These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 38500243)

  • 1. A novel stacking-based predictor for accurate prediction of antimicrobial peptides.
    Kanwal S; Arif R; Ahmed S; Kabir M
    J Biomol Struct Dyn; 2024 Mar; ():1-12. PubMed ID: 38500243
    [TBL] [Abstract][Full Text] [Related]  

  • 2. StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens.
    Charoenkwan P; Schaduangrat N; Shoombuatong W
    BMC Bioinformatics; 2023 Jul; 24(1):301. PubMed ID: 37507654
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.
    Hasan MM; Tsukiyama S; Cho JY; Kurata H; Alam MA; Liu X; Manavalan B; Deng HW
    Mol Ther; 2022 Aug; 30(8):2856-2867. PubMed ID: 35526094
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile.
    Jan A; Hayat M; Wedyan M; Alturki R; Gazzawe F; Ali H; Alarfaj FK
    Comput Biol Med; 2022 Dec; 151(Pt A):106311. PubMed ID: 36410097
    [TBL] [Abstract][Full Text] [Related]  

  • 5. TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides.
    Charoenkwan P; Kongsompong S; Schaduangrat N; Chumnanpuen P; Shoombuatong W
    BMC Bioinformatics; 2023 Sep; 24(1):356. PubMed ID: 37735626
    [TBL] [Abstract][Full Text] [Related]  

  • 6. iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.
    Xu J; Li F; Li C; Guo X; Landersdorfer C; Shen HH; Peleg AY; Li J; Imoto S; Yao J; Akutsu T; Song J
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37369638
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model.
    Akbar S; Raza A; Zou Q
    BMC Bioinformatics; 2024 Mar; 25(1):102. PubMed ID: 38454333
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Antimicrobial peptides recognition using weighted physicochemical property encoding.
    Na S; Wannigama DL; Saethang T
    J Bioinform Comput Biol; 2023 Apr; 21(2):2350006. PubMed ID: 37120707
    [TBL] [Abstract][Full Text] [Related]  

  • 9. StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides.
    Charoenkwan P; Nantasenamat C; Hasan MM; Moni MA; Lio' P; Manavalan B; Shoombuatong W
    Methods; 2022 Aug; 204():189-198. PubMed ID: 34883239
    [TBL] [Abstract][Full Text] [Related]  

  • 10. PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.
    Zhang Y; Yu S; Xie R; Li J; Leier A; Marquez-Lago TT; Akutsu T; Smith AI; Ge Z; Wang J; Lithgow T; Song J
    Bioinformatics; 2020 Feb; 36(3):704-712. PubMed ID: 31393553
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Antimicrobial Peptides Prediction method based on sequence multidimensional feature embedding.
    Dong B; Li M; Jiang B; Gao B; Li D; Zhang T
    Front Genet; 2022; 13():1069558. PubMed ID: 36468005
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.
    Xu J; Li F; Leier A; Xiang D; Shen HH; Marquez Lago TT; Li J; Yu DJ; Song J
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33774670
    [TBL] [Abstract][Full Text] [Related]  

  • 13. SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins.
    Charoenkwan P; Schaduangrat N; Moni MA; Lio' P; Manavalan B; Shoombuatong W
    Comput Biol Med; 2022 Jul; 146():105704. PubMed ID: 35690478
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning framework.
    Charoenkwan P; Chumnanpuen P; Schaduangrat N; Shoombuatong W
    J Biomol Struct Dyn; 2024 Feb; ():1-13. PubMed ID: 38385478
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs.
    Lertampaiporn S; Vorapreeda T; Hongsthong A; Thammarongtham C
    Genes (Basel); 2021 Jan; 12(2):. PubMed ID: 33494403
    [TBL] [Abstract][Full Text] [Related]  

  • 16. AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features.
    Shaon MSH; Karim T; Sultan MF; Ali MM; Ahmed K; Hasan MZ; Moustafa A; Bui FM; Al-Zahrani FA
    Sci Rep; 2024 Jun; 14(1):12892. PubMed ID: 38839785
    [TBL] [Abstract][Full Text] [Related]  

  • 17. NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides.
    Charoenkwan P; Schaduangrat N; Lio' P; Moni MA; Manavalan B; Shoombuatong W
    Comput Biol Med; 2022 Sep; 148():105700. PubMed ID: 35715261
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.
    Xie R; Li J; Wang J; Dai W; Leier A; Marquez-Lago TT; Akutsu T; Lithgow T; Song J; Zhang Y
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32599617
    [TBL] [Abstract][Full Text] [Related]  

  • 19. AI4AMP: an Antimicrobial Peptide Predictor Using Physicochemical Property-Based Encoding Method and Deep Learning.
    Lin TT; Yang LY; Lu IH; Cheng WC; Hsu ZR; Chen SH; Lin CY
    mSystems; 2021 Dec; 6(6):e0029921. PubMed ID: 34783578
    [TBL] [Abstract][Full Text] [Related]  

  • 20. AMP-BERT: Prediction of antimicrobial peptide function based on a BERT model.
    Lee H; Lee S; Lee I; Nam H
    Protein Sci; 2023 Jan; 32(1):e4529. PubMed ID: 36461699
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.