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相关论文: Thermodynamic Description of Beta Amyloid Formatio…

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Protein function depends on both protein structure and amino acid (aa) sequence. Here we show that modular features of both structure and function can be quantified from the aa sequence alone for the amyloid 770 aa precursor protein A4.…

生物大分子 · 定量生物学 2014-03-06 J. C. Phillips

Amyloid fibers are aggregates of proteins. They are built out of a peptide called $\beta$--amyloid (A$\beta$) containing between 41 and 43 residues, produced by the action of an enzyme which cleaves a much larger protein known as the…

生物大分子 · 定量生物学 2009-11-10 G. Tiana , F. Simona , R. A. Broglia , G. Colombo

Thermodynamic tools are well suited to connecting evolution of protein functionalities to mutations of amino acid sequences, especially for neuronal network structures. These tools enable one to quantify changes in modular structure and…

生物大分子 · 定量生物学 2014-10-07 J. C. Phillips

We show that a protein can be trained to recognise multiple conformations, analogous to an associative memory, and provide capacity calculations based on energy fluctuations and information theory. Unlike the linear capacity of a Hopfield…

软凝聚态物质 · 物理学 2007-05-23 Thomas M A Fink , Robin C Ball

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

An atomic protein model with a minimalistic potential is developed and then tested on an alpha-helix and a beta-hairpin, using exactly the same parameters for both peptides. We find that melting curves for these sequences to a good…

生物大分子 · 定量生物学 2009-11-10 Anders Irbäck , Björn Samuelsson , Fredrik Sjunnesson , Stefan Wallin

While all the information required for the folding of a protein is contained in its amino acid sequence, one has not yet learnt how to extract this information so as to predict the detailed, biological active, three-dimensional structure of…

凝聚态物理 · 物理学 2007-05-23 R. A. Broglia , G. Tiana

A reduced protein model with five to six atoms per amino acid and five amino acid types is developed and tested on a three-helix-bundle protein, a 46-amino acid fragment from staphylococcal protein A. The model does not rely on the widely…

软凝聚态物质 · 物理学 2007-05-23 Giorgio Favrin , Anders Irbäck , Stefan Wallin

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

Protein sequences serve as a natural record of the evolutionary constraints that shape their functional structures. We show that it is possible to use only sequence information to go beyond predicting native structures and global stability…

生物大分子 · 定量生物学 2025-07-02 Ezequiel A. Galpern , Ernesto A. Roman , Diego U. Ferreiro

Amino acid sequence portrays most intrinsic form of a protein and expresses primary structure of protein. The order of amino acids in a sequence enables a protein to acquire a particular stable conformation that is responsible for the…

机器学习 · 计算机科学 2022-08-29 Ashish Ranjan , Md Shah Fahad , David Fernandez-Baca , Akshay Deepak , Sudhakar Tripathi

Protein folding, peptide aggregation and crystallization, as well as adsorption of molecules on soft or solid substrates have an essential feature in common: In all these processes, structure formation is guided by a collective, cooperative…

统计力学 · 物理学 2009-02-12 Michael Bachmann , Wolfhard Janke

The structures of proteins exhibit secondary elements composed of helices and loops. Comparison of several water-only hydrophobicity scales with the functionalities of two repeat proteins shows that these secondary elements possess…

软凝聚态物质 · 物理学 2008-03-04 J. C. Phillips

Scaling theory generates transferable (even universal) algebraic and geometrical relations between the amino acid sequences and the aggregation functions of the three titled radically different proteins. In addition to the two…

生物大分子 · 定量生物学 2016-06-03 James C. Phillips

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

How do protein structure prediction models fold proteins? We investigate this question by tracing how ESMFold folds a beta hairpin, a prevalent structural motif. Through counterfactual interventions on model latents, we identify two…

机器学习 · 计算机科学 2026-02-10 Kevin Lu , Jannik Brinkmann , Stefan Huber , Aaron Mueller , Yonatan Belinkov , David Bau , Chris Wendler

The intrinsic property of proteins to form structural motifs such as alpha-helices and beta-sheets leads to a complex phase behavior in which proteins can assemble into various types of aggregates including crystals, liquidlike phases of…

生物大分子 · 定量生物学 2010-06-08 Stefan Auer , Dimo Kashchiev

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

The use of beta-solenoid proteins as functionalizable, nanoscale, self-assembling molecular building blocks may have many applications, including templating the growth of wires or higher-dimensional structures. By understanding their…

生物大分子 · 定量生物学 2017-06-20 Amanda S. Parker , Krishnakumar M. Ravikumar , Daniel L. Cox
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