A front-end method based on random forest proximity distance (PD) is used to screen the test set to improve protein鈥損rotein interaction site (PPIS) prediction. The assessment of a distance metric is done under the assumption that a distance definition of higher quality leads to higher ...
In the context of protein–protein interaction predictions, the stringent similarity evaluation of xCAPT5 is particularly important as it addresses a key challenge: the decline in model performance with decreasing sequence similarity. Typically, as sequence similarity lowers, the prediction task becomes mo...
and features required for modern protein-protein interaction site (PPIS) prediction, and present an integrative analysis of the state-of-the-art algorithms and their performance. First, the major sources of data used by predictors are reviewed, including training sets, evaluation sets, and methods ...
Motivation: We are motivated by the fast-growing number of protein structures in the Protein Data Bank with necessary information for prediction of protein- protein interaction sites to develop methods for identification of residues participating in protein- protein interactions. We would like to compare...
Prediction of protein-protein interaction sites using patch analysis. A method for defining and analysing a series of residue patches on the surface of protein structures is used to predict the location of protein-protein int... S Jones,J Thornton - 《Journal of Molecular Biology》 被引量: ...
Multiple other machine learning-based protein–protein interaction site prediction methods have been developed7,35,36,37. We introduce here PeSTo, a parameter-free geometric transformer that acts directly on the atoms of a protein structure. As shown in Fig. 1 and detailed in Methods, the ...
protein interaction sites.One protein was tested each time and the remaining 34 proteins were used to train the classifiers(one-crossover).The final result was good and when adding one new feature the accuracy of prediction improved.When integrating these features the outcome has more accuracy ...
In this paper, a couple of covering algorithms are presented to predict protein-protein interaction sites by using several protein features, such as sequence profile, residue entropy and so on. These features are utilized to construct covering algorithms classifiers to identify interaction sites. The ...
Structural insight of the protein–protein interaction (PPI) interface can provide knowledge about the kinetics, thermodynamics and molecular functions of the complex while elucidating its role in diseases and further enabling it as a potential therapeut
Identification of protein-protein interaction sites is essential for the mutant design and prediction of protein-protein networks. 蛋白质相互作用位点的识别对于突变设计和预测蛋白质相互作用的网络是非常重要的。 2. Prediction of protein-protein interaction sites is essential for mutant design and reconstruct...