Structure and Dynamics of Chitin Nanofibrils in Aqueous Environment Revealed by Molecular Dynamics Simulations

Similar documents
Nucleotides containing variously modified sugars: energetics, structure, and mechanical properties

Tailoring the Properties of Quadruplex Nucleobases for Biological and Nanomaterial Applications

Supporting Information

Supporting Information. Chemical Feasibility of the General Acid/Base Mechanism of glms Ribozyme Self-Cleavage

- 1 - Institute of Organic Chemistry and Biochemistry AS CR, v.v.i., Flemingovo náměstí 2, CZ, Praha, Czech Republic

Biochemistry,530:,, Introduc5on,to,Structural,Biology, Autumn,Quarter,2015,

Potential Energy Surface and Binding Energy in External Electric Field: Modulation of Anion π Interactions for Graphene Based Receptors

Lecture 2-3: Review of forces (ctd.) and elementary statistical mechanics. Contributions to protein stability

16 years ago TODAY (9/11) at 8:46, the first tower was hit at 9:03, the second tower was hit. Lecture 2 (9/11/17)

Some properties of water

Enhancing Specificity in the Janus Kinases: A Study on the Thienopyridine. JAK2 Selective Mechanism Combined Molecular Dynamics Simulation

Modeling Ultrafast Deactivation in Oligothiophenes via Nonadiabatic Dynamics

Synthesis of two copper clusters and their catalysis towards the oxidation of benzene

Supplementary Information

HOMOLOGY MODELING. The sequence alignment and template structure are then used to produce a structural model of the target.

SUPPLEMENTARY INFORMATION An Empirical IR Frequency Map for Ester C=O Stretching Vibrations

BIOC : Homework 1 Due 10/10

Supplement information

Water-methanol separation with carbon nanotubes and electric fields

Lecture 1. Conformational Analysis in Acyclic Systems

Supplementary Information

Potential Energy (hyper)surface

Supplementary Material

Biophysics II. Hydrophobic Bio-molecules. Key points to be covered. Molecular Interactions in Bio-molecular Structures - van der Waals Interaction

schematic diagram; EGF binding, dimerization, phosphorylation, Grb2 binding, etc.

DISCRETE TUTORIAL. Agustí Emperador. Institute for Research in Biomedicine, Barcelona APPLICATION OF DISCRETE TO FLEXIBLE PROTEIN-PROTEIN DOCKING:

Insights into Protein Protein Binding by Binding Free Energy Calculation and Free Energy Decomposition for the Ras Raf and Ras RalGDS Complexes

Molecular Mechanics. I. Quantum mechanical treatment of molecular systems

Solutions to Assignment #4 Getting Started with HyperChem

Applications of Molecular Dynamics

Solutions and Non-Covalent Binding Forces

Electronic Supplementary Information Effective lead optimization targeted for displacing bridging water molecule

Lecture 2 and 3: Review of forces (ctd.) and elementary statistical mechanics. Contributions to protein stability

Supporting Information Computational Part

Macrocyclization of Peptide Side Chains by Ugi Reaction: Achieving Peptide

Biochemistry 530: Introduction to Structural Biology. Autumn Quarter 2014 BIOC 530

Patrick: An Introduction to Medicinal Chemistry 5e Chapter 01

Supplementary Information

COSMO-RS Theory. The Basics

Chapter 1. Topic: Overview of basic principles

Nitrile Groups as Hydrogen-Bond Acceptors in a Donor-Rich Hydrogen-Bonding Network. Supplementary Information

Some properties of water

Supplementary Methods

Other Cells. Hormones. Viruses. Toxins. Cell. Bacteria

Current address: Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong,

Insights into the Biotransformation of 2,4,6- Trinitrotoluene by the Old Yellow Enzyme Family of Flavoproteins. A Computational Study

L718Q mutant EGFR escapes covalent inhibition by stabilizing. a non-reactive conformation of the lung cancer drug. osimertinib

Supporting Information

Section 10/5/06. Junaid Malek, M.D.

1 Introduction to Computational Chemistry (Spartan)

Hydrogen Bonding & Molecular Design Peter

Computational engineering of cellulase Cel9A-68 functional motions through mutations in its linker region. WT 1TF4 (crystal) -90 ERRAT PROVE VERIFY3D

Figure 1. Molecules geometries of 5021 and Each neutral group in CHARMM topology was grouped in dash circle.

Free energy, electrostatics, and the hydrophobic effect

Finite Ring Geometries and Role of Coupling in Molecular Dynamics and Chemistry

POGIL: Principles of Solubility

Structural and mechanistic insight into the substrate. binding from the conformational dynamics in apo. and substrate-bound DapE enzyme

Solvent & geometric effects on non-covalent interactions

PROTEIN STRUCTURE AMINO ACIDS H R. Zwitterion (dipolar ion) CO 2 H. PEPTIDES Formal reactions showing formation of peptide bond by dehydration:

Keto-Enol Thermodynamics of Breslow Intermediates

Introduction into Biochemistry. Dr. Mamoun Ahram Lecture 1

Chemistry 123: Physical and Organic Chemistry Topic 1: Organic Chemistry

Analysis of the simulation

Vol. 114 (2008) ACTA PHYSICA POLONICA A No. 6 A

Supplementary information Silver (I) as DNA glue: Ag + - mediated guanine pairing revealed by removing Watson- Crick constraints

Electronic Supplementary Information

Atomic and molecular interaction forces in biology

Organic Chemistry. Alkanes (2)

Bonding and Dynamics. Outline Bonding and Dynamics Water Interactions Self Ionization of Water Homework

Unfolding CspB by means of biased molecular dynamics

Introductory Biochemistry

Experimental and Computational Mutagenesis to Investigate the. Positioning of a General Base within an Enzyme Active Site

Organic Chemistry Peer Tutoring Department University of California, Irvine

Alkane/water partition coefficients and hydrogen bonding. Peter Kenny

Metal oxide-organic frameworks (MOOFs), a new series of coordination hybrids constructed from molybdenum(vi) oxide and bitopic 1,2,4-triazole linkers

Dr. Mishu Singh Chemistry Department Maharana Paratap Govt. P.G College Hardoi.

Supporting Information for

Molecules for organic electronics: intermolecular interactions vs properties

Destruction of Amyloid Fibrils by Graphene through Penetration and Extraction of Peptides

Supplementary Information

M09/4/CHEMI/HPM/ENG/TZ2/XX+ CHEMISTRY. Monday 18 May 2009 (afternoon) 1 hour INSTRUCTIONS TO CANDIDATES

What makes a good graphene-binding peptide? Adsorption of amino acids and peptides at aqueous graphene interfaces: Electronic Supplementary

Factors That Affect the Degree of Twist in β-sheet Structures: A Molecular Dynamics Simulation Study of a Cross-β Filament of the GNNQQNY Peptide

Free Radical-Initiated Unfolding of Peptide Secondary Structure Elements

NMR parameters intensity chemical shift coupling constants 1D 1 H spectra of nucleic acids and proteins

Photochemical & Photobiological Sciences

Bulk behaviour. Alanine. FIG. 1. Chemical structure of the RKLPDA peptide. Numbers on the left mark alpha carbons.

Journal Name ARTICLE. ESI for: CHARMM force field parameterization protocol for selfassembling peptide amphiphiles: The Fmoc moiety

Atomic Structures of the Molecular Components in DNA and. RNA based on Bond Lengths as Sums of Atomic Radii

FIRST PUBLIC EXAMINATION. Trinity Term Preliminary Examination in Chemistry SUBJECT 3: PHYSICAL CHEMISTRY. Time allowed: 2 ½ hours

Supporting Information Soft Nanoparticles: Nano Ionic Networks of Associated Ionic Polymers

Supporting Online Material for

Chem. 27 Section 1 Conformational Analysis Week of Feb. 6, TF: Walter E. Kowtoniuk Mallinckrodt 303 Liu Laboratory

CHAPTER 2. Structure and Reactivity: Acids and Bases, Polar and Nonpolar Molecules

J name Supplementary information Direct synthesis of graphene from adsorbed organic solvent molecules over copper

Electronic Supplementary Information

The Molecules of Life Chapter 2

Synthesis of ethanol from paraformaldehyde, CO 2 and H 2

Antiproliferative, antioxidant, computational and electrochemical studies of new azo-containing Schiff Base Ruthenium(II) complexes

Interactions. Chemical misconceptions 137. Target level. Topics. Rationale. Resources. Feedback for students

Transcription:

Electronic Supplementary Material (ESI) for RSC Advances. This journal is The Royal Society of Chemistry 2016 Structure and Dynamics of Chitin Nanofibrils in Aqueous Environment Revealed by Molecular Dynamics Simulations Zora Střelcová, ab Petr Kulhánek, ab Martin Friák, cd Helge-Otto Fabritius, c Michal Petrov, c Jörg Neugebauer, c and Jaroslav Koča *ab a) CEITEC - Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic b) National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic c) Max-Planck-Institut für Eisenforschung GmbH, Max-Planck-Straße 1, 402 37 Düsseldorf, Germany d) Institute of Physics of Materials, Academy of Sciences of the Czech Republic, Žižkova 22, 616 00 Brno, Czech Republic Electronic Supplementary Information (ESI) Corresponding author: jaroslav.koca@ceitec.muni.cz 1

Table S1 Composition of simulated systems. Number of System Chitin Chains Chitin Atoms All Atoms R in [Å] 1000 1 543 123696 48.0 1110 3 1629 135609 49.5 2200 4 2172 136137 49.5 2220 6 3258 135687 49.5 3300 6 3258 136200 49.5 3330 9 4887 140496 50.0 4400 8 4344 136362 49.5 6000 6 3258 162870 53.0 6600 12 6516 145599 51.0 6760 19 10317 153705 51.9 8998 34 18462 163032 52.7 R in radius of the largest inscribed sphere into the simulation box 2

Figure S1 Comparison of the switch function (blue) and histograms (red) of distances of hydrogen bond donor and acceptor atoms. The histograms are arbitrarily scaled and the switch function is shown for one hydrogen bond only. The two top rows represent specific hydrogen bonds, the bottom row represent a selected non-specific hydrogen bond. Figure S2 Distribution of the (D-H A) angle of selected hydrogen bonds for values of HB higher than 0.01 per a single hydrogen bond. The blue vertical line (110 ) is a minimal value recommended by IUPAC. 3

Table S2 Performance of our <HB> and <HB c > conventional approaches for determination of number of hydrogen bonds. Criteria are the distance between the donor D and acceptor A atoms (please note that in our definition we use distance between the hydrogen H and the acceptor A atoms) and the angle between the donor, hydrogen, and acceptor atoms. RD is relative difference towards <HB>. 3330 8998 3.0 Å/135 3.5 Å/120 3.0 Å/135 3.5 Å/120 <HB> <HB c > RD [%] <HB c > RD [%] <HB> <HB c > RD [%] <HB c > RD [%] O5-H3O 166.4 150.8 9.4 165.1 0.8 634.0 579.8 8.5 631.2 0.4 O2N-H2N 113.4 86.3 23.9 114.2-0.7 567.3 431.1 24.0 565.2 0.4 O2N-H6O 28.6 24.2 15.5 29.3-2.4 192.7 166.5 13.6 196.6-2.0 O6-H6O 59.0 45.4 23.1 61.0-3.3 266.3 191.2 28.2 279.4-4.7 Figure S3 Time evolution of RMSD (left); normalized histograms of RMSD (right). 4

Figure S4 Distributions of the and ring-puckering coordinates on the sugar rings (C1, C2, C3, C4, C5, and O5). Figure S5 Distributions of the and ring-puckering coordinates on pseudo-rings formed by the O4 n, C4 n, C3 n, O3 n, O5 n+1 and C1 n+1 atoms. These rings are formed by the H3O-O5 hydrogen bonds. Due to technical restrictions related to ringpuckering coordinates, the H3O atom is excluded from the calculations of the coordinates. 5

Table S3 Relationship between number of hydrogen bonds (<HB>) and number of stacked layers exposed to the solvent (l w ) or the internal area of the fibril (l i ). <HB> p is predicted number of hydrogen bonds by the model and RMSE is the root-meansquare error of the prediction. O2N-H6O O6-H60 system l w l i <HB> <HB> p <HB> <HB> p 2200 2 2 9.126 9.91 10.89 14.42 2220 2 4 13.48 17.75 13.48 25.57 3300 4 4 18.66 19.83 31.79 28.85 3330 4 8 28.63 35.50 59.01 51.14 4400 6 6 26.09 29.74 44.27 43.27 6000 10 0 16.19 10.39 12.53 16.37 6600 10 10 45.63 49.57 67.58 72.11 6760 12 20 89.73 90.83 143.50 131.13 8998 16 44 192.7 189.03 266.30 271.47 RMSE 4.01 7.03 R 2 =0.996 R 2 =0.992 Figure S6 Correlation of the source <HB> and predicted <HB> p number of hydrogen bonds. 6

Table S4 Statistics of non-specific hydrogen bonds. O6-H3O O6-H2N system n <HB> (HB) <HB>/n <HB> (HB) <HB>/n 1000 1 0.23 0.31 0.23 0.00 0.05 0.00 1110 3 1.93 1.04 0.64 6.55 3.14 2.18 2200 4 3.77 1.47 0.94 0.13 0.28 0.03 2220 6 3.73 1.29 0.62 0.09 0.20 0.01 3300 6 4.44 1.39 0.74 0.06 0.16 0.01 3330 9 5.60 1.69 0.62 0.07 0.15 0.01 4400 8 7.85 1.96 0.98 0.12 0.23 0.01 6000 6 4.96 1.65 0.83 0.14 0.25 0.02 6600 12 10.45 2.50 0.87 0.19 0.30 0.02 6760 19 9.89 2.08 0.52 0.08 0.14 0.00 8998 34 13.45 3.64 0.40 0.10 0.15 0.00 O3-H6O O3-H2N system n <HB> (HB) <HB>/n <HB> (HB) <HB>/n 1000 1 0.08 0.21 0.08 0.11 0.13 0.11 1110 3 2.74 1.19 0.91 1.09 0.87 0.36 2200 4 0.88 0.76 0.22 0.59 0.68 0.15 2220 6 0.92 0.76 0.15 0.34 0.35 0.06 3300 6 2.09 1.16 0.35 0.73 0.53 0.12 3330 9 1.87 1.16 0.21 0.41 0.32 0.05 4400 8 3.61 1.71 0.45 1.82 1.35 0.23 6000 6 1.60 1.11 0.27 2.04 1.33 0.34 6600 12 4.82 2.01 0.40 2.47 1.13 0.21 6760 19 2.97 1.42 0.16 0.78 0.25 0.04 8998 34 3.95 2.25 0.12 1.07 0.29 0.03 O2N-H3O system n <HB> (HB) <HB>/n 1000 1 0.04 0.16 0.04 1110 3 6.08 3.55 2.03 2200 4 0.17 0.36 0.04 2220 6 0.30 0.52 0.05 3300 6 0.21 0.39 0.03 3330 9 0.31 0.48 0.03 4400 8 0.26 0.43 0.03 6000 6 0.26 0.44 0.04 6600 12 0.41 0.55 0.03 6760 19 0.46 0.58 0.02 8998 34 0.70 0.73 0.02 n number of chitin chains; <HB> average number of hydrogen bonds; (HB) variance (fluctuation) of number of hydrogen bonds; <HB>/n average value of number of hydrogen bonds related to a single chitin chain 7

Figure S7 Selected structures of the 1110 system observed at different times during the MD simulations with highlighted hydrogen bonds: specific hydrogen bonds (orange) and non-specific hydrogen bonds (green). Emerging stacked regions are highlighted in ovals. The chain backbones are shown as gray tubes. 8

Figure S8 Distributions of dihedral angle showing orientation of the N- acetylamine group and dihedral angle showing population of rotamers on the C5-C6 bonds. Table S5 Population of rotamers on the C5-C6 bond. rotamer system -171-83 60 ratio(-171 /60 ) 1000 0.33 0.01 0.66 0.49 1110 0.38 0.02 0.61 0.63 2200 0.42 0.00 0.57 0.74 2220 0.39 0.00 0.61 0.64 3300 0.41 0.00 0.59 0.69 3330 0.37 0.00 0.63 0.60 4400 0.44 0.01 0.56 0.79 6000 0.34 0.00 0.66 0.51 6600 0.40 0.01 0.59 0.68 6760 0.31 0.00 0.69 0.46 8998 0.21 0.00 0.78 0.27 Figure S9 Distributions of glycosidic bond dihedral angles and. 9

Parameters that do not correlate with the pseudo-dihedral angle The distribution of dihedral angle exhibits a Gaussian distribution for the majority of the systems, but for some of them it is split into two strongly overlapping distributions (this is most noticeable for the 6000 system) (Figure S7 left). This splitting indicates that there are at least two very close rotamer states. One of them appears to be the result of a lack of stabilization between adjacent stacked layers (in the b direction), which is most obvious with the 6000 system. The average values range from 111 to 117 and they only poorly correlate with the pseudo-dihedral angle, with an R 2 of 0.85. Since the acetamide group is involved in the formation of hydrogen bonds formed by the O2N-H2N and O2N-H6O atom pairs, we also tested the correlation of their average values with the pseudo-dihedral angle. Their correlation was even worse, with R 2 of 0.7 and 0.6, respectively. The distribution of the dihedral angle shows two distinct rotamer states (Figure S7 right). The most populated state has its maximum at 60, while the second state has its maximum at about -171. In a few systems, a third rotamer state appears at about -83, but with a very low population. With varying the size of the nanofibrils, the ratio between both states varies (Table S4) from nearly 1:1 (2200 and 4400) to 1:3 (8998). The ratio does not correlate well with the pseudo-dihedral angle (R 2 is 0.4). Unexpectedly, this is also the case with the amount of hydrogen bonds between the O2N-H6O and O6-H60 atom pairs. In the latter case, one could expect a correlation between the orientation of the CH 2 -OH and the number of hydrogen bonds that include acceptor and donor atoms from this group. The most likely reason for this observation is that these hydrogen bonds are weaker and strongly influenced by the presence of the solvent. Table S6 Correlation between pseudo-dihedral angle and selected structural descriptors. <HB>/n or <HB>/l C5-C6 pseudo-ring system < > < > O2N-H2N O2N-H6O O5-H3O rot. ratio < > < > < > 2200 236.2 116.6 18.1 0.5 17.9 0.741-139.7-83.4 150.7 2220 100.3 114.8 18.7 1.1 18.3 0.637-145.0-86.8 160.9 3300 117.7 113.9 18.2 1.0 18.5 0.685-145.5-86.2 161.7 3330 59.2 113.2 18.9 1.9 18.5 0.595-148.0-88.0 166.1 4400 112.4 114.3 18.1 1.0 18.4 0.795-146.4-86.2 163.8 6000 169.4 117.4 18.0 0.7 18.2 0.505-142.7-85.3 157.0 6600 99.9 114.5 18.2 1.1 18.4 0.681-146.9-86.6 164.8 6760 15.4 111.3 19.3 7.2 18.6 0.455-149.9-89.1 169.3 8998 11.3 111.5 18.9 9.8 18.6 0.273-150.9-89.2 169.1 R 2 0.854 0.700 0.588 0.940 0.398 0.970 0.989 0.952 average value of pseudo-dihedral angle showing axial twist distortion; < > average value of dihedral angle showing orientation of the N-acetylamine group; <HB> average number of hydrogen bonds; n number of chitin chains; l number of stacked layers; rot. ratio ratio between -171 /60 rotamers on C5- C6 bond; average value of glycosidic bond dihedral angle; average value of glycosidic bond dihedral angle; average value of ring-puckering coordinate on pseudo-rings formed by the O4 n, C4 n, C3 n, O3 n, O5 n+1 and C1 n+1 atoms; R 2 Pearson correlation coefficient between given property and 10

R 2 =0.980 =0.048-151.02 R 2 =0.990 =0.0258x-89.37 Figure S10 Correlation between glycosidic bond dihedral angles and and the axial chirality dihedral angle. Figure S11 Contributions to the potential energy caused by rotation on glycosidic bonds described by dihedral angles and Each potential is composed from three contributions: [C4 n, O4 n, C1 n+1, O5 n+1 (+0.0); C4 n, O4 n, C1 n+1, H1 n+1 (+120.0); C4 n, O4 n, C1 n+1, C2 n+1 (-120.0)] and [C5 n, C4 n, O4 n, C1 n+1 (+0.0); H4 n, C4 n, O4 n, C1 n+1 (+120.0); C3 n, C4 n, O4 n, C1 n+1 (-120.0)]. Values in brackets are dihedral angle offsets as results of sp 3 configuration of C1 and C4 carbon atoms. The vertical lines represent extrapolated values of and for zero value of axial chirality dihedral angle. 11

Figure S12 Time evolution of the twist angle for the three selected systems. 12

Figure S13 Distribution of trajectory snapshot projections (p) on the five largest essential modes (M1-M5). 13

Table S7 Energy contributions to the reaction enthalpy related per a single chitin chain. system < E int,r >/n < E ele,r >/n < E vdw,r >/n H r /n 1110 2.4-77.6-80.7-155.8 2200-4.1-120.2-116.8-241.1 2220-5.1-147.9-139.4-292.4 3300-4.0-177.0-172.3-353.2 3330-5.0-187.4-187.5-380.0 4400-2.9-194.9-193.4-391.2 6000-2.1-182.5-158.2-342.8 6600-1.0-215.2-213.7-429.9 6760-5.3-238.5-234.7-478.6 8998-4.7-256.6-257.2-518.4 E int,r -.change of internal energy (bonds, angles, dihedral angles); E ele,r change of electrostatic energy; E vdw,r change of van der Waals energy, H r total reaction enthalpy; n number of chitin chains in the nanofibril; all energies in kcal mol -1 Figure S14 Dependence of reaction enthalpy related per a single chitin chain and its contributions on number of chitin chains n in the nanofibril. Lines are meant to only highlight progress of individual energy contributions. 14

Table S8 Change in reaction enthalpy H r, electrostatic G el,r and nonelectrostatic G ne,r contributions of solvation free reaction energies and total free reaction energy G r related to a single chitin chain without the entropy contribution. MM/PBSA system n H r /n < G el,r >/n < G ne,r >/n < G r >/n 1110 3-155.8 110.2-9.3-54.9 2200 4-241.1 156.6-12.6-97.1 2220 6-292.4 190.1-15.1-117.4 3300 6-353.2 228.3-16.6-141.5 3330 9-380.0 247.2-18.2-150.9 4400 8-391.2 256.5-18.1-152.7 6000 6-342.8 225.7-15.3-132.3 6600 12-429.9 284.0-19.4-165.4 6760 19-478.6 312.4-21.2-187.4 8998 34-518.4 336.3-22.5-204.7 n number of chains in the nanofibril; all energies in kcal mol -1 15

Table S9 Change of reaction translational and rotational entropy S tr,r /n, vibrational entropy S v,r /n, total reaction entropy S r /n, and associated energy -T S r /n related per a single chitin chain. system n S tr,r /n S v,r /n S r /n -T S r /n 1000 1 0 0 0.0 0.0 1110 3-66.1-14.4-80.5 24.2 2200 4-74.9-77.2-152.1 45.6 2220 6-83.8-116.8-200.6 60.2 3300 6-83.9-144.1-227.9 68.4 3330 9-89.9-145.5-235.4 70.6 4400 8-88.4-147.2-235.6 70.7 6000 6-83.8-122.0-205.8 61.7 6600 12-93.0-148.6-241.7 72.5 6760 19-96.5-159.2-255.8 76.7 8998 34-99.3-166.5-265.8 79.7 n number of chitin chains in the nanofibril; all entropy in cal mol -1 K -1 ; all energy in kcal mol -1. Figure S15 Dependence of change of reaction translational and rotational entropy S tr,r /n, vibrational entropy S v,r /n, total reaction entropy S r /n related per a single chitin chain on number of chitin chains n in the nanofibril. Lines are meant to only highlight progress of individual entropy contributions. 16