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...
elegans . In this paper we first describe WISTdb, a database designed to store the interaction data generated in Marc Vidal's laboratory. We then describe InterDB, a multi-organism prediction-oriented database of protein-protein interactions. We finally discuss our current approaches, based on ...
Our knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods. On the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE cap
Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction Bioinformatics, 37 (2021), pp. 4771-4778 Google Scholar [20] W. Liu-Wei, Ş. Kafkas, J. Chen, et al. DeepViral: prediction of novel virus–host interactions from protein seq...
elegans. In this paper we first describe WISTdb, a database designed to store the interaction data generated in Marc Vidal’s laboratory. We then describe InterDB, a multi-organism prediction-oriented database of protein-protein interactions. We finally discuss our current approaches, based...
GitHub - masashitsubaki/CPI_prediction: This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins. DUD-E数据集: DUD-E: A Database of Useful (Docking) Decoys — Enhanced ...
The same inference method can also be applied to the prediction of inter-species interaction, especially in the case of host-pathogen interactions. The H. sapiens-P. falciparum PPIs inferred in our work reveal that P. falciparum may utilize calcium modulating proteins in the host cell to ...
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
Qi YJ, Klein-Seetharaman J, Bar-Joseph Z: Random forest similarity for protein-protein interaction prediction from multiple sources. 2005, Singapore: World Scientific Publ Co Pte Ltd Google Scholar Shi M-G, Xia J-F, Li X-L, Huang D-S: Predicting protein-protein interactions from sequence...
MDTips: a multimodal-data-based drug-target interaction prediction system fusing knowledge, gene expression profile, and structural data 2023, Bioinformatics Transfer learning for drug-target interaction prediction 2023, Bioinformatics DrugAI: A multi-view deep learning model for predicting drug-target acti...