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 *

199 related articles for article (PubMed ID: 33142754)

  • 1. Prediction of Protein-ligand Interaction Based on Sequence Similarity and Ligand Structural Features.
    Karasev D; Sobolev B; Lagunin A; Filimonov D; Poroikov V
    Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33142754
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Protein-Ligand Interaction Based on the Positional Similarity Scores Derived from Amino Acid Sequences.
    Karasev D; Sobolev B; Lagunin A; Filimonov D; Poroikov V
    Int J Mol Sci; 2019 Dec; 21(1):. PubMed ID: 31861473
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generalized modeling of enzyme-ligand interactions using proteochemometrics and local protein substructures.
    Strömbergsson H; Kryshtafovych A; Prusis P; Fidelis K; Wikberg JE; Komorowski J; Hvidsten TR
    Proteins; 2006 Nov; 65(3):568-79. PubMed ID: 16948162
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The method predicting interaction between protein targets and small-molecular ligands with the wide applicability domain.
    Karasev DA; Sobolev BN; Lagunin AA; Filimonov DA; Poroikov VV
    Comput Biol Chem; 2022 Jun; 98():107674. PubMed ID: 35430543
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction.
    Hoffmann B; Zaslavskiy M; Vert JP; Stoven V
    BMC Bioinformatics; 2010 Feb; 11():99. PubMed ID: 20175916
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting target-ligand interactions using protein ligand-binding site and ligand substructures.
    Wang C; Liu J; Luo F; Deng Z; Hu QN
    BMC Syst Biol; 2015; 9 Suppl 1(Suppl 1):S2. PubMed ID: 25707321
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of amino acid positions specific for functional groups in a protein family based on local sequence similarity.
    Karasev DA; Veselovsky AV; Oparina NY; Filimonov DA; Sobolev BN
    J Mol Recognit; 2016 Apr; 29(4):159-69. PubMed ID: 26549790
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting ligand binding residues and functional sites using multipositional correlations with graph theoretic clustering and kernel CCA.
    González AJ; Liao L; Wu CH
    IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(4):992-1001. PubMed ID: 22025754
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PLIC: protein-ligand interaction clusters.
    Anand P; Nagarajan D; Mukherjee S; Chandra N
    Database (Oxford); 2014; 2014(0):bau029. PubMed ID: 24763918
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FINDSITE: a threading-based approach to ligand homology modeling.
    Brylinski M; Skolnick J
    PLoS Comput Biol; 2009 Jun; 5(6):e1000405. PubMed ID: 19503616
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting protein-ligand binding site using support vector machine with protein properties.
    Wong GY; Leung FH; Ling SH
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(6):1517-29. PubMed ID: 24407309
    [TBL] [Abstract][Full Text] [Related]  

  • 12. PatchSurfers: Two methods for local molecular property-based binding ligand prediction.
    Shin WH; Bures MG; Kihara D
    Methods; 2016 Jan; 93():41-50. PubMed ID: 26427548
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Coupling Protein Side-Chain and Backbone Flexibility Improves the Re-design of Protein-Ligand Specificity.
    Ollikainen N; de Jong RM; Kortemme T
    PLoS Comput Biol; 2015; 11(9):e1004335. PubMed ID: 26397464
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting protein interaction sites: binding hot-spots in protein-protein and protein-ligand interfaces.
    Burgoyne NJ; Jackson RM
    Bioinformatics; 2006 Jun; 22(11):1335-42. PubMed ID: 16522669
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting Atoms.
    Jian JW; Elumalai P; Pitti T; Wu CY; Tsai KC; Chang JY; Peng HP; Yang AS
    PLoS One; 2016; 11(8):e0160315. PubMed ID: 27513851
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Protein-binding site prediction based on three-dimensional protein modeling.
    Oh M; Joo K; Lee J
    Proteins; 2009; 77 Suppl 9():152-6. PubMed ID: 19768678
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rough set-based proteochemometrics modeling of G-protein-coupled receptor-ligand interactions.
    Strömbergsson H; Prusis P; Midelfart H; Lapinsh M; Wikberg JE; Komorowski J
    Proteins; 2006 Apr; 63(1):24-34. PubMed ID: 16435365
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation.
    Brylinski M; Skolnick J
    Proc Natl Acad Sci U S A; 2008 Jan; 105(1):129-34. PubMed ID: 18165317
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Ligand binding site similarity identification based on chemical and geometric similarity.
    Tu H; Shi T
    Protein J; 2013 Jun; 32(5):373-85. PubMed ID: 23700221
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Similarity metrics for ligands reflecting the similarity of the target proteins.
    Schuffenhauer A; Floersheim P; Acklin P; Jacoby E
    J Chem Inf Comput Sci; 2003; 43(2):391-405. PubMed ID: 12653501
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.