This paper proposes a novel method of deriving a contact potential (a pair score function) for protein threading. In this method, the constraint that the score of the native threading is minimum over all possible threadings is expressed in a form of linear inequalities, and then parameters defining the contact potential are determined by applying a program package of linear programming. The most important advantage of this method over the previous methods is that this method can learn a score function from a small number of training data. The proposed method was evaluated using Lathrop and Smith's algorithm for finding optimal threadings and was shown to be effective for computing nearly correct threadings. 1 Introductio
In this paper, a model named threading with environment-specific score (TES) is proposed to build a ...
This paper presents efficient algorithms for solving the problem of aligning a protein structure tem...
AbstractIn this paper, we study the protein threading problem, which was proposed for predicting a f...
This work is about a problem from computational biology known as protein threading problem. By findi...
By using techniques borrowed from statistical physics and neural networks, we determine the paramete...
In recent protein structure prediction research there has been a great deal of interest in using ami...
Various bioinformatics problems require optimizing several different properties simultaneously. For ...
Various bioinformatics problems require optimizing several different properties simultaneously. For ...
We describe a branch-and-bound search algorithm for finding the exact1Artificial Intelligence global...
We describe a branch-and-bound search algorithm for finding the exact1Artificial Intelligence global...
Abstract. In this paper, we use integer programming approach for solv-ing a hard combinatorial optim...
Computational protein threading is a powerful technique for recognizing native-like folds of a prote...
International audienceThis paper presents efficient algorithms for solving the problem of aligning a...
Conventionally, protein structure prediction via threading relies on some nonoptimal method to align...
Conventionally, protein structure prediction via "threading" relies on some non-optimal me...
In this paper, a model named threading with environment-specific score (TES) is proposed to build a ...
This paper presents efficient algorithms for solving the problem of aligning a protein structure tem...
AbstractIn this paper, we study the protein threading problem, which was proposed for predicting a f...
This work is about a problem from computational biology known as protein threading problem. By findi...
By using techniques borrowed from statistical physics and neural networks, we determine the paramete...
In recent protein structure prediction research there has been a great deal of interest in using ami...
Various bioinformatics problems require optimizing several different properties simultaneously. For ...
Various bioinformatics problems require optimizing several different properties simultaneously. For ...
We describe a branch-and-bound search algorithm for finding the exact1Artificial Intelligence global...
We describe a branch-and-bound search algorithm for finding the exact1Artificial Intelligence global...
Abstract. In this paper, we use integer programming approach for solv-ing a hard combinatorial optim...
Computational protein threading is a powerful technique for recognizing native-like folds of a prote...
International audienceThis paper presents efficient algorithms for solving the problem of aligning a...
Conventionally, protein structure prediction via threading relies on some nonoptimal method to align...
Conventionally, protein structure prediction via "threading" relies on some non-optimal me...
In this paper, a model named threading with environment-specific score (TES) is proposed to build a ...
This paper presents efficient algorithms for solving the problem of aligning a protein structure tem...
AbstractIn this paper, we study the protein threading problem, which was proposed for predicting a f...