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We propose a novel method for the determination of the effective interaction potential between the amino acids of a protein. The strategy is based on the combination of a new optimization procedure and a geometrical argument, which also…

软凝聚态物质 · 物理学 2009-10-31 Jort van Mourik , Cecilia Clementi , Amos Maritan , Flavio Seno , J. R. Banavar

The possibility of deriving the contact potentials between amino acids from their frequencies of occurence in proteins is discussed in evolutionary terms. This approach allows the use of traditional thermodynamics to describe such…

生物大分子 · 定量生物学 2009-11-10 G. Tiana , M. Colombo , D. Provasi , 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

The prediction of the three-dimensional structures of the native state of proteins from the sequences of their amino acids is one of the most important challenges in molecular biology. An essential ingredient to solve this problem within…

统计力学 · 物理学 2007-05-23 Cristian Micheletti , Flavio Seno , Jayanth Banavar , Amos Maritan

An effective potential function is critical for protein structure prediction and folding simulation. Simplified protein models such as those requiring only $C_\alpha$ or backbone atoms are attractive because they enable efficient search of…

生物大分子 · 定量生物学 2007-05-23 Jinfeng Zhang , Rong Chen , Jie Liang

Quantifying the effects of amino acid mutations in proteins presents a significant challenge due to the vast combinations of residue sites and amino acid types, making experimental approaches costly and time-consuming. The Potts model has…

统计方法学 · 统计学 2025-05-22 Bingying Dai , Yinan Lin , Kejue Jia , Zhao Ren , Wen Zhou

We review and further develop an analytical model that describes how thermodynamic constraints on the stability of the native state influence protein evolution in a site-specific manner. To this end, we represent both protein sequences and…

生物大分子 · 定量生物学 2007-05-23 Ugo Bastolla , Markus Porto , H. Eduardo Roman , Michele Vendruscolo

Protein-DNA interactions are vital for many processes in living cells, especially transcriptional regulation and DNA modification. To further our understanding of these important processes on the microscopic level, it is necessary that…

生物大分子 · 定量生物学 2007-05-23 Jason E Donald , William W Chen , Eugene I Shakhnovich

An effective potential function is critical for protein structure prediction and folding simulation. For simplified models of proteins where coordinates of only $C_\alpha$ atoms need to be specified, an accurate potential function is…

生物大分子 · 定量生物学 2016-11-17 Jinfeng Zhang , Rong Chen , Jie Liang

Predicting three dimensional residue-residue contacts from evolutionary information in protein sequences was attempted already in the early 1990s. However, contact prediction accuracies of methods evaluated in CASP experiments before CASP11…

生物大分子 · 定量生物学 2018-10-16 Sanzo Miyazawa

The similarity in the three-dimensional structures of homologous proteins imposes strong constraints on their sequence variability. It has long been suggested that the resulting correlations among amino acid compositions at different…

Normal mode analysis offers an efficient way of modeling the conformational flexibility of protein structures. Simple models defined by contact topology, known as elastic network models, have been used to model a variety of systems, but the…

生物大分子 · 定量生物学 2007-05-23 Dmitry A. Kondrashov , Adam W. Van Wynsberghe , Ryan M. Bannen , Qiang Cui , George N. Phillips

Naturally evolving proteins gradually accumulate mutations while continuing to fold to thermodynamically stable native structures. This process of neutral protein evolution is an important mode of genetic change, and forms the basis for the…

种群与进化 · 定量生物学 2007-05-23 Jesse D Bloom , Alpan Raval , Claus O Wilke

To confer high specificity and affinity in binding, contacts at interfaces between two interacting macromolecules are expected to exhibit pair preferences for types of atoms or residues. Here we quantify these preferences by measuring the…

生物大分子 · 定量生物学 2007-05-23 William W. Chen , Paul J. Choi , Jason E. Donald , Eugene I. Shakhnovich

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

The current capacity of computers makes it possible to perform simulations of small systems with portable, explicit-solvent potentials achieving high degree of accuracy. However, simplified models must be employed to exploit the behaviour…

生物大分子 · 定量生物学 2015-06-18 R. Capelli , C. Paissoni , P. Sormanni , G. Tiana

The primary structure of proteins, that is their sequence, represents one of the most abundant set of experimental data concerning biomolecules. The study of correlations in families of co--evolving proteins by means of an inverse…

生物大分子 · 定量生物学 2015-06-16 Sara Lui , Guido Tiana

We analytically derive the lower bound of the total conformational energy of a protein structure by assuming that the total conformational energy is well approximated by the sum of sequence-dependent pairwise contact energies. The condition…

生物大分子 · 定量生物学 2008-01-03 Akira R. Kinjo , Sanzo Miyazawa

Making use of a simplified model for protein folding, it can be shown that conformations which are particularly stable when their energy is minimized with respect to amino acid sequence (in the sense that they display a large energy gap to…

软凝聚态物质 · 物理学 2007-05-23 R. A. Broglia , G. Tiana , H. E. Roman

Accurate prediction of protein stability changes upon single-site variations (DDG) is important for protein design, as well as our understanding of the mechanism of genetic diseases. The performance of high-throughput computational methods…

生物大分子 · 定量生物学 2018-09-28 Ludovica Montanucci , Pier Luigi Martelli , Nir Ben-Tal , Piero Fariselli
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