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相关论文: Inferring protein folding mechanisms from natural …

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Starting from linear chains of amino acids, the spontaneous folding of proteins into their elaborate three-dimensional structures is one of the remarkable examples of biological self-organization. We investigated native state structures of…

分子网络 · 定量生物学 2007-11-20 Ganesh Bagler , Somdatta Sinha

Background:Prediction of protein three-dimensional structures from amino acid sequences is a long-standing goal in computational/molecular biology. The successful discrimination of protein folds would help to improve the accuracy of protein…

生物大分子 · 定量生物学 2007-05-23 Y-h. Taguchi , M. Michael Gromiha

Protein folding cooperativity is defined by the nature of the finite-size thermodynamic transition exhibited upon folding: two-state transitions show a free energy barrier between the folded and unfolded ensembles, while downhill folding is…

生物大分子 · 定量生物学 2017-08-23 Tristan Bereau , Michael Bachmann , Markus Deserno

Folding properties of a two-dimensional toy protein model containing only two amino-acid types, hydrophobic and hydrophilic, respectively, are analyzed. An efficient Monte Carlo procedure is employed to ensure that the ground states are…

chem-ph · 物理学 2016-08-31 Anders Irbäck , Carsten Peterson , Frank Potthast

We investigate the formation of beta-sheet structures in proteins without taking into account specific sequence-dependent hydrophobic interactions. To accomplish this, we introduce a model which explicitly incorporates both solvation…

软凝聚态物质 · 物理学 2009-11-07 Chinlin Guo , Herbert Levine , Margaret S. Cheung , David A. Kessler

A new general algorithm for optimization of potential functions for protein folding is introduced. It is based upon gradient optimization of the thermodynamic stability of native folds of a training set of proteins with known structure. The…

凝聚态物理 · 物理学 2009-11-10 Ole Winther , Anders Krogh

Inverse protein folding, the process of designing sequences that fold into a specific 3D structure, is crucial in bio-engineering and drug discovery. Traditional methods rely on experimentally resolved structures, but these cover only a…

生物大分子 · 定量生物学 2023-11-27 Igor Melnyk , Aurelie Lozano , Payel Das , Vijil Chenthamarakshan

We present a statistical mechanics approach to the protein folding problem. We first review some of the basic properties of proteins, and introduce some physical models to describe their thermodynamics. These models rely on a random…

无序系统与神经网络 · 物理学 2008-02-03 T. Garel , H. Orland , E. Pitard

Current-day genomes bear the mark of the evolutionary processes. One of the strongest indications is the sequence homology among families of proteins that perform similar biological functions in different species. The number of proteins in…

生物物理 · 物理学 2007-05-23 Joel S. Bader

Proteins exist as a dynamic ensemble of multiple conformations, and these motions are often crucial for their functions. However, current structure prediction methods predominantly yield a single conformation, overlooking the conformational…

Recent advances in computational power and simulation programs finally delivered the first examples of reversible folding for small proteins with an all-atom description. But having at hand the atomistic details of the process did not lead…

生物物理 · 物理学 2013-04-23 Ganna Berezovska , Diego Prada-Gracia , Francesco Rao

Neither of the two prevalent theories, namely thermodynamic stability and kinetic stability, provides a comprehensive understanding of protein folding. The thermodynamic theory is misleading because it assumes that free energy is the…

生物物理 · 物理学 2013-07-22 Ji Xu , Mengzhi Han , Ying Ren , Jinghai Li

In this work, we discovered a fundamental connection between selection for protein stability and emergence of preferred structures of proteins. Using standard exact 3-dimensional lattice model we evolve sequences starting from random ones…

基因组学 · 定量生物学 2007-05-23 Konstantin B. Zeldovich , Igor N. Berezovsky , Eugene I. Sha

We propose a universal elastic energy for proteins, which depends only on the radius of gyration $R_{g}$ and the residue number $N$. It is constructed using physical arguments based on the hydrophobic effect and hydrogen bonding. Adjustable…

统计力学 · 物理学 2013-09-26 Jinzhi Lei , Kerson Huang

Protein structure prediction is pivotal for understanding the structure-function relationship of proteins, advancing biological research, and facilitating pharmaceutical development and experimental design. While deep learning methods and…

机器学习 · 计算机科学 2024-12-30 Kaihui Cheng , Ce Liu , Qingkun Su , Jun Wang , Liwei Zhang , Yining Tang , Yao Yao , Siyu Zhu , Yuan Qi

We employ simulations of model proteins to study folding on rugged energy landscapes. We construct ``first-passage'' networks as the system transitions from unfolded to native states. The nodes and bonds in these networks correspond to…

软凝聚态物质 · 物理学 2015-05-13 Gregg Lois , J. Blawzdziewicz , Corey S. O'Hern

Background: The secondary structure and complexity of mRNA influences its accessibility to regulatory molecules (proteins, micro-RNAs), its stability and its level of expression. The mobile elements of the RNA sequence, the wobble bases,…

生物大分子 · 定量生物学 2008-07-22 Jan C. Biro

In structure-based models of proteins, one often assumes that folding is accomplished when all contacts are established. This assumption may frequently lead to a conceptual problem that folding takes place in a temperature region of very…

生物大分子 · 定量生物学 2016-05-23 Karol Wołek , Marek Cieplak

Understanding the protein folding process is an outstanding issue in biophysics; recent developments in molecular dynamics simulation have provided insights into this phenomenon. However, the large freedom of atomic motion hinders the…

计算物理 · 物理学 2020-06-18 Takashi Ichinomiya , Ippei Obayashi , Yasuaki Hiraoka

The determination of the folding mechanisms of proteins is critical to understand the topological change that can propagate Alzheimer and Creutzfeld-Jakobs diseases, among others. The computational community has paid considerable attention…

生物大分子 · 定量生物学 2007-05-23 Guanghong Wei , Normand Mousseau , Philippe Derreumaux