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Scientific Reports|January 24, 2017
SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systemsYi An, Jiawei Wang, Chen Li, et al.Small (Weinheim an Der Bergstrasse, Germany)|March 13, 2024
Dissolution-Induced Surface Reconstruction of Ni0.95Pt0.05Si/p-Si Photocathode for Efficient Photoelectrochemical H2 ProductionHaoyue Zhang, Shengyang Li, Jing Xu, et al.BMC Bioinformatics|June 15, 2023
eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio-temporal architectures of cellsTomoya Mori, Toshiro Takase, Kuan-Chun Lan, et al.Briefings in Bioinformatics|March 7, 2023
ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learningXiaoti Jia, Pei Zhao, Fuyi Li, et al.Genomics, Proteomics & Bioinformatics|May 16, 2020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural InformationFuyi Li, Andre Leier, Quanzhong Liu, et al.Bioinformatics (Oxford, England)|October 26, 2017
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracyJiangning Song, Fuyi Li, André Leier, et al.Briefings in Bioinformatics|November 19, 2020
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamasesYanan Wang, Fuyi Li, Manasa Bharathwaj, et al.Biomedicines|November 6, 2019
Circulating Exosomal miRNA Profiles Predict the Occurrence and Recurrence of Hepatocellular Carcinoma in Patients with Direct-Acting Antiviral-Induced Sustained Viral ResponseSaori Itami-Matsumoto, Michiyo Hayakawa, Sawako Uchida-Kobayashi, et al.Briefings in Bioinformatics|June 27, 2023
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activitiesJing Xu, Fuyi Li, Chen Li, et al.Nucleic Acids Research|March 4, 2021
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualizationZhen Chen, Pei Zhao, Chen Li, et al.Pageof 26