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We develop a theoretical approach to the protein folding problem based on out-of-equilibrium stochastic dynamics. Within this framework, the computational difficulties related to the existence of large time scale gaps in the protein folding…

定量方法 · 定量生物学 2009-11-13 M. Sega , P. Faccioli , F. Pederiva , G. Garberoglio , H. Orland

Elastic network models, simple structure-based representations of biomolecules where atoms interact via short-range harmonic potentials, provide great insight into a molecule's internal dynamics and mechanical properties at extremely low…

软凝聚态物质 · 物理学 2018-12-12 Patrick Diggins , Changjiang Liu , Markus Deserno , Raffaello Potestio

One of the most puzzling and unsolved challenges in molecular biology is understanding how proteins fold. Despite having advanced predictive tools that can accurately estimate the native structures of proteins, we still lack a comprehensive…

生物大分子 · 定量生物学 2026-01-13 Jorge Vila

Phase separation has emerged as an essential concept for the spatial organization inside biological cells. However, despite the clear relevance to virtually all physiological functions, we understand surprisingly little about what phases…

生物物理 · 物理学 2022-08-10 David Zwicker , Liedewij Laan

A coarse-grained off-lattice model that is not biased in any way to the native state is proposed to fold proteins. To predict the native structure in a reasonable time, the model has included the essential effects of water in an effective…

统计力学 · 物理学 2009-11-11 Nan-yow Chen , Zheng-Yao Su , Chung-Yu Mou

Natural protein sequences somehow encode the structural forms that these molecules adopt. Recent developments in structure-prediction are agnostic to the mechanisms by which proteins fold and represent them as static objects. However, the…

生物大分子 · 定量生物学 2025-05-26 Ezequiel A. Galpern , Federico Caamaño , Diego U. Ferreiro

Natural protein sequences contain a record of their history. A common constraint in a given protein family is the ability to fold to specific structures, and it has been shown possible to infer the main native ensemble by analyzing…

生物大分子 · 定量生物学 2017-03-16 Rocío Espada , R. Gonzalo Parra , Thierry Mora , Aleksandra M. Walczak , Diego U. Ferreiro

Studying the conformations involved in the dimerization of cadherins is highly relevant to understand the development of tissue and its failure, which is associated with tumors and metastases. Experimental techniques, like X-ray…

生物大分子 · 定量生物学 2020-02-26 S. Terzoli , G. Tiana

In this paper we show that a dynamical description of the protein folding process provides an effective representation of equilibrium properties and it allows for a direct investigation of the mechanisms ruling the approach towards the…

统计力学 · 物理学 2007-05-23 Alessandro Torcini , Roberto Livi , Antonio Politi

Protein folding is the intricate process by which a linear sequence of amino acids self-assembles into a unique three-dimensional structure. Protein folding kinetics is the study of pathways and time-dependent mechanisms a protein undergoes…

机器学习 · 计算机科学 2023-09-19 Vijay Arvind. R , Haribharathi Sivakumar , Brindha. R

The simplest approximation of interaction potential between amino-acids in proteins is the contact potential, which defines the effective free energy of a protein conformation by a set of amino acid contacts formed in this conformation.…

生物大分子 · 定量生物学 2007-05-23 Jainab Kahtun , Sagar D. Khare , Nikolay V. Dokholyan

The time evolution of the formation probability of native bonds has been studied for designed sequences which fold fast into the native conformation. From this analysis a clear hierarchy of bonds emerge a) local, fast forming highly stable…

凝聚态物理 · 物理学 2009-10-31 G. Tiana , R. A. Broglia

We present a sequence-based probabilistic formalism that directly addresses co-operative effects in networks of interacting positions in proteins, providing significantly improved contact prediction, as well as accurate quantitative…

定量方法 · 定量生物学 2012-07-12 Alan Lapedes , Bertrand Giraud , Christopher Jarzynski

Exploring and understanding the protein-folding problem has been a long-standing challenge in molecular biology. Here, using molecular dynamics simulation, we reveal how parallel distributed adjacent planar peptide groups of unfolded…

生物大分子 · 定量生物学 2019-01-11 Xiaoliang Ma , Chengyu Hou , Liping Shi , Long Li , Jiacheng Li , Lin Ye , Lin Yang , Xiaodong He

A generalized understanding of protein dynamics is an unsolved scientific problem, the solution of which is critical to the interpretation of the structure-function relationships that govern essential biological processes. Here, we approach…

We formulate a simple solvation potential based on a coarsed-grain representation of amino acids with two spheres modeling the $C_\alpha$ atom and an effective side-chain centroid. The potential relies on a new method for estimating the…

生物大分子 · 定量生物学 2007-05-23 A. Bhattacharyay , A. Trovato , F. Seno

Protein-Protein Interactions (PPIs) perform essential roles in biological functions. Although some experimental techniques have been developed to detect PPIs, they suffer from high false positive and high false negative rates. Consequently,…

定量方法 · 定量生物学 2017-12-29 Samaneh Aghajanbaglo , Sobhan Moosavi , Maseud Rahgozar , Amir Rahimi

Protein folding is one of the age-old biological problems that refers to the mechanism of understanding and predicting how a protein's linear sequence of amino acids folds into its specific three dimensional structure.This structure is…

Models of protein energetics which neglect interactions between amino acids that are not adjacent in the native state, such as the Go model, encode or underlie many influential ideas on protein folding. Implicit in this simplification is a…

生物大分子 · 定量生物学 2009-10-08 Brian C. Gin , Juan P. Garrahan , Phillip L. Geissler

The intricate three-dimensional geometries of protein tertiary structures underlie protein function and emerge through a folding process from one-dimensional chains of amino acids. The exact spatial sequence and configuration of amino…

生物大分子 · 定量生物学 2021-02-24 Nora Molkenthin , Steffen Mühle , Antonia S J S Mey , Marc Timme