11 citations · 13 across the 3 of their papers we have counts for
4 papers
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Liang He, Shizhuo Zhang, Lijun Wu +10
Understanding protein sequences is vital and urgent for biology, healthcare, and medicine. Labeling approaches are expensive yet time-consuming, while the amount of unlabeled data…
Seq-SetNet: Exploring Sequence Sets for Inferring Structures
Fusong Ju, Jianwei Zhu, Guozheng Wei +3
Sequence set is a widely-used type of data source in a large variety of fields. A typical example is protein structure prediction, which takes an multiple sequence alignment (MSA)…
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
Haicang Zhang, Qi Zhang, Fusong Ju +7
Accurate prediction of inter-residue contacts of a protein is important to calcu- lating its tertiary structure. Analysis of co-evolutionary events among residues has been proved e…
TOPO: Improving remote homologue recognition via identifying common protein structure framework
Jianwei Zhu, Haicang Zhang, Chao Wang +3
Protein structure prediction remains a challenge in the field of computational biology. Traditional protein structure prediction approaches include template-based modelling (say, h…