Bias-Aware Training and Evaluation of Link Prediction Algorithms in Network Biology

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Genetics,
link prediction   network biology   bias   protein-protein interaction   graph machine learning   algorithm evaluation  

Revealing “Rich Node” Bias in Link Prediction Algorithms and Countermeasures — An Interpretation of “Bias-aware Training and Evaluation of Link Prediction Algorithms in Network Biology” 1. Academic Background and Motivation Over the past decade, network biology has played an increasingly important role in uncovering associations and functions of bi...

Evaluation of Neuroprotective Effect of Gut Microbe in Parkinson's Disease: An In Silico and In Vivo Approach

Medicine, Neurology, Life Sciences, Biochemistry, Immunology, Microbiology,
α-synuclein   gut microbes   metabolites   protein-protein interaction   therapeutic agent   parkinsonian mice model  

Study on the Protective Effects of Medicinal Microorganisms on Parkinson’s Disease Background Introduction Parkinson’s Disease (PD) is a progressive neurodegenerative disorder characterized by the death of dopaminergic neurons in the substantia nigra region of the brain. The aggregation of α-synuclein is a crucial factor in the pathogenesis of Park...

Predicting Drug-Target Affinity by Learning Protein Knowledge from Biological Networks

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Biophysics,
drug-target affinity   variational graph autoencoders   graph convolutional network   protein-protein interaction  

Predicting Drug-Target Affinity Based on Learning Protein Knowledge from Biological Networks Background The prediction of drug-target affinity (DTA) plays a crucial role in drug discovery. Efficient and accurate DTA prediction can significantly reduce the time and economic costs of new drug development. In recent years, the explosive development of...