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Related papers: Self-organisation of Protein Patterns

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Protein structures can be studied as complex networks of interacting amino acids. We study proteins of different structural classes from the network perspective. Our results indicate that proteins, regardless of their structural class, show…

Molecular Networks · Quantitative Biology 2007-11-19 Ganesh Bagler , Somdatta Sinha

The dynamic of complex ordering systems with active rotational degrees of freedom exemplified by protein self-assembly is explored using a machine learning workflow that combines deep learning-based semantic segmentation and rotationally…

Soft Condensed Matter · Physics 2021-04-26 Sergei V. Kalinin , Shuai Zhang , Mani Valleti , Harley Pyles , David Baker , James J. De Yoreo , Maxim Ziatdinov

This manuscript is essentially a collection of lecture notes which were given by the first author at the Summer School Wisl-2019, Poland and written down by the second author. As the title suggests, the material covered here includes the…

Differential Geometry · Mathematics 2020-04-01 Vladimir Roubtsov , Denys Dutykh

These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S. Chapter 10, on Communication, Education, and Outreach,…

High Energy Physics - Experiment · Physics 2014-01-27 M. Bardeen , D. Cronin-Hennessy , R. M. Barnett , P. Bhat , K. Cecire , K. Cranmer , T. Jordan , I. Karliner , J. Lykken , P. Norris , H. White , K. Yurkewicz

Self-organization is ubiquitous in nature and mind. However, machine learning and theories of cognition still barely touch the subject. The hurdle is that general patterns are difficult to define in terms of dynamical equations and…

Artificial Intelligence · Computer Science 2023-02-07 Danilo Vasconcellos Vargas , Tham Yik Foong , Heng Zhang

In these lecture notes for the Les Houches School on Applications of Random Matrices in Physics we give an introduction to the connections between matrix models and topological strings. We first review some basic results of matrix model…

High Energy Physics - Theory · Physics 2007-05-23 Marcos Marino

In a previous work we considered a two-dimensional lattice of particles and calculated its time evolution by using an interaction law based on the spatial position of the particles themselves. The model reproduced the behaviour of…

Computational Engineering, Finance, and Science · Computer Science 2020-03-27 Ramiro dell'Erba

The goal of these lecture notes is to present in a unified way various models for the dynamics of aligning self-propelled rigid bodies at different scales and the links between them. The models and methods are inspired from [12,13], but, in…

Analysis of PDEs · Mathematics 2018-10-17 Pierre Degond , Amic Frouvelle , Sara Merino-Aceituno , Ariane Trescases

These are the Proceedings of the 4th discussion workshop in the Gran Sasso Laboratory. The structure of this workshop was as before: most of the time was allocated to the review talks and to the discussions. There were discussion sessions…

Astrophysics · Physics 2007-05-23 V. Berezinsky , G. Fiorentini

In nonequilibrium suspensions, static number fluctuations $N$ in virtual observation boxes reveal remarkable structural properties, but the dynamic potential of $N(t)$ signals remains unexplored. Here, we develop a theory to learn the…

Soft Condensed Matter · Physics 2026-04-06 Tristan Cerdin , Sophie Marbach , Carine Douarche

We discuss recent theoretical developments in the study of simple lattice models of proteins. Such models are designed to understand general features of protein structures and mechanism of folding. Among the topics covered are (i) the use…

Soft Condensed Matter · Physics 2007-05-23 D. Thirumalai , D. K. Klimov

In these Lecture Notes we aim at clarifying how soft matter physics, and herein notably statistical mechanics and fluid mechanics, can be engaged to understand and manipulate non-equilibrium systems consisting of numerous (microscopic)…

Soft Condensed Matter · Physics 2025-05-27 Jean-François Joanny , Joseph O. Indekeu

These lecture notes are based on lectures given in 2019 Saint-Flour Probability School.

Probability · Mathematics 2020-12-21 Elchanan Mossel

Spatial organisation is a hallmark of all living cells, and recreating it in model systems is a necessary step in the creation of synthetic cells. It is therefore of both fundamental and practical interest to better understand the basic…

Biological Physics · Physics 2017-12-19 Jaime Agudo-Canalejo , Ramin Golestanian

This paper collects and extends the lectures I gave at the "XXIV International Fall Workshop on Geometry and Physics" held in Zaragoza (Spain) August 31 - September 4, 2015. Within these lectures I review the formulation of Quantum…

Mathematical Physics · Physics 2016-10-13 Valter Moretti

The supersymmetry method has proven to be a very powerful tool of study of the statistical properties of energy levels and eigenfunctions in disordered and chaotic systems. The aim of these lectures is to present a tutorial introduction to…

Disordered Systems and Neural Networks · Physics 2007-05-23 Alexander D. Mirlin

From flocking birds to schooling fish, organisms interact to form collective dynamics across the natural world. Self-organization is present at smaller scales as well: cells interact and move during development to produce patterns in fish…

Quantitative Methods · Quantitative Biology 2024-07-16 Alexandria Volkening

The spectrum and scale of fluctuations in protein structures affect the range of cell phenomena, including stability of protein structures or their fragments, allosteric transitions and energy transfer. The study presents a…

Biomolecules · Quantitative Biology 2015-05-13 Anatoly M. Ruvinsky , Ilya A. Vakser

Lectures given at the summer school on Algebraic Groups, Goettingen, June 27 - July 15 2005

Differential Geometry · Mathematics 2007-05-23 Roger Bielawski

This is a lecture notes for a mini-course in Department of Mathematics, Ghent University, 14 Mar.-25 Mar. 2023.

Logic · Mathematics 2023-04-04 Toshiyasu Arai