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Protein representation and potential function are essential ingredients for studying proteins folding and protein prediction. We introduce a novel geometric representation of contact interactions using the edge simplices from alpha shape of…

生物物理 · 物理学 2007-05-23 Xiang Li , Changyu Hu , Jie Liang

A geometric analysis of protein folding, which complements many of the models in the literature, is presented. We examine the process from unfolded strand to the point where the strand becomes self-interacting. A central question is how it…

数学物理 · 物理学 2008-09-13 Walter A. Simmons , Joel L. Weiner

Proteins, by virtue of their central role in most biological processes, represent one of the key subjects of the study of molecular evolution. Inherent to the indispensability of proteins for living cells is the fact that a given protein…

生物大分子 · 定量生物学 2007-05-23 Eric J. Deeds , Eugene I. Shakhnovich

The proposal of this paper is to provide a simple angular random walk model to build up polypeptide structures, which encompass properties of dihedral angles of folded proteins. From this model, structures will be built with lengths ranging…

生物物理 · 物理学 2009-11-13 P. H. Figueiredo , M. A. Moret , E. Nogueira , S. Coutinho

We investigate the fine structure of the sp3 hybridized covalent bond geometry that governs the tetrahedral architecture around the central C$_\alpha$ carbon of a protein backbone, and for this we develop new visualization techniques to…

生物物理 · 物理学 2015-06-11 Martin Lundgren , Antti J. Niemi

Proteins have regular tertiary structures but irregular amino acid sequences. This made it very difficult to decode the structural information in the protein sequences. Here we demonstrate that many small alpha protein domains have hidden…

生物大分子 · 定量生物学 2007-05-23 Ruizhen Xu , Yanzhao Huang , Mingfen Li , Hanlin Chen , Yi Xiao

This paper proposes a new mathematical framework that can be applied to biological problems such as analysis of the structures of proteins and protein complexes. In particular, it gives a new method for encoding the three-dimensional…

组合数学 · 数学 2007-05-23 Naoto Morikawa

Globular proteins are expected to assume folds with fixed secondary structures, alpha-helices and beta-sheets. Fold-switching proteins challenge this expectation by remodeling their secondary and/or tertiary structures in response to…

生物大分子 · 定量生物学 2025-07-16 Devlina Chakravarty , Lauren L. Porter

Focusing on a small set of proteins that i) fold in a concerted, all-or-none fashion and ii) do not contain knots or slipknots, we show that the Gauss linking integral, the torsion and the number of sequence-distant contacts provide…

定量方法 · 定量生物学 2019-10-01 E. Panagiotou , K. W. Plaxco

The precise sequence of aminoacids plays a central role in the tertiary structure of proteins and their functional properties. The Hydrophobic-Polar lattice models have provided valuable insights regarding the energy landscape. We…

生物大分子 · 定量生物学 2015-03-30 K. Silpaja Chandrasekar , M. V. Sangaranarayanan

A reduced model, which can fold both helix and sheet structures, is proposed to study the problem of protein folding. The goal of this model is to find an unbiased effective potential that has included the effects of water and at the same…

软凝聚态物质 · 物理学 2007-05-23 Nan-yow Chen

Protein structures in nature often exhibit a high degree of regularity (secondary structures, tertiary symmetries, etc.) absent in random compact conformations. We demonstrate in a simple lattice model of protein folding that structural…

凝聚态物理 · 物理学 2009-10-28 Hao Li , Robert Helling , Chao Tang , Ned Wingreen

We introduce a new, simplified model of proteins, which we call protein metastructure. The metastructure of a protein carries information about its secondary structure and $\beta$-strand conformations. Furthermore, protein metastructure…

生物大分子 · 定量生物学 2021-11-30 Jørgen Ellegaard Andersen , Hiroyuki Fuji , Yuki Koyanagi

Proteins are an important class of biomolecules that serve as essential building blocks of the cells. Their three-dimensional structures are responsible for their functions. In this thesis we have investigated the protein structures using a…

分子网络 · 定量生物学 2007-11-19 Ganesh Bagler

Apart from the knots formed by the main-chain, the proteins can form numerous topological structures, when included the covalent and ion-mediated interactions. In this work, we define the protein non-trivial $\theta$-curves and identify 7…

软凝聚态物质 · 物理学 2019-08-19 Pawel Dabrowski-Tumanski , Dimos Goundaroulis , Andrzej Stasiak , Joanna I. Sulkowska

A phenomenological model hamiltonian to describe the folding of a protein with any given sequence is proposed. The protein is thought of as a collection of pieces of helices; as a consequence its configuration space increases with the…

软凝聚态物质 · 物理学 2009-10-30 Pierpaolo Bruscolini

Lattice-model simulations and experiments of some small proteins suggest that folding is essentially controlled by a few conserved contacts. Residues of these conserved contacts form the minimum set of native contacts needed to ensure…

生物大分子 · 定量生物学 2011-09-14 Wei-Mou Zheng , Hui Zeng , Dong-Bo Bu , Ming-Fu Shao , Ke-Song Liu , Chao Wang

$\alpha$-helices stand out as common and relatively invariant secondary structural elements of proteins. However, $\alpha$-helices are not rigid bodies and their deformations can be significant in protein function ({\it e.g.} coiled coils).…

统计力学 · 物理学 2007-05-23 Eldon G. Emberly , Ranjan Mukhopadhyay , Ned S. Wingreen , Chao Tang

A protein is traditionally visualised as a piecewise linear discrete curve, and its geometry is conventionally characterised by the extrinsically determined Ramachandran angles. However, a protein backbone has also two independent intrinsic…

生物大分子 · 定量生物学 2017-06-07 Yanzhen Hou , Jin Dai , Nevena Ilieva , Antti J. Niemi , Xubiao Peng , Jianfeng He

Folded proteins have a modular assembly. They are constructed from regular secondary structures like alpha-helices and beta-strands that are joined together by loops. Here we develop a visualization technique that is adapted to describe…

生物物理 · 物理学 2015-06-11 Martin Lundgren , Antti J. Niemi , Fan Sha