AbstractThere is a need for rules allowing three-dimensional structure information to be derived from protein sequences. In this work, consideration of an elementary protein folding step allows protein sub-sequences which optimize folding to be derived for any given protein sequence. Classical mechanics applied to this system and the energy conservation law during the elementary folding step yields an equation whose solutions are taken over the field of rational numbers. This formalism is applied to beta-sheets containing two edge strands and at least two central strands. The number of protein sub-sequences optimized for folding per amino acid in beta-strands is shown in particular to predict edge strands from protein sequences. Topological...
The topic of protein folding can be studied from two different points of view. The first is concerne...
In fold recognition by threading one takes the amino acid sequence of a protein and evaluates how we...
Modem techniques in biology have produced sequence data for huge quantities of proteins, and 3-D str...
There is a need for rules allowing three-dimensional structure information to be derived from protei...
AbstractThere is a need for rules allowing three-dimensional structure information to be derived fro...
We present an alternative approach to protein 3D folding prediction based on determination of rules ...
article complémentaire de : Guilloux A, Caudron B, Jestin JL (2013) A method to predict edge strands...
Proteins have a wide array of essential functions: from serving as enzymatic catalysts to protecting...
One of the most long-term challenging problems in biophysics studies for both computational scientis...
The ability to predict the native conformation of a globular protein from its amino-acid sequence is...
As was the case with RNA folding, the goal is to determine the three-dimensional structure of a prot...
The notion of optimization is inherent in protein design. A long linear chain of twenty types of ami...
International audienceThe prediction of structural elements from the sequence is not only useful in ...
The exponential growth over the past several decades in the quantity of both primary sequence data a...
© 2014 Dr. Hui Kian HoStudying the three-dimensional structure of proteins is essential to understan...
The topic of protein folding can be studied from two different points of view. The first is concerne...
In fold recognition by threading one takes the amino acid sequence of a protein and evaluates how we...
Modem techniques in biology have produced sequence data for huge quantities of proteins, and 3-D str...
There is a need for rules allowing three-dimensional structure information to be derived from protei...
AbstractThere is a need for rules allowing three-dimensional structure information to be derived fro...
We present an alternative approach to protein 3D folding prediction based on determination of rules ...
article complémentaire de : Guilloux A, Caudron B, Jestin JL (2013) A method to predict edge strands...
Proteins have a wide array of essential functions: from serving as enzymatic catalysts to protecting...
One of the most long-term challenging problems in biophysics studies for both computational scientis...
The ability to predict the native conformation of a globular protein from its amino-acid sequence is...
As was the case with RNA folding, the goal is to determine the three-dimensional structure of a prot...
The notion of optimization is inherent in protein design. A long linear chain of twenty types of ami...
International audienceThe prediction of structural elements from the sequence is not only useful in ...
The exponential growth over the past several decades in the quantity of both primary sequence data a...
© 2014 Dr. Hui Kian HoStudying the three-dimensional structure of proteins is essential to understan...
The topic of protein folding can be studied from two different points of view. The first is concerne...
In fold recognition by threading one takes the amino acid sequence of a protein and evaluates how we...
Modem techniques in biology have produced sequence data for huge quantities of proteins, and 3-D str...