BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 37155404)

  • 1. Improving Inter-Helix Contact Prediction With Local 2D Topological Information.
    Li J; Sawhney A; Lee JY; Liao L
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):3001-3012. PubMed ID: 37155404
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DeepHelicon: Accurate prediction of inter-helical residue contacts in transmembrane proteins by residual neural networks.
    Sun J; Frishman D
    J Struct Biol; 2020 Oct; 212(1):107574. PubMed ID: 32663598
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving AlphaFold Predicted Contacts for Alpha-Helical Transmembrane Proteins Using Structural Features.
    Sawhney A; Li J; Liao L
    Int J Mol Sci; 2024 May; 25(10):. PubMed ID: 38791287
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of helix-helix contacts and interacting helices in polytopic membrane proteins using neural networks.
    Fuchs A; Kirschner A; Frishman D
    Proteins; 2009 Mar; 74(4):857-71. PubMed ID: 18704938
    [TBL] [Abstract][Full Text] [Related]  

  • 5. TOPTMH: topology predictor for transmembrane alpha-helices.
    Ahmed R; Rangwala H; Karypis G
    J Bioinform Comput Biol; 2010 Feb; 8(1):39-57. PubMed ID: 20183873
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting helix-helix interactions from residue contacts in membrane proteins.
    Lo A; Chiu YY; Rødland EA; Lyu PC; Sung TY; Hsu WL
    Bioinformatics; 2009 Apr; 25(8):996-1003. PubMed ID: 19244388
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep transfer learning for inter-chain contact predictions of transmembrane protein complexes.
    Lin P; Yan Y; Tao H; Huang SY
    Nat Commun; 2023 Aug; 14(1):4935. PubMed ID: 37582780
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of residue pairing in interacting β-strands from a predicted residue contact map.
    Mao W; Wang T; Zhang W; Gong H
    BMC Bioinformatics; 2018 Apr; 19(1):146. PubMed ID: 29673311
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting the helix-helix interactions from correlated residue mutations.
    Xiong D; Mao W; Gong H
    Proteins; 2017 Dec; 85(12):2162-2169. PubMed ID: 28833538
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks.
    Kukic P; Mirabello C; Tradigo G; Walsh I; Veltri P; Pollastri G
    BMC Bioinformatics; 2014 Jan; 15():6. PubMed ID: 24410833
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy.
    Wei Q; Wang R; Jiang Y; Wei L; Sun Y; Geng J; Su R
    Comput Biol Med; 2023 Dec; 167():107631. PubMed ID: 37948966
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Improved inter-protein contact prediction using dimensional hybrid residual networks and protein language models.
    Si Y; Yan C
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36759333
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hybridized distance- and contact-based hierarchical structure modeling for folding soluble and membrane proteins.
    Roche R; Bhattacharya S; Bhattacharya D
    PLoS Comput Biol; 2021 Feb; 17(2):e1008753. PubMed ID: 33621244
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks.
    Walsh I; Baù D; Martin AJ; Mooney C; Vullo A; Pollastri G
    BMC Struct Biol; 2009 Jan; 9():5. PubMed ID: 19183478
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Evaluation of transmembrane helix predictions in 2014.
    Reeb J; Kloppmann E; Bernhofer M; Rost B
    Proteins; 2015 Mar; 83(3):473-84. PubMed ID: 25546441
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. IMPContact: An Interhelical Residue Contact Prediction Method.
    Fang C; Jia Y; Hu L; Lu Y; Wang H
    Biomed Res Int; 2020; 2020():4569037. PubMed ID: 32309431
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ISSEC: inferring contacts among protein secondary structure elements using deep object detection.
    Zhang Q; Zhu J; Ju F; Kong L; Sun S; Zheng WM; Bu D
    BMC Bioinformatics; 2020 Nov; 21(1):503. PubMed ID: 33153432
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.