PPI Protein-proteinInteraction 在OntoProtein和BioBridge,KeAP中都做了这个实验,一开始感觉很难理解所以专门去看了一些文献。 STRING数据集,使用GNN学习Protein-protein Interaction Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction 贡献1 提出一种方法去分割数据集,...
iLoops: a protein–protein interaction prediction server based on structural features Protein-protein interactions play a critical role in many biological processes. Despite that, the number of servers that provide an easy and comprehensive ... PI Joan,Marin-Lopez Manuel A.,B Jaume,... - 《Bioi...
and the experimental results show that using amino acid sequence alone is sufficient to predict the interaction of protein accurately. Therefore, protein interaction prediction methods that directly extract information
In a Fold and Dock approach, two proteins are folded and docked simultaneously. We recently developed a Fold and Dock pipeline using another distance prediction method focused on protein folding (trRosetta23). In this pipeline, the interaction between two chains from a heterodimeric protein complex ...
1)prediction of protein-protein interaction蛋白质相互作用预测 英文短句/例句 1.Kernel nearest neighbour algorithm for predicting protein-protein interactions蛋白质相互作用预测的核最近邻算法 2.Research on Protein-Protein Interaction Prediction and False Positive Reduction on PPI蛋白质相互作用预测及其假阳性过滤...
Proteins are the essential biological macromolecules required to perform nearly all biological processes, and cellular functions. Proteins rarely carry out their tasks in isolation but interact with other proteins (known as protein–protein interaction)
Prediction-based fingerprints of protein-protein interactions. The recognition of protein interaction sites is an important intermediate step toward identification of functionally relevant residues and understanding pr... A Porollo,J Meller - 《Proteins-structure Function & Bioinformatics》 被引量: 440发表...
Although deep learning (DL) models for Protein–Protein Interaction (PPI) prediction have been studied extensively, it has not yet been developed for simulating the natural PPI hierarchy. Here, we suggest HIGH-PPI, a hierarchical graph neural network, for accurate and interpretable PPI prediction. ...
Proteins potentially associated with the pathology of Alzheimer s disease were gathered into our database,and were then mapped into a protein interaction network. 依据无标度网络的相关理论,提出一种预测蛋白质-蛋白质相互作用的算法,并预测潜在的作用位点。 更多例句>> 6...
In this chapter we analyze the feasibility of the co-evolution principle for protein-protein interaction prediction through one of its derivatives, the correlated divergence model. Given two proteins, the model compares the patterns of divergence of their families and assigns a score based on the ...