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相关论文: Why Do Proteins Look Like Proteins?

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Proteins fold using a two-state or multi-state kinetic mechanisms, but up to now there isn't a first-principle model to explain this different behaviour. We exploit the network properties of protein structures by introducing novel…

分子网络 · 定量生物学 2015-12-04 Giulia Menichetti , Piero Fariselli , Daniel Remondini

The evolutionary trajectory of a protein through sequence space is constrained by function and three-dimensional (3D) structure. Residues in spatial proximity tend to co-evolve, yet attempts to invert the evolutionary record to identify…

Proteins evolve through complex sequence spaces, with fitness landscapes serving as a conceptual framework that links sequence to function. Fitness landscapes can be smooth, where multiple similarly accessible evolutionary paths are…

In nature the three-dimensional structure of a protein is encoded in the corresponding gene. In this paper we describe a new method for encoding the three-dimensional structure of a protein into a binary sequence. The feature of the method…

组合数学 · 数学 2007-05-23 Naoto Morikawa

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

We study statistical properties of interacting protein-like surfaces and predict two strong, related effects: (i) statistically enhanced self-attraction of proteins; (ii) statistically enhanced attraction of proteins with similar…

生物大分子 · 定量生物学 2007-05-23 D. B. Lukatsky , B. E. Shakhnovich , J. Mintseris , E. I. Shakhnovich

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 letter, the possible dynamic scaling properties of protein molecules in folding are investigated theoretically by assuming that the protein molecules are percolated networks. It is shown that the fractal character and the fractal…

凝聚态物理 · 物理学 2007-05-23 Liang-Jian Zou , X. G. Gong , Zheng-Gang Zhu

In protein folding the term plasticity refers to the number of alternative folding pathways encountered in response to free energy perturbations such as those induced by mutation. Here we explore the relation between folding plasticity and…

生物大分子 · 定量生物学 2008-09-09 P. F. N. Faisca , C. M. Gomes

Functional proteins must fold with some minimal stability to a structure that can perform a biochemical task. Here we use a simple model to investigate the relationship between the stability requirement and the capacity of a protein to…

生物大分子 · 定量生物学 2009-11-10 Jesse D Bloom , Claus O Wilke , Frances H Arnold , Christoph Adami

Many types of peripheral and transmembrane proteins can sense and generate membrane curvature. Laterally isotropic proteins and crescent proteins with twofold rotational symmetry, such as Bin/Amphiphysin/Rvs superfamily proteins, have been…

软凝聚态物质 · 物理学 2024-02-12 Hiroshi Noguchi

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

Designing novel proteins with desired functions is crucial in biology and chemistry. However, most existing work focus on protein sequence design, leaving protein sequence and structure co-design underexplored. In this paper, we propose…

机器学习 · 计算机科学 2023-10-05 Zhenqiao Song , Yunlong Zhao , Yufei Song , Wenxian Shi , Yang Yang , Lei Li

Recently, we presented a framework for understanding protein structure based on the idea that simple constructs of holding hands or touching of objects can be used to rationalize the common characteristics of globular proteins. We developed…

软凝聚态物质 · 物理学 2023-06-21 Tatjana Škrbić , Achille Giacometti , Trinh X. Hoang , Amos Maritan , Jayanth R. Banavar

Computational protein design facilitates discovery of novel proteins with prescribed structure and functionality. Exciting designs were recently reported using novel data-driven methodologies that can be roughly divided into two categories:…

生物物理 · 物理学 2023-03-28 Cyril Malbranke , David Bikard , Simona Cocco , Rémi Monasson , Jérôme Tubiana

We study folding dynamics of protein-like sequences on square lattice using physical move set that exhausts all possible conformational changes. By analytically solving the master equation, we follow the time-dependent probabilities of…

生物大分子 · 定量生物学 2016-08-16 Sëma Kachalo , Hsiao-Mei Lu , Jie Liang

The analysis of the three-dimensional structure of proteins is an important topic in molecular biochemistry. Structure plays a critical role in defining the function of proteins and is more strongly conserved than amino acid sequence over…

应用统计 · 统计学 2015-01-19 Abel Rodriguez , Scott C. Schmidler

The idea of this project is to study the protein structure and sequence relationship using the hidden markov model and artificial neural network. In this context we have assumed two hidden markov models. In first model we have taken protein…

机器学习 · 计算机科学 2012-06-18 Saurabh Sarkar , Prateek Malhotra , Virender Guman

The folding characteristics of sequences reduced with a possibly simplified representation of five types of residues are shown to be similar to their original ones with the natural set of residues (20 types or 20 letters). The reduced…

生物物理 · 物理学 2009-11-06 Jun Wang , Wei Wang

Proteins are large biomolecules that regulate all living organisms and consist of one or several chains. The primary structure of a protein chain is a sequence of amino acid residues whose three main atoms (alpha-carbon, nitrogen, and…

计算几何 · 计算机科学 2025-12-30 Olga Anosova , Alexey Gorelov , William Jeffcott , Ziqiu Jiang , Vitaliy Kurlin