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 *

187 related articles for article (PubMed ID: 37450162)

  • 1. Machine Learning Methods for Virus-Host Protein-Protein Interaction Prediction.
    Karpuzcu BA; Türk E; Ibrahim AH; Karabulut OC; Süzek BE
    Methods Mol Biol; 2023; 2690():401-417. PubMed ID: 37450162
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches.
    Zheng N; Wang K; Zhan W; Deng L
    Curr Drug Metab; 2019; 20(3):177-184. PubMed ID: 30156155
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Current status and future perspectives of computational studies on human-virus protein-protein interactions.
    Lian X; Yang X; Yang S; Zhang Z
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33693490
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning on protein-protein interaction prediction: models, challenges and trends.
    Tang T; Zhang X; Liu Y; Peng H; Zheng B; Yin Y; Zeng X
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36880207
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of Machine Learning Approaches for Protein-protein Interactions Prediction.
    Zhang M; Su Q; Lu Y; Zhao M; Niu B
    Med Chem; 2017; 13(6):506-514. PubMed ID: 28530547
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting protein-protein interactions between human and hepatitis C virus via an ensemble learning method.
    Emamjomeh A; Goliaei B; Zahiri J; Ebrahimpour R
    Mol Biosyst; 2014 Dec; 10(12):3147-54. PubMed ID: 25230581
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
    Chen H; Li F; Wang L; Jin Y; Chi CH; Kurgan L; Song J; Shen J
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32459334
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Stringent DDI-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions.
    Zhou H; Rezaei J; Hugo W; Gao S; Jin J; Fan M; Yong CH; Wozniak M; Wong L
    BMC Syst Biol; 2013; 7 Suppl 6(Suppl 6):S6. PubMed ID: 24564941
    [TBL] [Abstract][Full Text] [Related]  

  • 9. LSTM-PHV: prediction of human-virus protein-protein interactions by LSTM with word2vec.
    Tsukiyama S; Hasan MM; Fujii S; Kurata H
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34160596
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HVIDB: a comprehensive database for human-virus protein-protein interactions.
    Yang X; Lian X; Fu C; Wuchty S; Yang S; Zhang Z
    Brief Bioinform; 2021 Mar; 22(2):832-844. PubMed ID: 33515030
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine-learning techniques for the prediction of protein-protein interactions.
    Sarkar D; Saha S
    J Biosci; 2019 Sep; 44(4):. PubMed ID: 31502581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.
    Liu GH; Shen HB; Yu DJ
    J Membr Biol; 2016 Apr; 249(1-2):141-53. PubMed ID: 26563228
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ML-AdVInfect: A Machine-Learning Based Adenoviral Infection Predictor.
    Karabulut OC; Karpuzcu BA; Türk E; Ibrahim AH; Süzek BE
    Front Mol Biosci; 2021; 8():647424. PubMed ID: 34026828
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods.
    Yang S; Li H; He H; Zhou Y; Zhang Z
    Brief Bioinform; 2019 Jan; 20(1):274-287. PubMed ID: 29028906
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction.
    Ma Y; He T; Tan Y; Jiang X
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1322-1333. PubMed ID: 32750886
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Network analysis and in silico prediction of protein-protein interactions with applications in drug discovery.
    Murakami Y; Tripathi LP; Prathipati P; Mizuguchi K
    Curr Opin Struct Biol; 2017 Jun; 44():134-142. PubMed ID: 28364585
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detecting reliable non interacting proteins (NIPs) significantly enhancing the computational prediction of protein-protein interactions using machine learning methods.
    Srivastava A; Mazzocco G; Kel A; Wyrwicz LS; Plewczynski D
    Mol Biosyst; 2016 Mar; 12(3):778-85. PubMed ID: 26738778
    [TBL] [Abstract][Full Text] [Related]  

  • 18. In Silico Protein-Protein Interactions: Avoiding Data and Method Biases Over Sensitivity and Specificity.
    Folador EL; de Oliveira Junior AF; Tiwari S; Jamal SB; Ferreira RS; Barh D; Ghosh P; Silva A; Azevedo V
    Curr Protein Pept Sci; 2015; 16(8):689-700. PubMed ID: 25961403
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Recent advances in predicting and modeling protein-protein interactions.
    Durham J; Zhang J; Humphreys IR; Pei J; Cong Q
    Trends Biochem Sci; 2023 Jun; 48(6):527-538. PubMed ID: 37061423
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation.
    Li Y; Wang Z; You ZH; Li LP; Hu X
    Comput Math Methods Med; 2022; 2022():7191684. PubMed ID: 35242211
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.