Prediction of binding sites of GPCRs based on 3D convolutional neural networks
Junfeng Yu, Ying Zhang, Jun Lv
This study uses a 3D convolutional neural network to predict GPCR binding sites with high accuracy.
Author
Inner Mongolia University of TechnologyORCID 0000-0002-4546-535XUnclaimed ORCID profile · follow to get notified of new preprints
Mutual co-authors in cluster
4 papers
Recent·Most cited
Junfeng Yu, Ying Zhang, Jun Lv
This study uses a 3D convolutional neural network to predict GPCR binding sites with high accuracy.
Ying Wang, Shinichi Namba, Esteban A. Lopera-Maya…·Clara Lajonchere
This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.
Masahiro Kanai, Roy Elzur, Wei Zhou…·Tom R. Gaunt
This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.
Wei Zhou, Masahiro Kanai, Kuan-Han Wu…·Jennifer E. Huffman
Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.