Genoa, Italy StatPhys 23 July 12, 2007 The Elusiveness of Polymer Knots Paul Dommersnes, Ralf Metzler, Andreas Hanke Yacov Kantor, Oded Farago, Roya Zandi.

Slides:



Advertisements
Similar presentations
Topological correlations in dense lattice trivial knots Sergei Nechaev LPTMS (Orsay, France)
Advertisements

Interplay Between Electronic and Nuclear Motion in the Photodouble Ionization of H 2 T J Reddish, J Colgan, P Bolognesi, L Avaldi, M Gisselbrecht, M Lavollée,
From Quark to Jet: A Beautiful Journey Lecture 1 1 iCSC2014, Tyler Dorland, DESY From Quark to Jet: A Beautiful Journey Lecture 1 Beauty Physics, Tracking,
Uniqueness of Optimal Mod 3 Circuits for Parity Frederic Green Amitabha Roy Frederic Green Amitabha Roy Clark University Akamai Clark University Akamai.
Influence of Charge and Network Inhomogeneities on the Swollen-Collapsed Transition in Polyelectrolyte Nanogels Prateek Jha (Northwestern University) Jos.
Gavin Brennen Lauri Lehman Zhenghan Wang Valcav Zatloukal JKP Ubergurgl, June 2010 Anyonic quantum walks: The Drunken Slalom.
Ivan Janeček, Daniel Hrivňák, and René Kalus Department of Physics, University of Ostrava, Ostrava, Czech Republic Supported by the Grant Agency of the.
Knot theory and proteins Isabel K. Darcy University of Iowa From: A deeply knotted protein structure and how it might fold,
Network Morphospace Andrea Avena-Koenigsberger, Joaquin Goni Ricard Sole, Olaf Sporns Tung Hoang Spring 2015.
Fractal nature of the phase space and energy landscape topology Gerardo G. Naumis Instituto de Física, UNAM. México D.F., Mexico. XVIII Meeting on Complex.
Elasticity and structural phase transitions in single biopolymer systems Haijun Zhou ( 周海军 ) Institute of Theoretical Physics, the Chinese Academy of Sciences,
Adventures in String Theory Science One, April 7 th, 2011.
II–2 DC Circuits I Theory & Examples.
Parallel Flat Histogram Simulations Malek O. Khan Dept. of Physical Chemistry Uppsala University.
Network analysis and applications Sushmita Roy BMI/CS 576 Dec 2 nd, 2014.
CSE 788 X.14 Topics in Computational Topology: --- An Algorithmic View Lecture 1: Introduction Instructor: Yusu Wang.
Large-scale organization of metabolic networks Jeong et al. CS 466 Saurabh Sinha.
Lecture 5: Electron Scattering, continued... 18/9/2003 1
Advanced methods of molecular dynamics Monte Carlo methods
1 Hydrophobic hydration at the level of primitive models Milan Predota, Ivo Nezbeda, and Peter T. Cummings Department of Chemical Engineering, University.
Theories of Polyelectrolytes in Solutions
Interactions and more interactions
Computational NanoEnginering of Polymer Surface Systems Aquil Frost, Environmental Engineering, Central State University John Lewnard, Mechanical Engineering,
Anomalous Dynamics of Translocation
Outline Review of extended ensemble methods (multi-canonical, Wang-Landau, flat-histogram, simulated tempering) Replica MC Connection to parallel tempering.
A computational study of shear banding in reversible associating polymers J. Billen, J. Stegen +, A.R.C. Baljon San Diego State University + Eindhoven.
Modeling of Biofilaments: Elasticity and Fluctuations Combined D. Kessler, Y. Kats, S. Rappaport (Bar-Ilan) S. Panyukov (Lebedev) Mathematics of Materials.
Dynamics of excited rare gas cluster cations Ivan Janeček, Daniel Hrivňák, and René Kalus Department of Physics, University of Ostrava, Ostrava, Czech.
DNA TOPOLOGY: EXPERIMENTS AND ANALYSIS
Sub-Millimeter Tests of the Gravitational Inverse-Square Law C.D. Hoyle University of Washington In collaboration with: E.G. Adelberger J.H. Gundlach B.R.
KIAS July 2006 RNA secondary structure Ground state and the glass transition of the RNA secondary structure RNA folding: specific versus nonspecific pairing.
8. Selected Applications. Applications of Monte Carlo Method Structural and thermodynamic properties of matter [gas, liquid, solid, polymers, (bio)-macro-
Peter Virnau, Mehran Kardar, Yacov Kantor Capturing knots in (bio-) polymers …
Simulations of associating polymers under shear J. Billen, M. Wilson, A.R.C. Baljon San Diego State University Funded by:
Isabel K. Darcy Mathematics Department University of Iowa ©2008 I.K. Darcy. All rights reserved.
Networks Igor Segota Statistical physics presentation.
Using computer modelling to help design materials for optical applications Robert A Jackson Chemical & Forensic Sciences School of Physical & Geographical.
EECS Computer Science Division University of California, Berkeley
Kink escape from a potential well created by an external perturbation LENCOS, July, Monica A. Garcia Ñustes This talk is on based on a joint.
A computational study of shear banding in reversible associating polymers J. Billen +, J. Stegen *, A.R.C. Baljon + + Department of Physics, San Diego.
Isabel K. Darcy Mathematics Department Applied Mathematical and Computational Sciences (AMCS) University of Iowa ©2008.
Flow fluctuation and event plane correlation from E-by-E Hydrodynamics and Transport Model Victor Roy Central China Normal University, Wuhan, China Collaborators.
Inverse melting and phase behaviour of core-softened attractive disks
13. Extended Ensemble Methods. Slow Dynamics at First- Order Phase Transition At first-order phase transition, the longest time scale is controlled by.
Modeling fluctuations in the force-extension single-molecule experiments Alexander Vologodskii New York University.
Chemistry XXI Unit 3 How do we predict properties? M1. Analyzing Molecular Structure Predicting properties based on molecular structure. M4. Exploring.
Monte Carlo methods (II) Simulating different ensembles
CSE 5559 Computational Topology: Theory, algorithms, and applications to data analysis Lecture 0: Introduction Instructor: Yusu Wang.
Los puntos de Fekete y el séptimo problema de Smale Grupo VARIDIS: Enrique Bendito, Ángeles Carmona, Andrés Marcos Encinas, Jose Manuel Gesto, Agustín.
Structural classification of Proteins SCOP Classification: consists of a database Family Evolutionarily related with a significant sequence identity Superfamily.
Introduction & applications Part II 1.No HW assigned (HW assigned next Monday). 2.Quiz today 3.Bending & twisting rigidity of DNA with Magnetic Traps.
DNA mechanics in a tight squeeze Confinement of biopolymers changes their response to a mechanical force. We have derived an exact formula for the force-extension.
Monte Carlo Simulation of Folding Processes for 2D Linkages Modeling Proteins with Off-Grid HP-Chains Ileana Streinu Smith College Leo Guibas Rachel Kolodny.
Mean Field Theory and Mutually Orthogonal Latin Squares in Peptide Structure Prediction N. Gautham Department of Crystallography and Biophysics University.
University of Minnesota MRSEC Nuggets – 2005 Lodge T. P. DMR (IRG 1) Topologically Driven Swelling of a Polymer Loop When an experienced lecturer.
Measurement of photons via conversion pairs with the PHENIX experiment at RHIC - Torsten Dahms - Master of Arts – Thesis Defense Stony Brook University.
Genetic algorithm - Monte Carlo hybrid method for finding stable geometries of atomic clusters Application to carbon clusters Nazım Dugan, Şakir Erkoç.
Supplementary Material for Chapter 14 Ants, Elephants, and Experimental Design: Understanding Science and Examining Connections between Species Interactions.
Yoav Kallus Physics Dept. Cornell University Shanks Conference Vanderbilt University May 17, 2010 The Divide and Concur approach to packing j/w: Veit Elser.
Peter J. Mulligan, Yi-Ju Chen, Rob Phillips, Andrew J. Spakowitz 
Protein structure prediction.
Daniel A. Beard, Tamar Schlick  Structure 
Volume 110, Issue 11, Pages (June 2016)
Colocalization of Multiple DNA Loci: A Physical Mechanism
Probing the Energy Landscape of the Membrane Protein Bacteriorhodopsin
Phase Behavior of DNA in the Presence of DNA-Binding Proteins
Polymer Theory Why are we looking at polymer theory?
Illustration of the hypothetical relationships among metabolic level, the intraspecific scaling exponent b and cell size. Illustration of the hypothetical.
Text on screen: Recall that DNA is a double helix before packaging
Montse Rovira-Bru, David H. Thompson, Igal Szleifer 
Presentation transcript:

Genoa, Italy StatPhys 23 July 12, 2007 The Elusiveness of Polymer Knots Paul Dommersnes, Ralf Metzler, Andreas Hanke Yacov Kantor, Oded Farago, Roya Zandi Peter Virnau, Grigory Kolesov, Leonid Mirny Outline I. Classification of knots II. The tightness of charged knots III. Entropic tightening of slip-links and ‘flat’ knots IV. Open polymers: pulling on knots; model polyethelene V. Rarity of knotted proteins

Classification of Knots Knots are usually classified according to the minimal number of crossings in planar projection. [P.G. Tait, Trans. Roy. Soc. Edinburgh 28, 145 (1876-7)] Examples of `prime knots' Example of `composite knot' 3 1 #3 1 Identification of a knot is difficult, because it is a global property that depends on the entire shape of the curve (need knot invariants): J.W. Alexander (1923) polynomial First algorithm which can distinguish between (some) knots Jones, HOMFLY, Kauffman polynomials,...

Charged Knots Can the knot type be determined from the ‘ideal shape’ of the curve that minimizes a particular (two-body) potential? Jonathan Simon in Ideal Knots (1998): “Suppose you have a knotted loop on a string, and you spread an electric charge a long the string and then let go; what will happen? … This question has been a common ‘cocktail party’ topic among knot theorists for many years, …” The Coulomb interaction is not useful for this purpose, since …

Charged prime knots are tight: Charged composite knots are factored:

Screened Interactions Do tight knots disappear if the Coulomb interaction is screened? Bjerrum length The answer depends on the ‘electorstatic (Odijk) persistence length:’ The tight knot is the global energy minimum as long as l c is comparable to size of the open chain. The tight knot is a local energy minimum as long as l c is larger than the bare persistence length.

Entropic Tightening Even without interactions, knots could be ‘tight:’ A. Yu Grosberg, et al, Phys. Rev. E 54, 6618 (96). [Flory theory] E. Orlandini, et al, J. Phys. A 31, 5953 (98). [simulations] V. Katrich, et al, Phys. Rev. E 61, 5545 (00). [phantom walks] This can be motivated by examining a Figure-8 (slip-link): The tendency for tight loops is characterized by an exponent c : c=d/2 for an ideal polymer (random walk) in d-dimensions c=2.69… for a self-avoiding polymer in d=2 c=2.26… for a self-avoiding polymer in d=3 [B. Duplantier, Phys. Rev. Lett. 57, 941 (1986)]

‘Flat’ Knots Topologically constrained polymers in two dimensions, with a fixed number of crossings, e.g. polymers absorbed to a surface. A.Yu Grosberg and S.K. Nachaev, J. Phys. A25, 4659 (92). E. Guitter and E. Orlandini, J. Phys. A 32, 1359 (99). The Flat Figure-8- Theory predicts: This is confirmed by simulations:

Also observed in simulations on vibrated chains: M.B. Hastings, Z.A. Daya, E. Ben-Naim, and R.E. Ecke, Phys. Rev. Lett. E 66, (R) (2002). The Flat Figure-8- Theory predicts:

The Flat knot- Theory predicts that all flat knots are tight in the swollen phase,

The Flat knot- Theory predicts that the trefoil is loose in the compact phase, E. Orlandini, A.L. Stella, and C.Vanderzande, PRE 68, (2003)

Pulling knotted polymers An indirect probe of the size of the 3-d knot: O. Farago, Y. Kantor and M. Kardar, Europhys. Lett. 60, 53 (2002). According to scaling, for an unknotted polymer of length N,

Comparison of simulation results for sizes N=225 (diamonds), 335 (triangles), 500 (squares), 750 (circles), with (solid) and without (open) a knot in the polymer: We interpreted the results as a reduction in the length of the polymer, by the extent of the knot, as, with t~0.5

Model Polyethylene (CH 2 ) n Monte Carlo (MC) simulations of a coarse-grained model for polyethylene Bead-spring chain (LJ+FENE): 1 bead ≅ 3 CH2 Equilibrium configurations generated with standard MC techniques (pivot, reptation, local moves) Qualitative results in coil (swollen), globule (compact), and confined sates. Knots are rare in the swollen phase (1% for 3000 CH 2 ) but common in a dense phases (80% for 3000 CH 2 ) Knots are tight in the swollen phase but loose in a dense phases P. Virnau, Y. Kantor and M. Kardar, J. Am. Chem. Soc. 127, (2005)

Biopolymers Knots are rare for DNA in good solvent (0.5%-4% for base pairs) Knots are also rare in globular proteins (~1% - 273/32,853 in PDB structures, 1/3/2007) MIT web-server for detection of knots:

Intricate Knots in Proteins: Function and Evolution P. Virnau, L. Mirny, and M. Kardar, PLOS Comp. Biol. 2, e122 (2006)] In contrast to globular polymers, knots are extremely rare in globular proteins, and their occurrence is likely connected to protein function in as yet unexplored fashion. We analyzed all experimentally known protein structures and discovered several unknown knots, including the most complicated knot found to date (Fig.1 right). In this particular case, we believe that the occurrence of the knot might be related to the role of the enzyme in protein degradation. While protein knots are typically preserved across species and sometimes even across kingdoms, we also identified an example of a knot which is not present in a closely related structure (Fig.2). The emergence of this knot is accompanied by a shift in the enzymatic function of the protein. It is also easy to imagine how this alteration happened: a simple insertion extends the loop and modifies the folding pathway of the protein. Examples of the three different types of knots found in proteins. Structures of Transcarbamylase from X. campestris with knot (left); and from Human without knot (right).

Genoa, Italy StatPhys 23 July 12, 2007 The Elusiveness of Polymer Knots Paul Dommersnes, Ralf Metzler, Andreas Hanke Yacov Kantor, Oded Farago, Roya Zandi Peter Virnau, Grigory Kolesov, Leonid Mirny Summary I. Knots are source of fascination of mystery in arts, nature, and science II. Charged knots are tight, stable or metastable depending on rigidity III. ‘Flat’ knots are (weakly) tightened by entropic effects IV. Knots are rare and tight in swollen polymers; abundant and loose when compact V. Knotted proteins are rare with mostly enzymatic function