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Journal Abstract Search

877 related items for PubMed ID: 31502581

  • 21. A Hybrid Docking and Machine Learning Approach to Enhance the Performance of Virtual Screening Carried out on Protein-Protein Interfaces.
    Singh N, Villoutreix BO.
    Int J Mol Sci; 2022 Nov 18; 23(22):. PubMed ID: 36430841
    [Abstract] [Full Text] [Related]

  • 22. Some remarks on prediction of protein-protein interaction with machine learning.
    Zhang SW, Wei ZG.
    Med Chem; 2015 Nov 18; 11(3):254-64. PubMed ID: 25548927
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  • 23. Prediction of interactions between viral and host proteins using supervised machine learning methods.
    Barman RK, Saha S, Das S.
    PLoS One; 2014 Nov 18; 9(11):e112034. PubMed ID: 25375323
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  • 24. Prediction of residue-residue contact matrix for protein-protein interaction with Fisher score features and deep learning.
    Du T, Liao L, Wu CH, Sun B.
    Methods; 2016 Nov 01; 110():97-105. PubMed ID: 27282356
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  • 25. Computational probing protein-protein interactions targeting small molecules.
    Wang YC, Chen SL, Deng NY, Wang Y.
    Bioinformatics; 2016 Jan 15; 32(2):226-34. PubMed ID: 26415726
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  • 26. Reconstructing genome-wide protein-protein interaction networks using multiple strategies with homologous mapping.
    Lo YS, Huang SH, Luo YC, Lin CY, Yang JM.
    PLoS One; 2015 Jan 15; 10(1):e0116347. PubMed ID: 25602759
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  • 27. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
    An JY, You ZH, Meng FR, Xu SJ, Wang Y.
    Int J Mol Sci; 2016 May 18; 17(5):. PubMed ID: 27213337
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  • 28. Machine Learning Methods in Computational Toxicology.
    Baskin II.
    Methods Mol Biol; 2018 May 18; 1800():119-139. PubMed ID: 29934890
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  • 29. Amalgamation of 3D structure and sequence information for protein-protein interaction prediction.
    Jha K, Saha S.
    Sci Rep; 2020 Nov 05; 10(1):19171. PubMed ID: 33154416
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  • 30. Identification of infectious disease-associated host genes using machine learning techniques.
    Barman RK, Mukhopadhyay A, Maulik U, Das S.
    BMC Bioinformatics; 2019 Dec 27; 20(1):736. PubMed ID: 31881961
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  • 31. 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 19; 24(2):. PubMed ID: 36880207
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  • 32. 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 20; 22(3):. PubMed ID: 32459334
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  • 33. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.
    An JY, Meng FR, You ZH, Chen X, Yan GY, Hu JP.
    Protein Sci; 2016 Oct 20; 25(10):1825-33. PubMed ID: 27452983
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  • 34. Automated feature engineering improves prediction of protein-protein interactions.
    Sumonja N, Gemovic B, Veljkovic N, Perovic V.
    Amino Acids; 2019 Aug 20; 51(8):1187-1200. PubMed ID: 31278492
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  • 35. Protein-protein interaction network with machine learning models and multiomics data reveal potential neurodegenerative disease-related proteins.
    Yu X, Lai S, Chen H, Chen M.
    Hum Mol Genet; 2020 May 28; 29(8):1378-1387. PubMed ID: 32277755
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  • 36. Error Tolerance of Machine Learning Algorithms across Contemporary Biological Targets.
    Kaiser TM, Burger PB.
    Molecules; 2019 Jun 04; 24(11):. PubMed ID: 31167452
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  • 37. Exploiting machine learning for end-to-end drug discovery and development.
    Ekins S, Puhl AC, Zorn KM, Lane TR, Russo DP, Klein JJ, Hickey AJ, Clark AM.
    Nat Mater; 2019 May 04; 18(5):435-441. PubMed ID: 31000803
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  • 38. Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.
    Li J, Shi X, You ZH, Yi HC, Chen Z, Lin Q, Fang M.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 May 04; 17(5):1546-1554. PubMed ID: 31940546
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  • 39. 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 04; 249(1-2):141-53. PubMed ID: 26563228
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  • 40. Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics.
    Li ZW, You ZH, Chen X, Gui J, Nie R.
    Int J Mol Sci; 2016 Aug 25; 17(9):. PubMed ID: 27571061
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