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 *

227 related articles for article (PubMed ID: 23047561)

  • 21. ComplexContact: a web server for inter-protein contact prediction using deep learning.
    Zeng H; Wang S; Zhou T; Zhao F; Li X; Wu Q; Xu J
    Nucleic Acids Res; 2018 Jul; 46(W1):W432-W437. PubMed ID: 29790960
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Improved prediction of the number of residue contacts in proteins by recurrent neural networks.
    Pollastri G; Baldi P; Fariselli P; Casadio R
    Bioinformatics; 2001; 17 Suppl 1():S234-42. PubMed ID: 11473014
    [TBL] [Abstract][Full Text] [Related]  

  • 23. High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features.
    Jones DT; Kandathil SM
    Bioinformatics; 2018 Oct; 34(19):3308-3315. PubMed ID: 29718112
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy.
    Xiong D; Zeng J; Gong H
    Bioinformatics; 2017 Sep; 33(17):2675-2683. PubMed ID: 28472263
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Forecasting residue-residue contact prediction accuracy.
    Wozniak PP; Konopka BM; Xu J; Vriend G; Kotulska M
    Bioinformatics; 2017 Nov; 33(21):3405-3414. PubMed ID: 29036497
    [TBL] [Abstract][Full Text] [Related]  

  • 26. MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins.
    Jones DT; Singh T; Kosciolek T; Tetchner S
    Bioinformatics; 2015 Apr; 31(7):999-1006. PubMed ID: 25431331
    [TBL] [Abstract][Full Text] [Related]  

  • 27. R2C: improving ab initio residue contact map prediction using dynamic fusion strategy and Gaussian noise filter.
    Yang J; Jin QY; Zhang B; Shen HB
    Bioinformatics; 2016 Aug; 32(16):2435-43. PubMed ID: 27153618
    [TBL] [Abstract][Full Text] [Related]  

  • 28. DeepComplex: A Web Server of Predicting Protein Complex Structures by Deep Learning Inter-chain Contact Prediction and Distance-Based Modelling.
    Quadir F; Roy RS; Soltanikazemi E; Cheng J
    Front Mol Biosci; 2021; 8():716973. PubMed ID: 34497831
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predicting protein β-sheet contacts using a maximum entropy-based correlated mutation measure.
    Burkoff NS; Várnai C; Wild DL
    Bioinformatics; 2013 Mar; 29(5):580-7. PubMed ID: 23314126
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13.
    Hou J; Wu T; Cao R; Cheng J
    Proteins; 2019 Dec; 87(12):1165-1178. PubMed ID: 30985027
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Template-based C8-SCORPION: a protein 8-state secondary structure prediction method using structural information and context-based features.
    Yaseen A; Li Y
    BMC Bioinformatics; 2014; 15 Suppl 8(Suppl 8):S3. PubMed ID: 25080939
    [TBL] [Abstract][Full Text] [Related]  

  • 32. ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks.
    Li Y; Hu J; Zhang C; Yu DJ; Zhang Y
    Bioinformatics; 2019 Nov; 35(22):4647-4655. PubMed ID: 31070716
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Predicting residue-residue contacts and helix-helix interactions in transmembrane proteins using an integrative feature-based random forest approach.
    Wang XF; Chen Z; Wang C; Yan RX; Zhang Z; Song J
    PLoS One; 2011; 6(10):e26767. PubMed ID: 22046350
    [TBL] [Abstract][Full Text] [Related]  

  • 35. The MULTICOM toolbox for protein structure prediction.
    Cheng J; Li J; Wang Z; Eickholt J; Deng X
    BMC Bioinformatics; 2012 Apr; 13():65. PubMed ID: 22545707
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Improved contact predictions using the recognition of protein like contact patterns.
    Skwark MJ; Raimondi D; Michel M; Elofsson A
    PLoS Comput Biol; 2014 Nov; 10(11):e1003889. PubMed ID: 25375897
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Predicting residue-residue contact maps by a two-layer, integrated neural-network method.
    Xue B; Faraggi E; Zhou Y
    Proteins; 2009 Jul; 76(1):176-83. PubMed ID: 19137600
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Protein contact prediction using metagenome sequence data and residual neural networks.
    Wu Q; Peng Z; Anishchenko I; Cong Q; Baker D; Yang J
    Bioinformatics; 2020 Jan; 36(1):41-48. PubMed ID: 31173061
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors.
    Newton MAH; Rahman J; Zaman R; Sattar A
    Comput Biol Chem; 2022 Aug; 99():107700. PubMed ID: 35665657
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.
    Ma J; Wang S; Wang Z; Xu J
    Bioinformatics; 2015 Nov; 31(21):3506-13. PubMed ID: 26275894
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.