Search Results - "Liang, Yunyun"

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  1. 1

    HemoFuse: multi-feature fusion based on multi-head cross-attention for identification of hemolytic peptides by Zhao, Ya, Zhang, Shengli, Liang, Yunyun

    Published in Scientific reports (28-09-2024)
    “…Hemolytic peptides are therapeutic peptides that damage red blood cells. However, therapeutic peptides used in medical treatment must exhibit low toxicity to…”
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    Journal Article
  2. 2

    A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning by Xu, Yujie, Zhang, Shengli, Zhu, Feng, Liang, Yunyun

    Published in Scientific reports (08-08-2024)
    “…As a class of biologically active molecules with significant immunomodulatory and anti-inflammatory effects, anti-inflammatory peptides have important…”
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  3. 3

    The Influence of the Surface Topographical Cues of Biomaterials on Nerve Cells in Peripheral Nerve Regeneration: A Review by Liu, Fang, Xu, Jiawei, Wu, Linliang, Zheng, Tiantian, Han, Qi, Liang, Yunyun, Zhang, Liling, Li, Guicai, Yang, Yumin

    Published in Stem cells international (26-07-2021)
    “…The surface topographies of artificial implants including surface roughness, surface groove size and orientation, and surface pore size and distribution have a…”
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  4. 4

    iAVPs-ResBi: Identifying antiviral peptides by using deep residual network and bidirectional gated recurrent unit by Ma, Xinyan, Liang, Yunyun, Zhang, Shengli

    “…Human history is also the history of the fight against viral diseases. From the eradication of viruses to coexistence, advances in biomedicine have led to a…”
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  5. 5

    iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree by Liang, Yunyun, Zhang, Shengli, Qiao, Huijuan, Cheng, Yinan

    “…Enhancer is a non-coding DNA fragment that can be bound with proteins to activate transcription of a gene, hence play an important role in regulating gene…”
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  6. 6
  7. 7

    Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force by Chen, Kaile, Liang, Yunyun, Zhang, Nengqiu

    Published in AIMS mathematics (01-01-2023)
    “…In this article, we consider a three dimensional compressible Navier-Stokes-Korteweg equations with the effect of external potential force. Under the smallness…”
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  8. 8

    Fibroblast exosomal TFAP2C induced by chitosan oligosaccharides promotes peripheral axon regeneration via the miR-132-5p/CAMKK1 axis by Zhao, Yahong, Liu, Jina, Liu, Sha, Yang, Panpan, Liang, Yunyun, Ma, Jinyu, Mao, Susu, Sun, Cheng, Yang, Yumin

    Published in Bioactive materials (01-08-2023)
    “…Chitosan and its degradation product, oligosaccharides, have been shown to facilitate peripheral nerve regeneration. However, the underlying mechanisms are not…”
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  9. 9

    Proteomic Analysis of Silk Fibroin Reveals Diverse Biological Function of Different Degumming Processing From Different Origin by Wang, Yaling, Liang, Yunyun, Huang, Jiacen, Gao, Yisheng, Xu, Zhixin, Ni, Xuejun, Yang, Yumin, Yang, Xiaoming, Zhao, Yahong

    “…Silk, as a kind of natural fibrin, has been prepared into various biomaterials due to its excellent biocompatibility and mechanicalness. However, there are…”
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  10. 10

    Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC by Zhang, Shengli, Liang, Yunyun

    Published in Journal of theoretical biology (14-11-2018)
    “…•A feature design model named MACC-PSSM is proposed by integrating Moran autocorrelation and cross correlation with PSSM.•The principal component analysis is…”
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  11. 11

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

    Published in Journal of theoretical biology (07-10-2018)
    “…•A feature design model named ACCP-KL-NMF is proposed based on PSSM.•The nonnegative matrix factorization based on Kullback–Leibler divergence is successfully…”
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  12. 12

    Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule by Liang, Yunyun, Zhang, Shengli

    Published in Biophysical chemistry (01-10-2019)
    “…DNase I hypersensitive sites (DHSs) are regarded as those regions of chromatin that are sensitive to cleavage by the DNase I enzyme. Identification of DNase I…”
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  13. 13

    Application of conductive PPy/SF composite scaffold and electrical stimulation for neural tissue engineering by Zhao, Yahong, Liang, Yunyun, Ding, Supeng, Zhang, Kunyu, Mao, Hai-quan, Yang, Yumin

    Published in Biomaterials (01-10-2020)
    “…Electrical stimulation (ES) with conductive polymers can dramatically enhance neurite outgrowth and promote neural regeneration. However, besides ES, the…”
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  14. 14

    NeuroPred-ResSE: Predicting neuropeptides by integrating residual block and squeeze-excitation attention mechanism by Liang, Yunyun, Cao, Mengyi, Zhang, Shengli

    Published in Analytical biochemistry (01-12-2024)
    “…Neuropeptides play crucial roles in regulating neurological function acting as signaling molecules, which provide new opportunity for developing drugs for the…”
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  15. 15

    AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides by Zhang, Shengli, Zhao, Ya, Liang, Yunyun

    Published in Bioinformatics (Oxford, England) (04-03-2024)
    “…Abstract Motivation Anticancer peptides (ACPs) have natural cationic properties and can act on the anionic cell membrane of cancer cells to kill cancer cells…”
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  16. 16

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

    Published in Journal of molecular graphics & modelling (01-11-2017)
    “…[Display omitted] •A feature extraction method called PSSS-SOMA-PSSM is proposed by fusing two different modes of evolutionary information.•Second-order moving…”
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  17. 17

    iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection by Liang, Yunyun, Zhang, Shengli, Qiao, Huijuan, Yao, Yingying

    Published in Analytical biochemistry (01-10-2021)
    “…Promoter is a region of DNA that determines the transcription of a particular gene. There are several σ factors in the RNA polymerase, which has the function…”
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  18. 18

    TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites by Zhang, Shengli, Xu, Yujie, Liang, Yunyun

    “…RNA N7-methylguanosine (m7G) is a crucial chemical modification of RNA molecules, whose principal duty is to maintain RNA function and protein translation…”
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  19. 19

    Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree by Zhang, Shengli, Yao, Yingying, Wang, Jiesheng, Liang, Yunyun

    Published in Analytical biochemistry (01-09-2022)
    “…N4-methylcytosine (4 mC) is an important and common methylation which widely exists in prokaryotes. It plays a crucial role in correcting DNA replication…”
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  20. 20

    Prediction of Apoptosis Protein’s Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information by Liang, Yunyun, Zhang, Shengli

    Published in Acta biotheoretica (01-03-2018)
    “…The apoptosis protein has a central role in the development and the homeostasis of an organism. Obtaining information about the subcellular localization of…”
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