中文
相关论文

相关论文: Folding Trp-cage to NMR resolution native structur…

200 篇论文

A mesoscopic coarse-grain model for computationally-efficient simulations of biomembranes is presented. It combines molecular dynamics simulations for the lipids, modeled as elastic chains of beads, with multiparticle collision dynamics for…

软凝聚态物质 · 物理学 2015-06-04 Mu-Jie Huang , Raymond Kapral , Alexander S. Mikhailov , Hsuan-Yi Chen

Background: Many attempts have been made to resolve in time the folding of model proteins in computer simulations. Different computational approaches have emerged. Some of these approaches suffer from the insensitivity to the geometrical…

All-atom molecular dynamics (MD) computer simulations are a valuable tool for characterizing the conformational ensembles of intrinsically disordered proteins (IDPs). IDP conformational ensembles are highly heterogeneous and contain…

化学物理 · 物理学 2025-05-06 Jaya Krishna Koneru , Korey M. Reid , Paul Robustelli

Computational elucidation of membrane protein (MP) structures is challenging partially due to lack of sufficient solved structures for homology modeling. Here we describe a high-throughput deep transfer learning method that first predicts…

生物大分子 · 定量生物学 2017-08-29 Sheng Wang , Zhen Li , Yizhou Yu , Jinbo Xu

To bridge the gap between the sequences and 3-dimensional (3D) structures of RNAs, some computational models have been proposed for predicting RNA 3D structures. However, the existed models seldom consider the conditions departing from the…

生物物理 · 物理学 2014-09-12 Ya-Zhou Shi , Feng-Hua Wang , Yuan-Yan Wu , Zhi-Jie Tan

The folding mechanism of the Villin headpiece (HP36) is studied by means of a novel approach which entails an initial coarse-grained Monte Carlo (MC) scheme followed by all-atom molecular dynamics (MD) simulations in explicit solvent. The…

软凝聚态物质 · 物理学 2007-05-23 Giacomo M. S. De Mori , Giorgio Colombo , Cristian Micheletti

In this study, we explore nucleation and the transition state ensemble of the ribosomal protein S6 using a Monte Carlo Go model in conjunction with restraints from experiment. The results are analyzed in the context of extensive…

生物大分子 · 定量生物学 2009-11-10 Isaac Hubner , Mikael Oliveberg , Eugene Shakhnovich

Short-fiber-reinforced polymer composites are increasingly used in engineering applications and industrial products owing to their unique combination of superior mechanical properties, and relatively easy and low cost manufacturing process.…

应用物理 · 物理学 2017-04-25 Behrouz Arash , Harold S. Park , Timon Rabczuk

Recently several minimum free energy (MFE) folding algorithms for predicting the joint structure of two interacting RNA molecules have been proposed. Their folding targets are interaction structures, that can be represented as diagrams with…

组合数学 · 数学 2010-06-22 Thomas J. X. Li , Christian M. Reidys

Cell-cell adhesion is one the most fundamental mechanisms regulating collective cell migration during tissue development, homeostasis and repair, allowing cell populations to self-organize and eventually form and maintain complex tissue…

细胞行为 · 定量生物学 2022-11-16 Carles Falcó , Ruth E. Baker , José A. Carrillo

A probabilistic discrete model for 2D protein crystal growth is presented. This model takes into account the available space and can describe growing processes of different nature due to the versatility of its parameters which gives the…

生物物理 · 物理学 2019-02-20 V. J. Bolós , R. Benítez , A. Eleta-López , J. L. Toca-Herrera

Protein folding is an indispensable process for the majority of proteins after their synthesis from ribosomes in the cell. Most in vitro protein folding studies have focused on single-domain proteins. Hence, it is important to understand…

生物物理 · 物理学 2022-02-08 Ganesh Agam , Anders Barth , Don C. Lamb

Non-coding RNA sequences play a great role in controlling a number of cellular functions, thus raising the need to understand their complex conformational dynamics in quantitative detail. In this perspective, we first show that single…

生物大分子 · 定量生物学 2012-11-29 Jong-Chin Lin , Changbong Hyeon , D. Thirumalai

In recent years, simulation methods based on the scaling of atomic potential functions, such as quasi-coarse-grained dynamics and coarse-grained dynamics, have shown promising results for modeling crystalline systems at multiple scales.…

介观与纳米尺度物理 · 物理学 2024-09-11 Dong-Dong Jiang , Jian-Li Shao

We present a continuum model trained on molecular dynamics (MD) simulations for cellular membranes composed of an arbitrary number of lipid types. The model is constructed within the formalism of dynamic density functional theory and can be…

A coarse-grained variational model is used to investigate the polymer dynamics of barrier crossing for a diverse set of two-state folding proteins. The model gives reliable folding rate predictions provided excluded volume terms that induce…

生物大分子 · 定量生物学 2009-11-13 Xianghong Qi , John J. Portman

Protein aggregation in cell membrane is vital for the majority of biological functions. Recent experimental results suggest that transmembrane domains of proteins such as $\alpha$-helices and $\beta$-sheets have different structural…

生物物理 · 物理学 2016-01-20 Hamidreza Jafarinia , Atefeh Khoshnood , Mir Abbas Jalali

The folding kinetics of a number of sequences for off-lattice continuum model of proteins is studied using Langevin simulations at two values of the friction coefficient. We show that there is a remarkable correlation between folding times,…

统计力学 · 物理学 2008-02-03 T. Veitshans , D. K. Klimov , D. Thirumalai

To what extent do general features of folding/unfolding kinetics of small globular proteins follow from their thermodynamic properties? To address this question, we investigate a new simplifed protein chain model that embodies a cooperative…

软凝聚态物质 · 物理学 2007-05-23 Huseyin Kaya , Hue Sun Chan

The mechanisms by which a protein's 3D structure can be determined based on its amino acid sequence have long been one of the key mysteries of biophysics. Often simplistic models, such as those derived from geometric constraints, capture…

生物物理 · 物理学 2023-01-02 Nora Molkenthin , J. J. Güven , Steffen Mühle , Antonia S. J. S. Mey