDERKILIHM DDAQQDHAEQ LLAQVNQLLA DKDHLHLVFE HTSSEEEE S SSTT EEEE HHHHHHHHH HHHHHHHHTS SS TT SS DSSP • DSSP (Dictionary of Secondary Structure of a Protein) – assigns secondary structure to proteins which have a crystal (x-ray) or NMR (Nuclear Magnetic Resonance) A more challenging task: structure Predicting secondary structure from H = alpha helix primary sequence alone B = beta bridge (isolated residue) DSSP uses hydrogen-bonding E = extended beta strand structure to assign Secondary Structure Elements (SSEs). -
Effects of Side Chains in Helix Nucleation Differ from Helix Propagation
Effects of side chains in helix nucleation differ from helix propagation Stephen E. Miller, Andrew M. Watkins, Neville R. Kallenbach, and Paramjit S. Arora1 Department of Chemistry, New York University, New York, NY 10003 Edited* by S. Walter Englander, University of Pennsylvania, Philadelphia, PA, and approved March 25, 2014 (received for review December 11, 2013) Helix–coil transition theory connects observable properties of the of local sequence effects (14). The ability to differentiate indi- α-helix to an ensemble of microstates and provides a foundation vidual σ values from individual s values could provide a deeper for analyzing secondary structure formation in proteins. Classical understanding of the impact of individual side chains on helix models account for cooperative helix formation in terms of an formation than provided by current models (6, 12). energetically demanding nucleation event (described by the σ con- Here, we describe an approach that estimates the population stant) followed by a more facile propagation reaction, with corre- of N-terminal tripeptide sequences organized in an α-helix sponding s constants that are sequence dependent. Extensive nucleus as a function of individual guest residues. The key studies of folding and unfolding in model peptides have led to difference between this investigation and classical measures of the determination of the propagation constants for amino acids. propensity is that our approach assesses the ability of a given However, the role of individual side chains in helix nucleation has residue to favor or disfavor nucleation; literature propensities not been separately accessible, so the σ constant is treated as in- are largely derived by measuring how the stability of a preformed dependent of sequence.