11 citations · 15 across the 6 of their papers we have counts for
6 papers
ILETIA: An AI-enhanced method for individualized trigger-oocyte pickup interval estimation of progestin-primed ovarian stimulation protocol
Binjian Wu, Qian Li, Zhe Kuang +13
In vitro fertilization-embryo transfer (IVF-ET) stands as one of the most prevalent treatments for infertility. During an IVF-ET cycle, the time interval between trigger shot and o…
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Shiwei Liu, Tian Zhu, Milong Ren +3
Many crucial biological processes rely on networks of protein-protein interactions. Predicting the effect of amino acid mutations on protein-protein binding is vital in protein eng…
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…
Improving protein threading accuracy via combining local and global potential using TreeCRF model
Haicang Zhang, Mingfu Shao, Chao Wang +3
Protein structure prediction remains to be an open problem in bioinformatics. There are two main categories of methods for protein structure prediction: Free Modeling (FM) and Temp…
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…
Optimizing weights of protein energy function to improve ab initio protein structure prediction
Chao Wang, Yi Wei, Juntao Liu +5
Predicting protein 3D structure from amino acid sequence remains as a challenge in the field of computational biology. If protein structure homologues are not found, one has to con…