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PreviewIssue DateTitleAuthor(s)
2022ASPIRER: A new computational approach for identifying non-classical secreted proteins based on deep learningWang, X.; Li, F.; Xu, J.; Rong, J.; Webb, G.I.; Ge, Z.; Li, J.; Song, J.
2023iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activitiesXu, J.; Li, F.; Li, C.; Guo, X.; Landersdorfer, C.; Shen, H.H.; Peleg, A.Y.; Li, J.; Imoto, S.; Yao, J.; Akutsu, T.; Song, J.
2020PRISMOID: A comprehensive 3D structure database for post-translational modifications and mutations with functional impactLi, F.; Fan, C.; Marquez-Lago, T.T.; Leier, A.; Revote, J.; Jia, C.; Zhu, Y.; Smith, A.I.; Webb, G.I.; Liu, Q.; Wei, L.; Li, J.; Song, J.
2021Large-scale comparative review and assessment of computational methods for anti-cancer peptide identificationLiang, X.; Li, F.; Chen, J.; Li, J.; Wu, H.; Li, S.; Song, J.; Liu, Q.
2020iLearn: An integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence dataChen, Z.; Zhao, P.; Li, F.; Marquez-Lago, T.T.; Leier, A.; Revote, J.; Zhu, Y.; Powell, D.R.; Akutsu, T.; Webb, G.I.; Chou, K.C.; Smith, A.I.; Daly, R.J.; Li, J.; Song, J.
2022iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data setsChen, Z.; Liu, X.; Zhao, P.; Li, C.; Wang, Y.; Li, F.; Akutsu, T.; Bain, C.; Gasser, R.B.; Li, J.; Yang, Z.; Gao, X.; Kurgan, L.; Song, J.
2021A Deep Learning-Based Method for Identification of Bacteriophage-Host InteractionLi, M.; Wang, Y.; Li, F.; Zhao, Y.; Liu, M.; Zhang, S.; Bin, Y.; Smith, A.I.; Webb, G.I.; Li, J.; Song, J.; Xia, J.
2021DeepBL: a deep learning-based approach for in silico discovery of beta-lactamasesWang, Y.; Li, F.; Bharathwaj, M.; Rosas, N.C.; Leier, A.; Akutsu, T.; Webb, G.I.; Marquez-Lago, T.T.; Li, J.; Lithgow, T.; Song, J.
2020Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural InformationLi, F.; Leier, A.; Liu, Q.; Wang, Y.; Xiang, D.; Akutsu, T.; Webb, G.I.; Smith, A.I.; Marquez-Lago, T.; Li, J.; Song, J.
2021Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.Xu, J.; Li, F.; Leier, A.; Xiang, D.; Shen, H.-H.; Marquez Lago, T.T.; Li, J.; Yu, D.-J.; Song, J.

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