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 *

210 related articles for article (PubMed ID: 33099033)

  • 1. iLBE for Computational Identification of Linear B-cell Epitopes by Integrating Sequence and Evolutionary Features.
    Hasan MM; Khatun MS; Kurata H
    Genomics Proteomics Bioinformatics; 2020 Oct; 18(5):593-600. PubMed ID: 33099033
    [TBL] [Abstract][Full Text] [Related]  

  • 2. EPMLR: sequence-based linear B-cell epitope prediction method using multiple linear regression.
    Lian Y; Ge M; Pan XM
    BMC Bioinformatics; 2014 Dec; 15(1):414. PubMed ID: 25523327
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using random forest to classify linear B-cell epitopes based on amino acid properties and molecular features.
    Huang JH; Wen M; Tang LJ; Xie HL; Fu L; Liang YZ; Lu HM
    Biochimie; 2014 Aug; 103():1-6. PubMed ID: 24721579
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information.
    Hasan MM; Rashid MM; Khatun MS; Kurata H
    Sci Rep; 2019 Jun; 9(1):8258. PubMed ID: 31164681
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.
    Saravanan V; Gautham N
    OMICS; 2015 Oct; 19(10):648-58. PubMed ID: 26406767
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of B-cell epitopes using evolutionary information and propensity scales.
    Lin SY; Cheng CW; Su EC
    BMC Bioinformatics; 2013; 14 Suppl 2(Suppl 2):S10. PubMed ID: 23484214
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of conformational B-cell epitopes from 3D structures by random forests with a distance-based feature.
    Zhang W; Xiong Y; Zhao M; Zou H; Ye X; Liu J
    BMC Bioinformatics; 2011 Aug; 12():341. PubMed ID: 21846404
    [TBL] [Abstract][Full Text] [Related]  

  • 8. GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features.
    Hasan MM; Kurata H
    PLoS One; 2018; 13(10):e0200283. PubMed ID: 30312302
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PreAIP: Computational Prediction of Anti-inflammatory Peptides by Integrating Multiple Complementary Features.
    Khatun MS; Hasan MM; Kurata H
    Front Genet; 2019; 10():129. PubMed ID: 30891059
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Antibody-protein interactions: benchmark datasets and prediction tools evaluation.
    Ponomarenko JV; Bourne PE
    BMC Struct Biol; 2007 Oct; 7():64. PubMed ID: 17910770
    [TBL] [Abstract][Full Text] [Related]  

  • 11. LBCEPred: a machine learning model to predict linear B-cell epitopes.
    Alghamdi W; Attique M; Alzahrani E; Ullah MZ; Khan YD
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35262658
    [TBL] [Abstract][Full Text] [Related]  

  • 12. B-Cell Epitope Predictions Using Computational Methods.
    Zheng D; Liang S; Zhang C
    Methods Mol Biol; 2023; 2552():239-254. PubMed ID: 36346595
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Introducing of an integrated artificial neural network and Chou's pseudo amino acid composition approach for computational epitope-mapping of Crimean-Congo haemorrhagic fever virus antigens.
    Nosrati M; Mohabatkar H; Behbahani M
    Int Immunopharmacol; 2020 Jan; 78():106020. PubMed ID: 31776090
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of S-nitrosylation sites by integrating support vector machines and random forest.
    Hasan MM; Manavalan B; Khatun MS; Kurata H
    Mol Omics; 2019 Dec; 15(6):451-458. PubMed ID: 31710075
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improved method for linear B-cell epitope prediction using antigen's primary sequence.
    Singh H; Ansari HR; Raghava GP
    PLoS One; 2013; 8(5):e62216. PubMed ID: 23667458
    [TBL] [Abstract][Full Text] [Related]  

  • 16. NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-cell Epitopes.
    Xu H; Zhao Z
    Genomics Proteomics Bioinformatics; 2022 Oct; 20(5):1002-1012. PubMed ID: 36526218
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of linear B-cell epitopes of hepatitis C virus for vaccine development.
    Huang WL; Tsai MJ; Hsu KT; Wang JR; Chen YH; Ho SY
    BMC Med Genomics; 2015; 8 Suppl 4(Suppl 4):S3. PubMed ID: 26680271
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of amino acid propensities that are strong determinants of linear B-cell epitope using neural networks.
    Su CH; Pal NR; Lin KL; Chung IF
    PLoS One; 2012; 7(2):e30617. PubMed ID: 22347389
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparative analysis of amino acid encoding schemes for the prediction of flexible length linear B-cell epitopes.
    Sahu TK; Meher PK; Choudhury NK; Rao AR
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35998895
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification epitopes in groups based on their protein family.
    Kozlova E; Viart B; de Avila R; Felicori L; Chavez-Olortegui C
    BMC Bioinformatics; 2015; 16 Suppl 19(Suppl 19):S7. PubMed ID: 26696329
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.