The Relation between α-Helical Conformation and Amyloidogenicity

Slides:



Advertisements
Similar presentations
Eric M. Jones, Thomas C. Squier, Colette A. Sacksteder 
Advertisements

Pedro R. Magalhães, Miguel Machuqueiro, António M. Baptista 
Volume 112, Issue 7, Pages (April 2017)
Volume 83, Issue 3, Pages (September 2002)
Β-Hairpin Folding Mechanism of a Nine-Residue Peptide Revealed from Molecular Dynamics Simulations in Explicit Water  Xiongwu Wu, Bernard R. Brooks  Biophysical.
Molecular Dynamics Free Energy Calculations to Assess the Possibility of Water Existence in Protein Nonpolar Cavities  Masataka Oikawa, Yoshiteru Yonetani 
Structure and Dynamics of Calmodulin in Solution
Investigating How Peptide Length and a Pathogenic Mutation Modify the Structural Ensemble of Amyloid Beta Monomer  Yu-Shan Lin, Gregory R. Bowman, Kyle A.
Elucidating the Locking Mechanism of Peptides onto Growing Amyloid Fibrils through Transition Path Sampling  Marieke Schor, Jocelyne Vreede, Peter G.
Carlos R. Baiz, Andrei Tokmakoff  Biophysical Journal 
Volume 90, Issue 1, Pages (January 2006)
Relation between the Conformational Heterogeneity and Reaction Cycle of Ras: Molecular Simulation of Ras  Chigusa Kobayashi, Shinji Saito  Biophysical.
Theoretical and Computational Investigation of Flagellin Translocation and Bacterial Flagellum Growth  David E. Tanner, Wen Ma, Zhongzhou Chen, Klaus.
Hydration and DNA Recognition by Homeodomains
Mechanism and Energetics of Charybdotoxin Unbinding from a Potassium Channel from Molecular Dynamics Simulations  Po-chia Chen, Serdar Kuyucak  Biophysical.
Effects of Hofmeister Ions on the α-Helical Structure of Proteins
Volume 95, Issue 6, Pages (September 2008)
Mechanism of the αβ Conformational Change in F1-ATPase after ATP Hydrolysis: Free- Energy Simulations  Yuko Ito, Mitsunori Ikeguchi  Biophysical Journal 
Brittny C. Davis, Jodian A. Brown, Ian F. Thorpe  Biophysical Journal 
Volume 90, Issue 1, Pages (January 2006)
Carlos R. Baiz, Andrei Tokmakoff  Biophysical Journal 
Volume 98, Issue 8, Pages (April 2010)
Binding of the Bacteriophage P22 N-Peptide to the boxB RNA Motif Studied by Molecular Dynamics Simulations  Ranjit P. Bahadur, Srinivasaraghavan Kannan,
Statistical Prediction and Molecular Dynamics Simulation
Volume 89, Issue 3, Pages (September 2005)
Sukanya Sasmal, James Lincoff, Teresa Head-Gordon  Biophysical Journal 
Andrew H. Huber, W.James Nelson, William I. Weis  Cell 
Volume 96, Issue 7, Pages (April 2009)
Volume 89, Issue 4, Pages (October 2005)
Calcium Enhances Binding of Aβ Monomer to DMPC Lipid Bilayer
Qian Steven Xu, Rebecca B. Kucera, Richard J. Roberts, Hwai-Chen Guo 
William Welch, Shana Rheault, Duncan J. West, Alan J. Williams 
Simone Furini, Carmen Domene  Biophysical Journal 
Comparative Molecular Dynamics Simulation Studies of Protegrin-1 Monomer and Dimer in Two Different Lipid Bilayers  Huan Rui, Jinhyuk Lee, Wonpil Im 
Volume 95, Issue 9, Pages (November 2008)
Volume 85, Issue 4, Pages (October 2003)
Sundeep S. Deol, Peter J. Bond, Carmen Domene, Mark S.P. Sansom 
The structure of an RNA dodecamer shows how tandem U–U base pairs increase the range of stable RNA structures and the diversity of recognition sites 
Volume 107, Issue 5, Pages (September 2014)
Molecular Interactions of Alzheimer's Biomarker FDDNP with Aβ Peptide
Sequence and Crowding Effects in the Aggregation of a 10-Residue Fragment Derived from Islet Amyloid Polypeptide  Eva Rivera, John Straub, D. Thirumalai 
Volume 95, Issue 9, Pages (November 2008)
Molecular Dynamics Simulations of Wild-Type and Mutant Forms of the Mycobacterium tuberculosis MscL Channel  Donald E. Elmore, Dennis A. Dougherty  Biophysical.
Grischa R. Meyer, Justin Gullingsrud, Klaus Schulten, Boris Martinac 
Cholesterol Modulates the Dimer Interface of the β2-Adrenergic Receptor via Cholesterol Occupancy Sites  Xavier Prasanna, Amitabha Chattopadhyay, Durba.
Hydrogen Bonding in Helical Polypeptides from Molecular Dynamics Simulations and Amide Hydrogen Exchange Analysis: Alamethicin and Melittin in Methanol 
Replica Exchange Molecular Dynamics Simulations Provide Insight into Substrate Recognition by Small Heat Shock Proteins  Sunita Patel, Elizabeth Vierling,
Rita Pancsa, Daniele Raimondi, Elisa Cilia, Wim F. Vranken 
Structural Flexibility of CaV1. 2 and CaV2
Velocity-Dependent Mechanical Unfolding of Bacteriorhodopsin Is Governed by a Dynamic Interaction Network  Christian Kappel, Helmut Grubmüller  Biophysical.
Thomas H. Schmidt, Yahya Homsi, Thorsten Lang  Biophysical Journal 
Volume 112, Issue 12, Pages (June 2017)
Chi H. Mak, Tyler Matossian, Wen-Yeuan Chung  Biophysical Journal 
Alice Qinhua Zhou, Diego Caballero, Corey S. O’Hern, Lynne Regan 
Volume 114, Issue 1, Pages (January 2018)
Robust Driving Forces for Transmembrane Helix Packing
Volume 74, Issue 1, Pages (January 1998)
Volume 88, Issue 1, Pages (January 2005)
Peter König, Rafael Giraldo, Lynda Chapman, Daniela Rhodes  Cell 
Volume 95, Issue 7, Pages (October 2008)
Mechanism of Interaction between the General Anesthetic Halothane and a Model Ion Channel Protein, III: Molecular Dynamics Simulation Incorporating a.
Sebastian Fritsch, Ivaylo Ivanov, Hailong Wang, Xiaolin Cheng 
Hydrophobic Core Formation and Dehydration in Protein Folding Studied by Generalized-Ensemble Simulations  Takao Yoda, Yuji Sugita, Yuko Okamoto  Biophysical.
Volume 101, Issue 4, Pages (August 2011)
Yinon Shafrir, Stewart R. Durell, H. Robert Guy  Biophysical Journal 
Andrey V Kajava, Gilbert Vassart, Shoshana J Wodak  Structure 
Volume 98, Issue 4, Pages (February 2010)
Seongwon Kim, Takako Takeda, Dmitri K. Klimov  Biophysical Journal 
Volume 98, Issue 3, Pages (February 2010)
Molecular Dynamics Simulation of a Synthetic Ion Channel
Presentation transcript:

The Relation between α-Helical Conformation and Amyloidogenicity Boris Haimov, Simcha Srebnik  Biophysical Journal  Volume 114, Issue 8, Pages 1869-1877 (April 2018) DOI: 10.1016/j.bpj.2018.03.019 Copyright © 2018 Biophysical Society Terms and Conditions

Figure 1 (a) Distribution of the lengths of α-helices in the PDB (a total of ∼1.96e6). (b) A distribution of α-helices with unique AA sequences (∼0.44e6) is shown. From the ratio 0.44/1.96, we find that only 22.4% of PDB α-helical sequences are unique or that 77.6% are redundant. The figures demonstrate that despite the strong redundancy, the distributions remain similar, with hexapeptide (6 AA-long) helices as the most abundant. To see this figure in color, go online. Biophysical Journal 2018 114, 1869-1877DOI: (10.1016/j.bpj.2018.03.019) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 2 (a) Illustration of (φ,ψ) Ramachandran dihedrals for a given AA transition (pair). Black circles represent carbon atoms, blue circles represent nitrogen atoms, red circles represent oxygen atoms, and purple circles represent side chains. (b) A distribution of PDB α-helical conformations is shown using Ramachandran dihedrals. (c) A distribution of PDB α-helical conformations is shown using (θ,ρ) pairs. The shades represent the abundance of the α-helical conformations: the darkest shade for least abundant and the brightest shade for most abundant conformations. The dark-blue shade in the background represents zero abundance. A total of ∼15.9e6 conformational pairs were sampled from the PDB with ∼15.8e6 pairs within the presented (φ,ψ) and (θ,ρ) ranges. To see this figure in color, go online. Biophysical Journal 2018 114, 1869-1877DOI: (10.1016/j.bpj.2018.03.019) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 3 Dependency of amyloidogenicity on θ and ρ for the three data sets: α-helices with conformations sampled directly from PDB (filled circles), PDB helices broken into hexapeptide α-helices with α-helical conformations estimated from the mean of the strongly peaked (θ, ρ) distribution (open circles), and randomly generated hexapeptide α-helices with estimated α-helical conformations (pentacles). The SEM of every bin is smaller than the marked symbol. To see this figure in color, go online. Biophysical Journal 2018 114, 1869-1877DOI: (10.1016/j.bpj.2018.03.019) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 4 Dependence of the average amyloidogenicity on peptide length for PDB helices. The mean amyloidogenicity value A = 0.55 represents the 50% threshold of hexapeptide sequences. To see this figure in color, go online. Biophysical Journal 2018 114, 1869-1877DOI: (10.1016/j.bpj.2018.03.019) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 5 (a) α-Helical backbone with nonbifurcated hydrogen bonds and with low θ results in exposed backbone and higher amyloidogenicity. (b) α-Helical backbone with bifurcated hydrogen bonds and with high θ results in a shielded backbone and lower amyloidogenicity. Dashed lines represent hydrogen bonds between carbonyl oxygen and amide hydrogen. Enlarged black spheres represent surrounding water molecules or neighboring side-chains that can establish hydrogen bonds with the backbone carbonyls. Residues are not shown, for clarity. Illustrations were prepared with visual molecular dynamics (48). (c) A schematic view of the α-helix basin on the Ramachandran map is shown. The α-helix basin is found near the Oi−1-Ni+1 sterically inaccessible region which is due to interactions between i + 1 amide nitrogen atoms (N) and i − 1 carbonyl oxygen atoms (O) along the α-helix backbone, where i represents the index of backbone amino acid residues. The tangent line between the sterically inaccessible region and the α-helix basin dictates the negative proportionality between ρ and θ for θ > 0. To see this figure in color, go online. Biophysical Journal 2018 114, 1869-1877DOI: (10.1016/j.bpj.2018.03.019) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 6 Distribution of estimated (θ,ρ) pairs of experimentally verified nonamyloidogenic sequences (triangles) and experimentally verified amyloidogenic sequences (squares). The average conformations of the nonamyloidogenic sequences and amyloidogenic sequences are shown by “−“ and “+,” respectively. A total of 1480 sequences was acquired from the AMYLOAD web server (15), with 1037 nonamyloidogenic and 443 amyloidogenic sequences. The distribution confirms that, on average, amyloidogenic sequences have lower θ and higher ρ than nonamyloidogenic sequences. To see this figure in color, go online. Biophysical Journal 2018 114, 1869-1877DOI: (10.1016/j.bpj.2018.03.019) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 7 Distribution of the homogeneous transitions of α-helical conformations. Single-letter amino acid (AA) codes are placed on the mean-calculated conformation. Letters correspond to AAs: uncharged polar (NQST), acidic (ED), basic (KRH), hydrophobic (AFILMVWY), and special (CGP). Dashed horizontal and vertical lines divide the conformational space into four quadrants, where the upper-left quadrant is the least amyloidogenic whereas the lower-right quadrant is the most amyloidogenic. Threshold values of θT ≈ 12.8° and ρT ≈ 3.61 [res/turn] correspond to an amyloidogenicity score of 0.55. To see this figure in color, go online. Biophysical Journal 2018 114, 1869-1877DOI: (10.1016/j.bpj.2018.03.019) Copyright © 2018 Biophysical Society Terms and Conditions