BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

23 related articles for article (PubMed ID: 37327922)

  • 1. A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
    Guan J; Yao L; Xie P; Chung CR; Huang Y; Chiang YC; Lee TY
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38706321
    [TBL] [Abstract][Full Text] [Related]  

  • 2. UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique.
    Liao YH; Chen SZ; Bin YN; Zhao JP; Feng XL; Zheng CH
    Comput Methods Programs Biomed; 2024 Jun; 250():108176. PubMed ID: 38677081
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19.
    Dhall A; Patiyal S; Sharma N; Usmani SS; Raghava GPS
    Brief Bioinform; 2021 Mar; 22(2):936-945. PubMed ID: 33034338
    [TBL] [Abstract][Full Text] [Related]  

  • 4. StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.
    Charoenkwan P; Chiangjong W; Nantasenamat C; Hasan MM; Manavalan B; Shoombuatong W
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33963832
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EnILs: A General Ensemble Computational Approach for Predicting Inducing Peptides of Multiple Interleukins.
    Su R; Zhuang J; Liu S; Liu D; Feng K
    J Comput Biol; 2023 Dec; 30(12):1289-1304. PubMed ID: 38010531
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PD-BertEDL: An Ensemble Deep Learning Method Using BERT and Multivariate Representation to Predict Peptide Detectability.
    Wang H; Wang J; Feng Z; Li Y; Zhao H
    Int J Mol Sci; 2022 Oct; 23(20):. PubMed ID: 36293242
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MVIL6: Accurate identification of IL-6-induced peptides using multi-view feature learning.
    Wang R; Feng Y; Sun M; Jiang Y; Li Z; Cui L; Wei L
    Int J Biol Macromol; 2023 Aug; 246():125412. PubMed ID: 37327922
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations.
    Zhang R; Ghosh S; Pal R
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35437577
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Peptides-based therapeutics: Emerging potential therapeutic agents for COVID-19.
    Shah JN; Guo GQ; Krishnan A; Ramesh M; Katari NK; Shahbaaz M; Abdellattif MH; Singh SK; Dua K
    Therapie; 2022; 77(3):319-328. PubMed ID: 34689960
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Review and Comparative Analysis of Machine Learning-based Predictors for Predicting and Analyzing Anti-angiogenic Peptides.
    Charoenkwan P; Chiangjong W; Hasan MM; Nantasenamat C; Shoombuatong W
    Curr Med Chem; 2022; 29(5):849-864. PubMed ID: 34375178
    [TBL] [Abstract][Full Text] [Related]  

  • 11.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 12.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 13.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 14.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 15.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 16.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.