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miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions

Nucleic acids research, 2022-01, Vol.50 (D1), p.D222-D230

2022

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AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches

Briefings in bioinformatics, 2021-11, Vol.22 (6)

2021

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StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture

International journal of molecular sciences, 2023-06, Vol.24 (12), p.10348

2023

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Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation

International journal of molecular sciences, 2023-02, Vol.24 (5), p.4328

2023

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KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation Sites

Genomics, proteomics & bioinformatics, 2023-02, Vol.21 (1), p.228-241

2023

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A Robust Drug–Target Interaction Prediction Framework with Capsule Network and Transfer Learning

International journal of molecular sciences, 2023-09, Vol.24 (18), p.14061

2023

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ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides

Applied sciences, 2023-06, Vol.13 (12), p.6965

2023

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KinPred-RNA—kinase activity inference and cancer type classification using machine learning on RNA-seq data

iScience, 2024-04, Vol.27 (4), p.109333-109333, Article 109333

2024

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Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities

Bioinformatics (Oxford, England), 2022-12, Vol.38 (24), p.5368-5374

2022

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dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications

Nucleic acids research, 2022-01, Vol.50 (D1), p.D471-D479

2022

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D eepAFP : An effective computational framework for identifying antifungal peptides based on deep learning

Protein science, 2023-10, Vol.32 (10)

2023

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Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning

Journal of chemical information and modeling, 2023-12, Vol.63 (24), p.7886-7898

2023

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dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data

Nucleic acids research, 2022-01, Vol.50 (D1), p.D460-D470

2022

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Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation

Analytical chemistry (Washington), 2024-01, Vol.96 (4), p.1538-1546

2024

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CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network

Journal of chemical information and modeling, 2024-07, Vol.64 (14), p.5725-5736

2024

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CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers

Nucleic acids research, 2022-01, Vol.50 (D1), p.D93-D101

2022

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A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy

Briefings in bioinformatics, 2024-03, Vol.25 (3)

2024

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ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network

Briefings in bioinformatics, 2024-07, Vol.25 (5)

2024

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dbPTM 2025 update: comprehensive integration of PTMs and proteomic data for advanced insights into cancer research

Nucleic acids research, 2024-11

2024

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DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning

Protein science, 2023-10, Vol.32 (10), p.e4758

2023

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AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest

Protein science, 2024-06, Vol.33 (6), p.e5006-n/a

2024

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Extraction of microRNA–target interaction sentences from biomedical literature by deep learning approach

Briefings in bioinformatics, 2023-01, Vol.24 (1)

2023

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g-C3N4 promoted NiFe-LDH self-assemble high performance supercapacitor composites

Journal of alloys and compounds, 2022-10, Vol.919, p.165805, Article 165805

2022

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Influence of salinity on hydrogen isotope fractionation of n-alkanes in mangrove leaves and surface sediments: A comparison across various geomorphological settings

Chemical geology, 2023-09, Vol.634, p.121589, Article 121589

2023

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In situ hydrogel capturing nitric oxide microbubbles accelerates the healing of diabetic foot

Journal of controlled release, 2022-10, Vol.350, p.93-106

2022

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miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions

AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches

StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture

Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation

KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation Sites

A Robust Drug–Target Interaction Prediction Framework with Capsule Network and Transfer Learning

ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides

KinPred-RNA—kinase activity inference and cancer type classification using machine learning on RNA-seq data

Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities

dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications

D eepAFP : An effective computational framework for identifying antifungal peptides based on deep learning

Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning

dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data

Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation

CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network

CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers

A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy

ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network

dbPTM 2025 update: comprehensive integration of PTMs and proteomic data for advanced insights into cancer research

DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning

AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest

Extraction of microRNA–target interaction sentences from biomedical literature by deep learning approach

g-C3N4 promoted NiFe-LDH self-assemble high performance supercapacitor composites

Influence of salinity on hydrogen isotope fractionation of n-alkanes in mangrove leaves and surface sediments: A comparison across various geomorphological settings

In situ hydrogel capturing nitric oxide microbubbles accelerates the healing of diabetic foot

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