BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 32185690)

  • 1. A Novel Index of Contact Frequency from Noise Protein-Protein Interaction Data Help for Accurate Interface Residue Pair Prediction.
    Lyu Y; Huang H; Gong X
    Interdiscip Sci; 2020 Jun; 12(2):204-216. PubMed ID: 32185690
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein-Protein Interaction Interface Residue Pair Prediction Based on Deep Learning Architecture.
    Zhao Z; Gong X
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(5):1753-1759. PubMed ID: 28541224
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance of ZDOCK and ZRANK in CAPRI rounds 13-19.
    Hwang H; Vreven T; Pierce BG; Hung JH; Weng Z
    Proteins; 2010 Nov; 78(15):3104-10. PubMed ID: 20936681
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A critical assessment of information-guided protein-protein docking predictions.
    Shih ES; Hwang MJ
    Mol Cell Proteomics; 2013 Mar; 12(3):679-86. PubMed ID: 23242549
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Consensus scoring for enriching near-native structures from protein-protein docking decoys.
    Liang S; Meroueh SO; Wang G; Qiu C; Zhou Y
    Proteins; 2009 May; 75(2):397-403. PubMed ID: 18831053
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The CASP13-CAPRI targets as case studies to illustrate a novel scoring pipeline integrating CONSRANK with clustering and interface analyses.
    Barradas-Bautista D; Cao Z; Cavallo L; Oliva R
    BMC Bioinformatics; 2020 Sep; 21(Suppl 8):262. PubMed ID: 32938371
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction.
    Liu J; Gong X
    BMC Bioinformatics; 2019 Nov; 20(1):609. PubMed ID: 31775612
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Tetramer protein complex interface residue pairs prediction with LSTM combined with graph representations.
    Sun D; Gong X
    Biochim Biophys Acta Proteins Proteom; 2020 Nov; 1868(11):140504. PubMed ID: 32717382
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Protein-protein interaction specificity is captured by contact preferences and interface composition.
    Nadalin F; Carbone A
    Bioinformatics; 2018 Feb; 34(3):459-468. PubMed ID: 29028884
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using correlated parameters for improved ranking of protein-protein docking decoys.
    Mitra P; Pal D
    J Comput Chem; 2011 Apr; 32(5):787-96. PubMed ID: 20941737
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ranking multiple docking solutions based on the conservation of inter-residue contacts.
    Oliva R; Vangone A; Cavallo L
    Proteins; 2013 Sep; 81(9):1571-84. PubMed ID: 23609916
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving protein-protein interaction prediction using evolutionary information from low-quality MSAs.
    VĂ¡rnai C; Burkoff NS; Wild DL
    PLoS One; 2017; 12(2):e0169356. PubMed ID: 28166227
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel index of protein-protein interface propensity improves interface residue recognition.
    Dai W; Wu A; Ma L; Li YX; Jiang T; Li YY
    BMC Syst Biol; 2016 Dec; 10(Suppl 4):112. PubMed ID: 28155660
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An interpretable machine learning method for homo-trimeric protein interface residue-residue interaction prediction.
    Hong Z; Liu J; Chen Y
    Biophys Chem; 2021 Nov; 278():106666. PubMed ID: 34418678
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CyClus: a fast, comprehensive cylindrical interface approximation clustering/reranking method for rigid-body protein-protein docking decoys.
    Omori S; Kitao A
    Proteins; 2013 Jun; 81(6):1005-16. PubMed ID: 23344972
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Scoring protein interaction decoys using exposed residues (SPIDER): a novel multibody interaction scoring function based on frequent geometric patterns of interfacial residues.
    Khashan R; Zheng W; Tropsha A
    Proteins; 2012 Aug; 80(9):2207-17. PubMed ID: 22581643
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of protein-protein interaction sites using patch-based residue characterization.
    Qiu Z; Wang X
    J Theor Biol; 2012 Jan; 293():143-50. PubMed ID: 22037062
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 110():97-105. PubMed ID: 27282356
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Co-Occurring Atomic Contacts for the Characterization of Protein Binding Hot Spots.
    Liu Q; Ren J; Song J; Li J
    PLoS One; 2015; 10(12):e0144486. PubMed ID: 26675422
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.
    Zhang C; Liu S; Zhou H; Zhou Y
    Protein Sci; 2004 Feb; 13(2):400-11. PubMed ID: 14739325
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.