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Disordered proteins and nucleic acids play key roles in cellular function and disease. Here we review recent advances in the computational exploration of the conformational dynamics of flexible biomolecules. We focus on hierarchical chain…

Chemical Physics · Physics 2022-10-31 Lisa M. Pietrek , Lukas S. Stelzl , Gerhard Hummer

Motility-induced wall aggregation of active Brownian particles (ABPs) is a well-studied phenomenon. Here, we study the aggregation of ABPs on porous walls, which allows the particles to penetrate through at large motility. We show that the…

Soft Condensed Matter · Physics 2020-10-13 Suchismita Das , Raghunath Chelakkot

Membrane organization is essential for cellular functions such as signal transduction and membrane trafficking. A major challenge is to understand the lateral heterogeneous structures in membranes and membrane fluidity in the presence of…

Soft Condensed Matter · Physics 2007-11-09 Chun-Lai Ren , Yu-qiang Ma

As a central part of microstructure evolution, grain boundary (GB) migration is believed to be both monolithic and unidirectional. But here, we introduce the concept of GB decomposition: one GB separates into two new GBs by exerting…

Materials Science · Physics 2025-09-11 Wei Wan , Junwen Deng , Changxin Tang

Endocytosis is a key cellular process involved in the uptake of nutrients, pathogens or the diagnosis and therapy of diseases. Most studies have focused on spherical objects, whereas biologically relevant shapes can be highly anisotropic.…

Soft Condensed Matter · Physics 2023-06-07 Ali Azadbakht , Billie Meadowcroft , Thijs Varkevisser , Andela Saric , Daniela J. Kraft

A prominent hypothesis in neuroscience proposes that brains achieve optimal performance by operating near a critical point. However, this framework, which often assumes a universal critical point, fails to account for the extensive…

Neurons and Cognition · Quantitative Biology 2025-12-04 Kejian Wu , Dante R. Chialvo , Changsong Zhou , Lianchun Yu

Biomolecular condensates help organize the cell cytoplasm and nucleoplasm into spatial compartments with different chemical compositions. A key feature of such compositional patterning is the local enrichment of enzymatically active…

Biological Physics · Physics 2024-08-06 Andriy Goychuk , Leonardo Demarchi , Ivan Maryshev , Erwin Frey

Flagellar motors enable bacteria to navigate their environments by switching rotation direction in response to external cues with high sensitivity. Previous work suggested that ultrasensitivity of the flagellar motor originates from…

Biological Physics · Physics 2025-02-06 Henry H. Mattingly , Yuhai Tu

Membrane morphology and its dynamic adaptation regulate many cellular functions, which are often mediated by membrane proteins. Advances in DNA nanotechnology have enabled the realization of various protein-inspired structures and functions…

This work is devoted to the variational derivation of a reduced model for brittle membranes in finite elasticity. The main mathematical tools we develop for our analysis are: (i) a new density result in $GSBV^{p}$ of functions satisfying a…

Analysis of PDEs · Mathematics 2022-09-23 Stefano Almi , Dario Reggiani , Francesco Solombrino

Octa-penta graphene (OPG), a novel carbon allotrope characterized by its distinctive arrangement of pentagonal and octagonal rings, has garnered considerable attention due to its exceptional structure and functional properties. This study…

Materials Science · Physics 2025-03-07 Chenyi Zhou , Rubin Huo , Boyi Situ , Zihan Yan , Zhe Zhang , Yusong Tu

The control of granular materials, showing up in many industrial applications, is a challenging open research problem. Granular material systems are complex-behavior (as they could have solid-, fluid-, and gas-like behaviors) and…

Optimization and Control · Mathematics 2023-02-08 Yuichiro Aoyama , Amin Haeri , Evangelos A. Theodorou

Soft-granular media, such as dense emulsions, foams or tissues, exhibit either fluid- or solid-like properties depending on the applied external stresses. Whereas bulk rheology of such materials has been thoroughly investigated, the…

Soft Condensed Matter · Physics 2024-07-04 Michal Bogdan , Jesus Pineda , Mihir Durve , Leon Jurkiewicz , Sauro Succi , Giovanni Volpe , Jan Guzowski

For the etiology, progression, and treatment of complex diseases, gene-environment (G-E) interactions have important implications beyond the main G and E effects. G-E interaction analysis can be more challenging with the higher…

Methodology · Statistics 2018-10-19 Mengyun Wu , Qingzhao Zhang , Shuangge Ma

The human proteome is enriched in proteins that do not fold into a stable 3D structure. These intrinsically disordered proteins (IDPs) spontaneously fluctuate between a large number of configurations in their native form. Remarkably, the…

We propose a class of intrinsic Gaussian processes (in-GPs) for interpolation, regression and classification on manifolds with a primary focus on complex constrained domains or irregular shaped spaces arising as subsets or submanifolds of…

Machine Learning · Statistics 2018-01-05 Mu Niu , Pokman Cheung , Lizhen Lin , Zhenwen Dai , Neil Lawrence , David Dunson

Plasma membranes appear as deformable systems wherein molecules are free to move and diffuse giving rise to condensed microdomains (composed of ordered lipids, transmembrane proteins and cholesterol) surrounded by disordered lipid…

Soft Condensed Matter · Physics 2024-09-25 Chiara Bernard , Angelo Rosario Carotenuto , Nicola Maria Pugno , Luca Deseri , Massimiliano Fraldi

The thermodynamic properties of DNA circular molecules are investigated by a new path integral computational method which treats in the real space the fundamental forces stabilizing the molecule. The base pair and stacking contributions to…

Soft Condensed Matter · Physics 2014-11-11 Marco Zoli

Phagocytosis is the process of engulfment and internalization of comparatively large particles by the cell, that plays a central role in the functioning of our immune system. We study the process of phagocytosis by considering a simplified…

Soft Condensed Matter · Physics 2022-01-05 Raj Kumar Sadhu , Sarah R Barger , Samo Penič , Aleš Iglič , Mira Krendel , Nils C Gauthier , Nir S Gov

Neural Networks (GNNs) have revolutionized the molecular discovery to understand patterns and identify unknown features that can aid in predicting biophysical properties and protein-ligand interactions. However, current models typically…

Machine Learning · Computer Science 2022-12-21 Carter Knutson , Gihan Panapitiya , Rohith Varikoti , Neeraj Kumar