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A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning

Scientific reports, 2024-08, Vol.14 (1), p.18451-15, Article 18451

2024

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Application of Machine Learning Techniques in Drug-target Interactions Prediction

Current pharmaceutical design, 2021-01, Vol.27 (17), p.2076-2087

2021

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Data driven adaptive Gaussian mixture model for solving Fokker–Planck equation

Chaos (Woodbury, N.Y.), 2022-03, Vol.32 (3)

2022

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iAVPs-ResBi: Identifying antiviral peptides by using deep residual network and bidirectional gated recurrent unit

Mathematical biosciences and engineering : MBE, 2023-01, Vol.20 (12), p.21563-21587

2023

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iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (6), p.8797-8814

2021

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The Influence of the Surface Topographical Cues of Biomaterials on Nerve Cells in Peripheral Nerve Regeneration: A Review

Stem cells international, 2021-07, Vol.2021, p.1-13

2021

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Integrating Second-order Moving Average and Over-sampling Algorithm to Predict Apoptosis Protein Subcellular Localization

Current bioinformatics, 2020-01, Vol.15 (6), p.517-527

2020

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Correction: Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

AIMS mathematics, 2024-01, Vol.9 (3), p.5480-5481

2024

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Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

AIMS mathematics, 2023-01, Vol.8 (11), p.27712-27724

2023

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Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC

Journal of theoretical biology, 2018-11, Vol.457, p.163-169

2018

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Fibroblast exosomal TFAP2C induced by chitosan oligosaccharides promotes peripheral axon regeneration via the miR-132-5p/CAMKK1 axis

Bioactive materials, 2023-08, Vol.26, p.249-263

2023

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Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback–Leibler divergence

Journal of theoretical biology, 2018-10, Vol.454, p.22-29

2018

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Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule

Biophysical chemistry, 2019-10, Vol.253, p.106227-106227, Article 106227

2019

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Proteomic Analysis of Silk Fibroin Reveals Diverse Biological Function of Different Degumming Processing From Different Origin

Frontiers in bioengineering and biotechnology, 2022-02, Vol.9, p.777320-777320

2022

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NeuroPred-ResSE: Predicting neuropeptides by integrating residual block and squeeze-excitation attention mechanism

Analytical biochemistry, 2024-12, Vol.695, p.115648, Article 115648

2024

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Application of conductive PPy/SF composite scaffold and electrical stimulation for neural tissue engineering

Biomaterials, 2020-10, Vol.255, p.120164-120164, Article 120164

2020

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AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides

Bioinformatics (Oxford, England), 2024-03, Vol.40 (3)

2024

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EACVP: An ESM-2 LM Framework Combined CNN and CBAM Attention to Predict Anti-coronavirus Peptides

Current medicinal chemistry, 2024-03, Vol.31

2024

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Predict protein structural class by incorporating two different modes of evolutionary information into Chou's general pseudo amino acid composition

Journal of molecular graphics & modelling, 2017-11, Vol.78, p.110-117

2017

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iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection

Analytical biochemistry, 2021-10, Vol.630, p.114335-114335, Article 114335

2021

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AMP-EF: An Ensemble Framework of Extreme Gradient Boosting and Bidirectional Long Short-Term Memory Network for Identifying Antimicrobial Peptides

Match (Mülheim), 2024, Vol.91 (1), p.109-131

2024

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iACVP-MR: Accurate Identification of Anti-coronavirus Peptide based on Multiple Features Information and Recurrent Neural Network

Current medicinal chemistry, 2024-02, Vol.31

2024

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TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites

Computational and structural biotechnology journal, 2024-12, Vol.23, p.129-139

2024

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Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree

Analytical biochemistry, 2022-09, Vol.652, p.114746-114746, Article 114746

2022

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Prediction of Apoptosis Protein’s Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information

Acta biotheoretica, 2018-03, Vol.66 (1), p.61-78

2018

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A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning

Application of Machine Learning Techniques in Drug-target Interactions Prediction

Data driven adaptive Gaussian mixture model for solving Fokker–Planck equation

iAVPs-ResBi: Identifying antiviral peptides by using deep residual network and bidirectional gated recurrent unit

iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree

The Influence of the Surface Topographical Cues of Biomaterials on Nerve Cells in Peripheral Nerve Regeneration: A Review

Integrating Second-order Moving Average and Over-sampling Algorithm to Predict Apoptosis Protein Subcellular Localization

Correction: Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC

Fibroblast exosomal TFAP2C induced by chitosan oligosaccharides promotes peripheral axon regeneration via the miR-132-5p/CAMKK1 axis

Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback–Leibler divergence

Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule

Proteomic Analysis of Silk Fibroin Reveals Diverse Biological Function of Different Degumming Processing From Different Origin

NeuroPred-ResSE: Predicting neuropeptides by integrating residual block and squeeze-excitation attention mechanism

Application of conductive PPy/SF composite scaffold and electrical stimulation for neural tissue engineering

AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides

EACVP: An ESM-2 LM Framework Combined CNN and CBAM Attention to Predict Anti-coronavirus Peptides

Predict protein structural class by incorporating two different modes of evolutionary information into Chou's general pseudo amino acid composition

iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection

AMP-EF: An Ensemble Framework of Extreme Gradient Boosting and Bidirectional Long Short-Term Memory Network for Identifying Antimicrobial Peptides

iACVP-MR: Accurate Identification of Anti-coronavirus Peptide based on Multiple Features Information and Recurrent Neural Network

TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites

Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree

Prediction of Apoptosis Protein’s Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information

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