CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism by Jin, Zhi, Wu, Tingfang, Chen, Taoning, Pan, Deng, Wang, Xuejiao, Xie, Jingxin, Quan, Lijun, Lyu, Qiang

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Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events by Pan, Deng, Quan, Lijun, Jin, Zhi, Chen, Taoning, Wang, Xuejiao, Xie, Jingxin, Wu, Tingfang, Lyu, Qiang

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RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding by Wang, Xuejiao, Wu, Tingfang, Jiang, Yelu, Chen, Taoning, Pan, Deng, Jin, Zhi, Xie, Jingxin, Quan, Lijun, Lyu, Qiang

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DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features by Xie, Jingxin, Quan, Lijun, Wang, Xuejiao, Wu, Hongjie, Jin, Zhi, Pan, Deng, Chen, Taoning, Wu, Tingfang, Lyu, Qiang

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MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction by Wang, Junkai, Quan, Lijun, Jin, Zhi, Wu, Hongjie, Ma, Xuhao, Wang, Xuejiao, Xie, Jingxin, Pan, Deng, Chen, Taoning, Wu, Tingfang, Lyu, Qiang

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TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer by Chen, Taoning, Wu, Tingfang, Pan, Deng, Xie, Jinxing, Zhi, Jin, Wang, Xuejiao, Quan, Lijun, Lyu, Qiang

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Regulating the selectivity through ionomer–catalyst interactions for high-efficiency electrocatalytic CO2 reduction by Chen, Yu, Taoning Lei, Xu, Li, Jin, Chuyao, Yi, Jundong, Liu, Shenghui, Lin, Saisai, Yang, Yang, Song, Hao, Wang, Kaige, Fan, Haidong, Zheng, Chenghang, Zhang, Xiao, Gao, Xiang

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Application of artificial intelligence hybrid models in safety assessment of submarine pipelines: Principles and methods by Zhang, Shenwen, Zhang, Anmin, Chen, Pengxv, Li, Huiting, Zeng, Xi, Chen, Shuai, Dong, Taoning, Shi, Peiru, Lang, Yiming, Zhou, Qingji

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Trajectories prediction in multi-ship encounters: Utilizing graph convolutional neural networks with GRU and Self-Attention Mechanism by Zeng, Xi, Gao, Miao, Zhang, Anmin, Zhu, Jixiang, Hu, Yingjun, Chen, Pengxu, Chen, Shuai, Dong, Taoning, Zhang, Shenwen, Shi, Peiru

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Regulating the selectivity through ionomer–catalyst interactions for high-efficiency electrocatalytic CO 2 reduction by Yu, Chen, Lei, Taoning, Xu, Li, Jin, Chuyao, Yi, Jundong, Liu, Shenghui, Lin, Saisai, Yang, Yang, Song, Hao, Wang, Kaige, Fan, Haidong, Zheng, Chenghang, Zhang, Xiao, Gao, Xiang

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Regulating the selectivity through ionomer-catalyst interactions for high-efficiency electrocatalytic CO reduction by Yu, Chen, Lei, Taoning, Xu, Li, Jin, Chuyao, Yi, Jundong, Liu, Shenghui, Lin, Saisai, Yang, Yang, Song, Hao, Wang, Kaige, Fan, Haidong, Zheng, Chenghang, Zhang, Xiao, Gao, Xiang

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Discovery of 4,6-pyrimidinediamine derivatives as novel dual EGFR/FGFR inhibitors aimed EGFR/FGFR1-positive NSCLC by Xie, Zixin, Wu, Kaiqi, Wang, Yuexuan, Pan, Yaqian, Chen, Bo, Cheng, Donghua, Pan, Suwei, Guo, Taoning, Du, Xuze, Fang, Longcheng, Wang, Xuebao, Ye, Faqing

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