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Briefings in Bioinformatics|April 26, 2023
Improving drug-target affinity prediction via feature fusion and knowledge distillationRuiqiang Lu, Jun Wang, Pengyong Li, et al.Briefings in Bioinformatics|May 16, 2023
CMGN: a conditional molecular generation net to design target-specific molecules with desired propertiesMinjian Yang, Hanyu Sun, Xue Liu, et al.Briefings in Bioinformatics|May 16, 2023
emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression modelShuang Yang, Weikang Gong, Tong Zhou, et al.Briefings in Bioinformatics|May 17, 2023
Attention-based cross domain graph neural network for prediction of drug-drug interactionsHui Yu, KangKang Li, WenMin Dong, et al.Briefings in Bioinformatics|May 18, 2023
Census of exposed aggregation-prone regions in proteomesThéo Falgarone, Etienne Villain, Francois Richard, et al.Briefings in Bioinformatics|May 18, 2023
Integrating multiple traits for improving polygenic risk prediction in disease and pharmacogenomics GWASSong Zhai, Bin Guo, Baolin Wu, et al.Briefings in Bioinformatics|May 18, 2023
WMSA 2: a multiple DNA/RNA sequence alignment tool implemented with accurate progressive mode and a fast win-win mode combining the center star and progressive strategiesJuntao Chen, Jiannan Chao, Huan Liu, et al.Briefings in Bioinformatics|May 18, 2023
CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq dataJing Xu, Aidi Zhang, Fang Liu, et al.Briefings in Bioinformatics|May 19, 2023
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptorYu Zhao, Xiaona Su, Weitong Zhang, et al.Briefings in Bioinformatics|May 19, 2023
Structural interaction fingerprints and machine learning for predicting and explaining binding of small molecule ligands to RNANatalia A Szulc, Zuzanna Mackiewicz, Janusz M Bujnicki, et al.Pageof 545