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,并贡献了STRING数据集 起因是作者在实验发现,在A数据集上训练的PPI关系预测模型,迁移到B数据集上效果很差。是因为按照传统...
To date, there have been a plethora of works that employed traditional machine learning (ML) techniques to solve several problems in the computational biology domain, such as protein classification, structure prediction, protein interaction prediction, etc. Support vector machines (SVMs), Random forest...
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
Due to the complex molecular mechanism of ncRNA-protein interaction and the lack of conservation for ncRNA, especially for long ncRNA (lncRNA), the prediction of ncRNA-protein interaction is still a challenge. Deep learning-based models have become the state-of-the-art in a range of biological...
Protein-Protein Interactions (PPIs) involves in various biological processes, which are of significant importance in cancer diagnosis and drug development... G Altun,S Gremalschi,RW Harrison,... 被引量: 0发表: 2022年 Application of K-nearest neighbors in protein-protein interaction prediction Prote...
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...
Overview of machine learning and deep learning approaches to protein–protein interaction site prediction. Input structural or sequence data requires feature engineering or transformation into an appropriate representation for the architecture of the model ...
Seven known protein–protein interaction datasets Seven existing protein–protein interaction datasets were used for validation of our method (D5–7) and for assessment of their accuracy by our predicted interaction dataset (D1–4). They are: ...
Often, this collaborative action implies physical interaction of the proteins involved. Accordingly, experimental detection, in silico prediction and computational analysis of protein-protein interactions (PPI) have attracted great attention in the quest for discovering functional links among proteins and ...
The predicted PPI pairs are on average 11 times more likely to interact than the random selection at a confidence level of 0.95, and on average 4 times better than those predicted by either phylogenetic profiling or gene expression profiling. 展开 关键词: protein-protein interaction, protein ...