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A novel combination of discontinuous molecular dynamics and the Langevin equation, together with an intermediate-resolution model, are used to carry out long (several $\mu$s) simulation and study folding transition and transport of proteins…

软凝聚态物质 · 物理学 2011-11-09 Leili Javidpour , Muhammad Sahimi , M. Reza Rahimi Tabar

The modeling of atomistic biomolecular simulations using kinetic models such as Markov state models (MSMs) has had many notable algorithmic advances in recent years. The variational principle has opened the door for a nearly fully automated…

生物物理 · 物理学 2019-11-26 Martin K. Scherer , Brooke E. Husic , Moritz Hoffmann , Fabian Paul , Hao Wu , Frank Noé

We propose a model for motor proteins based on a hierarchical Hamiltonian that we have previously introduced to describe protein folding. The proposed motor model has high efficiency and is consistent with a linear load-velocity response.…

凝聚态物理 · 物理学 2009-10-31 Alex Hansen , Mogens H. Jensen , Kim Sneppen , Giovanni Zocchi

Diffusive molecular dynamics is a novel model for materials with atomistic resolution that can reach diffusive time scales. The main ideas of diffusive molecular dynamics are to first minimize an approximate variational Gaussian free energy…

数值分析 · 数学 2015-06-09 Gideon Simpson , Mitchell Luskin , David J. Srolovitz

In this paper, we introduce a novel bond-based peridynamic model that utilizes a Gaussian kernel function. Previous peridynamic models, when directly discretized, have exhibited a lack of asymptotically compatibility with their…

数学物理 · 物理学 2025-12-15 Chenguang Liu , Hao Tian , Jinlong Shao

Quantum geometrical molecular dynamics provides a quantum geometric picture for understanding reactive dynamics, especially excited-state conical intersection dynamics, and also a numerically exact method for strongly correlated…

化学物理 · 物理学 2026-01-26 Mo Sha , Bing Gu

The high computational cost of carrying out molecular dynamics simulations of even small-size proteins is a major obstacle in the study, at atomic detail and in explicit solvent, of the physical mechanism which is at the basis of the…

生物大分子 · 定量生物学 2009-05-19 C. Camilloni , G. Tiana , R. A. Broglia

Proteins are commonly used by biochemical industry for numerous processes. Refining these proteins' properties via mutations causes stability effects as well. Accurate computational method to predict how mutations affect protein stability…

机器学习 · 统计学 2018-03-26 Emmi Jokinen , Markus Heinonen , Harri Lähdesmäki

Peripheral membrane proteins can reversibly and specifically bind to biological membranes to carry out functions such as cell signalling, enzymatic activity, or membrane remodelling. Structures of these proteins and of their lipid-binding…

生物物理 · 物理学 2023-11-14 Andreas Haahr Larsen , Laura H. John , Mark S. P. Sansom , Robin A. Corey

We carry out a theoretical study of the vibrational and relaxation properties of naturally-occurring proteins with the purpose of characterizing both the folding and equilibrium thermodynamics. By means of a suitable model we provide a full…

统计力学 · 物理学 2007-05-23 Cristian Micheletti , Gianluca Lattanzi , Amos Maritan

The biological properties of proteins are uniquely determined by their structure and dynamics. A protein in solution populates a structural ensemble of metastable configurations around the global fold. From overall rotation to local…

生物物理 · 物理学 2015-12-09 J. Copperman , M. G. Guenza

Considerable insight into the functional activity of proteins and enzymes can be obtained by studying the low-energy conformational distortions that the biopolymer can sustain. We carry out the characterization of these large scale…

软凝聚态物质 · 物理学 2009-11-11 M. Neri , M. Cascella , C. Micheletti

Extensively exploring protein conformational landscapes remains a major challenge in computational biology due to the high computational cost involved in dynamic physics-based simulations. In this work, we propose a novel pipeline, MoDyGAN,…

机器学习 · 计算机科学 2025-07-21 Jingbo Liang , Bruna Jacobson

Molecular dynamics (MD) simulations remain the gold standard for studying protein dynamics, but their computational cost limits access to biologically relevant timescales. Recent generative models have shown promise in accelerating…

机器学习 · 计算机科学 2026-02-12 Nima Shoghi , Yuxuan Liu , Yuning Shen , Rob Brekelmans , Pan Li , Quanquan Gu

While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims…

In recent years, a few multiple-resolution modelling strategies have been proposed, in which functionally relevant parts of a biomolecule are described with atomistic resolution, while the remainder of the system is concurrently treated…

软凝聚态物质 · 物理学 2023-01-20 Raffaele Fiorentini , Thomas Tarenzi , Raffaello Potestio

A novel approach to simulate simple protein-ligand systems at large time- and length-scales is to couple Markov state models (MSMs) of molecular kinetics with particle-based reaction-diffusion (RD) simulations, MSM/RD. Currently, MSM/RD…

化学物理 · 物理学 2021-12-10 Mauricio J. del Razo , Manuel Dibak , Christof Schütte , Frank Noé

Protein folding and design are major biophysical problems, the solution of which would lead to important applications especially in medicine. Here a novel protein model capable of simultaneously provide quantitative protein design and…

生物物理 · 物理学 2015-06-22 Ivan Coluzza

We developed a multiscale approach (MultiSCAAL) that integrates the potential of mean force (PMF) obtained from all-atomistic molecular dynamics simulations with a knowledge-based energy function for coarse-grained molecular simulations in…

生物物理 · 物理学 2010-05-10 Antonios Samiotakis , Dirar Homouz , Margaret S. Cheung

Protein-DNA interactions are vital for many processes in living cells, especially transcriptional regulation and DNA modification. To further our understanding of these important processes on the microscopic level, it is necessary that…

生物大分子 · 定量生物学 2007-05-23 Jason E Donald , William W Chen , Eugene I Shakhnovich