Jun Liu

GraphCPLMQA: Assessing protein model quality based on deep graph coupled networks using protein language model

GraphCPLMQA evaluates protein model quality using deep graph coupled networks with protein language model embeddings, achieving top performance on benchmark datasets.

GraphGPSM: a global scoring model for protein structure using graph neural networks

This paper introduces GraphGPSM, a graph neural network-based scoring model for protein structure prediction, which improves accuracy over existing methods on benchmark datasets.

DeepUMQA: Ultrafast Shape Recognition-based Protein Model Quality Assessment using Deep Learning

DeepUMQA improves protein model quality assessment by integrating Ultrafast Shape Recognition features with deep learning, outperforming existing methods on benchmark datasets.

Regulation by HSP70/90 in the different tissues and testis development of male cattle (Cattle-yak and Yak)

This study examines HSP70/90 expression and localization in cattle-yak and yak, finding tissue-specific differences and suggesting HSP90 upregulation may contribute to cattle-yak infertility.