BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 33153432)

  • 1. 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]  

  • 2. Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
    Zhang H; Zhang Q; Ju F; Zhu J; Gao Y; Xie Z; Deng M; Sun S; Zheng WM; Bu D
    BMC Bioinformatics; 2019 Oct; 20(1):537. PubMed ID: 31664895
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Connectivity independent protein-structure alignment: a hierarchical approach.
    Kolbeck B; May P; Schmidt-Goenner T; Steinke T; Knapp EW
    BMC Bioinformatics; 2006 Nov; 7():510. PubMed ID: 17118190
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accurate prediction of inter-protein residue-residue contacts for homo-oligomeric protein complexes.
    Yan Y; Huang SY
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33693482
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CONFOLD: Residue-residue contact-guided ab initio protein folding.
    Adhikari B; Bhattacharya D; Cao R; Cheng J
    Proteins; 2015 Aug; 83(8):1436-49. PubMed ID: 25974172
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mathematical and Machine Learning Approaches for Classification of Protein Secondary Structure Elements from
    Sekmen A; Al Nasr K; Bilgin B; Koku AB; Jones C
    Biomolecules; 2023 May; 13(6):. PubMed ID: 37371503
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Unattained geometric configurations of secondary structure elements in protein structural space.
    Sykes J; Holland B; Charleston M
    J Struct Biol; 2022 Sep; 214(3):107870. PubMed ID: 35649487
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Exploring protein domain organization by recognition of secondary structure packing interfaces.
    Deng L; Wu A; Dai W; Song T; Cui Y; Jiang T
    Bioinformatics; 2014 Sep; 30(17):2440-6. PubMed ID: 24813541
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of inter-residue contact clusters from hydrophobic cores.
    Chen P; Liu C; Burge L; Mahmood M; Southerland W; Gloster C
    Int J Data Min Bioinform; 2010; 4(6):722-34. PubMed ID: 21355503
    [TBL] [Abstract][Full Text] [Related]  

  • 13. OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method.
    Zhang L; Wang H; Yan L; Su L; Xu D
    J Comput Biol; 2017 Mar; 24(3):217-228. PubMed ID: 27513917
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep architectures for protein contact map prediction.
    Di Lena P; Nagata K; Baldi P
    Bioinformatics; 2012 Oct; 28(19):2449-57. PubMed ID: 22847931
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. DeepDist: real-value inter-residue distance prediction with deep residual convolutional network.
    Wu T; Guo Z; Hou J; Cheng J
    BMC Bioinformatics; 2021 Jan; 22(1):30. PubMed ID: 33494711
    [TBL] [Abstract][Full Text] [Related]  

  • 17. BetaDL: A protein beta-sheet predictor utilizing a deep learning model and independent set solution.
    Dehghani T; Naghibzadeh M; Eghdami M
    Comput Biol Med; 2019 Jan; 104():241-249. PubMed ID: 30530227
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DNCON2_Inter: predicting interchain contacts for homodimeric and homomultimeric protein complexes using multiple sequence alignments of monomers and deep learning.
    Quadir F; Roy RS; Halfmann R; Cheng J
    Sci Rep; 2021 Jun; 11(1):12295. PubMed ID: 34112907
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting residue-wise contact orders in proteins by support vector regression.
    Song J; Burrage K
    BMC Bioinformatics; 2006 Oct; 7():425. PubMed ID: 17014735
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.