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Journal Abstract Search

877 related items for PubMed ID: 31502581

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

  • 2. Ens-PPI: A Novel Ensemble Classifier for Predicting the Interactions of Proteins Using Autocovariance Transformation from PSSM.
    Gao ZG, Wang L, Xia SX, You ZH, Yan X, Zhou Y.
    Biomed Res Int; 2016 Sep; 2016():4563524. PubMed ID: 27437399
    [Abstract] [Full Text] [Related]

  • 3. 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 Sep; 2022():7191684. PubMed ID: 35242211
    [Abstract] [Full Text] [Related]

  • 4. Application of Machine Learning Approaches for Protein-protein Interactions Prediction.
    Zhang M, Su Q, Lu Y, Zhao M, Niu B.
    Med Chem; 2017 Sep; 13(6):506-514. PubMed ID: 28530547
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  • 5. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L, Liao L, Wu CH.
    BMC Bioinformatics; 2018 Mar 22; 19(1):103. PubMed ID: 29566671
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  • 6. Improved Prediction of Protein-Protein Interaction Mapping on Homo Sapiens by Using Amino Acid Sequence Features in a Supervised Learning Framework.
    Islam MM, Alam MJ, Ahmed FF, Hasan MM, Mollah MNH.
    Protein Pept Lett; 2021 Mar 22; 28(1):74-83. PubMed ID: 32520672
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  • 7. Prediction of microRNA-regulated protein interaction pathways in Arabidopsis using machine learning algorithms.
    Kurubanjerdjit N, Huang CH, Lee YL, Tsai JJ, Ng KL.
    Comput Biol Med; 2013 Nov 22; 43(11):1645-52. PubMed ID: 24209909
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  • 8. Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.
    Fu Y, Guo Y, Wang Y, Luo J, Pu X, Li M, Zhang Z.
    Comput Biol Chem; 2015 Jun 22; 56():41-8. PubMed ID: 25854804
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  • 9. Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis.
    You ZH, Lei YK, Zhu L, Xia J, Wang B.
    BMC Bioinformatics; 2013 Jun 22; 14 Suppl 8(Suppl 8):S10. PubMed ID: 23815620
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  • 10. Machine learning based identification of protein-protein interactions using derived features of physiochemical properties and evolutionary profiles.
    Tahir M, Hayat M.
    Artif Intell Med; 2017 May 22; 78():61-71. PubMed ID: 28764874
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  • 11. Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches.
    Zheng N, Wang K, Zhan W, Deng L.
    Curr Drug Metab; 2019 May 22; 20(3):177-184. PubMed ID: 30156155
    [Abstract] [Full Text] [Related]

  • 12. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.
    You ZH, Chan KC, Hu P.
    PLoS One; 2015 May 22; 10(5):e0125811. PubMed ID: 25946106
    [Abstract] [Full Text] [Related]

  • 13. 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 22; 10(12):3147-54. PubMed ID: 25230581
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  • 14. Comparing different supervised machine learning algorithms for disease prediction.
    Uddin S, Khan A, Hossain ME, Moni MA.
    BMC Med Inform Decis Mak; 2019 Dec 21; 19(1):281. PubMed ID: 31864346
    [Abstract] [Full Text] [Related]

  • 15. Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.
    Wang YB, You ZH, Li LP, Huang YA, Yi HC.
    Molecules; 2017 Aug 18; 22(8):. PubMed ID: 28820478
    [Abstract] [Full Text] [Related]

  • 16. Prediction of Protein-Protein Interaction via co-occurring Aligned Pattern Clusters.
    Sze-To A, Fung S, Lee EA, Wong AKC.
    Methods; 2016 Nov 01; 110():26-34. PubMed ID: 27476008
    [Abstract] [Full Text] [Related]

  • 17. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences.
    Wang Y, You Z, Li X, Chen X, Jiang T, Zhang J.
    Int J Mol Sci; 2017 May 11; 18(5):. PubMed ID: 28492483
    [Abstract] [Full Text] [Related]

  • 18. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
    Li ZW, You ZH, Chen X, Li LP, Huang DS, Yan GY, Nie R, Huang YA.
    Oncotarget; 2017 Apr 04; 8(14):23638-23649. PubMed ID: 28423569
    [Abstract] [Full Text] [Related]

  • 19. Analysis of Protein-Protein Interaction Networks through Computational Approaches.
    Han Y, Cheng L, Sun W.
    Protein Pept Lett; 2020 Apr 04; 27(4):265-278. PubMed ID: 31692419
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  • 20. Improving the Detection of Protein Complexes by Predicting Novel Missing Interactome Links in the Protein-Protein Interaction Network.
    Zaki N, Alashwal H.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul 04; 2018():5041-5044. PubMed ID: 30441473
    [Abstract] [Full Text] [Related]

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