The Protein Model Quality Assessment

Welcome to GraphCPLMQA

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

In GraphCPLMQA, sequence and structural embeddings are extracted by protein language models, and supplemented with structural features to predict model quality through the coupled neural networks. The network consists of a graph module that encodes the sequence-structure relationship and a transform-based convolutional module that decodes structure- quality the relationship.

GraphCPLMQA-MSA

Evaluate monomer structures using MSA language model.

GraphCPLMQA-Single

Evaluate multimer structures using a single sequence language model.

Model Ranking

Sort multiple candidate models.

GraphCPLMQA papers

  • Dong Liu, Biao Zhang, Jun Liu, Hui Li*, Le Song* and Guijun Zhang*.   GraphCPLMQA: Assessing protein model quality based on deep graph coupled networks using protein language model.   Briefings in Bioinformatics, 2024, 25(1): bbad420..