BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

208 related articles for article (PubMed ID: 30395465)

  • 1. Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures.
    Hanson J; Paliwal K; Zhou Y
    J Chem Inf Model; 2018 Nov; 58(11):2369-2376. PubMed ID: 30395465
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning.
    Hanson J; Paliwal KK; Litfin T; Zhou Y
    Genomics Proteomics Bioinformatics; 2019 Dec; 17(6):645-656. PubMed ID: 32173600
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning.
    Hanson J; Litfin T; Paliwal K; Zhou Y
    Bioinformatics; 2020 Feb; 36(4):1107-1113. PubMed ID: 31504193
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.
    Hanson J; Yang Y; Paliwal K; Zhou Y
    Bioinformatics; 2017 Mar; 33(5):685-692. PubMed ID: 28011771
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network method.
    Fang C; Moriwaki Y; Tian A; Li C; Shimizu K
    J Bioinform Comput Biol; 2019 Feb; 17(1):1950004. PubMed ID: 30866736
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins.
    Basu S; Söderquist F; Wallner B
    J Comput Aided Mol Des; 2017 May; 31(5):453-466. PubMed ID: 28365882
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.
    Hanson J; Paliwal K; Litfin T; Yang Y; Zhou Y
    Bioinformatics; 2018 Dec; 34(23):4039-4045. PubMed ID: 29931279
    [TBL] [Abstract][Full Text] [Related]  

  • 8. cnnAlpha: Protein disordered regions prediction by reduced amino acid alphabets and convolutional neural networks.
    Oberti M; Vaisman II
    Proteins; 2020 Nov; 88(11):1472-1481. PubMed ID: 32535960
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields.
    Wang S; Weng S; Ma J; Tang Q
    Int J Mol Sci; 2015 Jul; 16(8):17315-30. PubMed ID: 26230689
    [TBL] [Abstract][Full Text] [Related]  

  • 10. POODLE: tools predicting intrinsically disordered regions of amino acid sequence.
    Shimizu K
    Methods Mol Biol; 2014; 1137():131-45. PubMed ID: 24573479
    [TBL] [Abstract][Full Text] [Related]  

  • 11. High-throughput prediction of disordered moonlighting regions in protein sequences.
    Meng F; Kurgan L
    Proteins; 2018 Oct; 86(10):1097-1110. PubMed ID: 30099775
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of intrinsic disorder in proteins using MFDp2.
    Mizianty MJ; Uversky V; Kurgan L
    Methods Mol Biol; 2014; 1137():147-62. PubMed ID: 24573480
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computational Prediction of Intrinsic Disorder in Proteins.
    Meng F; Uversky V; Kurgan L
    Curr Protoc Protein Sci; 2017 Apr; 88():2.16.1-2.16.14. PubMed ID: 28369666
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Intrinsic Disorder and Semi-disorder Prediction by SPINE-D.
    Zhang T; Faraggi E; Li Z; Zhou Y
    Methods Mol Biol; 2017; 1484():159-174. PubMed ID: 27787826
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of protein disorder based on IUPred.
    Dosztányi Z
    Protein Sci; 2018 Jan; 27(1):331-340. PubMed ID: 29076577
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying Similar Patterns of Structural Flexibility in Proteins by Disorder Prediction and Dynamic Programming.
    Petrovich A; Borne A; Uversky VN; Xue B
    Int J Mol Sci; 2015 Jun; 16(6):13829-49. PubMed ID: 26086829
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.
    Wang Z; Yang Q; Li T; Cong P
    PLoS One; 2015; 10(6):e0128334. PubMed ID: 26090958
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
    Wang S; Sun S; Li Z; Zhang R; Xu J
    PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting Conformational Disorder.
    Lieutaud P; Ferron F; Longhi S
    Methods Mol Biol; 2016; 1415():265-99. PubMed ID: 27115638
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind.
    Peng Z; Wang C; Uversky VN; Kurgan L
    Methods Mol Biol; 2017; 1484():187-203. PubMed ID: 27787828
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.