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 *

143 related articles for article (PubMed ID: 32985584)

  • 1. Predicting binding sites from unbound versus bound protein structures.
    Clark JJ; Orban ZJ; Carlson HA
    Sci Rep; 2020 Sep; 10(1):15856. PubMed ID: 32985584
    [TBL] [Abstract][Full Text] [Related]  

  • 2. LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation.
    Huang B; Schroeder M
    BMC Struct Biol; 2006 Sep; 6():19. PubMed ID: 16995956
    [TBL] [Abstract][Full Text] [Related]  

  • 3. AHoJ-DB: A PDB-wide Assignment of apo & holo Relationships Based on Individual Protein-Ligand Interactions.
    Feidakis CP; Krivak R; Hoksza D; Novotny M
    J Mol Biol; 2024 Sep; 436(17):168545. PubMed ID: 38508305
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction.
    Zhang Z; Li Y; Lin B; Schroeder M; Huang B
    Bioinformatics; 2011 Aug; 27(15):2083-8. PubMed ID: 21636590
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MetaPocket: a meta approach to improve protein ligand binding site prediction.
    Huang B
    OMICS; 2009 Aug; 13(4):325-30. PubMed ID: 19645590
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Highly accurate method for ligand-binding site prediction in unbound state (apo) protein structures.
    Morita M; Nakamura S; Shimizu K
    Proteins; 2008 Nov; 73(2):468-79. PubMed ID: 18452211
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ProMate: a structure based prediction program to identify the location of protein-protein binding sites.
    Neuvirth H; Raz R; Schreiber G
    J Mol Biol; 2004 Apr; 338(1):181-99. PubMed ID: 15050833
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improved prediction of protein ligand-binding sites using random forests.
    Qiu Z; Wang X
    Protein Pept Lett; 2011 Dec; 18(12):1212-8. PubMed ID: 21707519
    [TBL] [Abstract][Full Text] [Related]  

  • 9. FunFOLDQA: a quality assessment tool for protein-ligand binding site residue predictions.
    Roche DB; Buenavista MT; McGuffin LJ
    PLoS One; 2012; 7(5):e38219. PubMed ID: 22666491
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Large-scale comparison of four binding site detection algorithms.
    Schmidtke P; Souaille C; Estienne F; Baurin N; Kroemer RT
    J Chem Inf Model; 2010 Dec; 50(12):2191-200. PubMed ID: 20828173
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Structure-Based Analysis of Cryptic-Site Opening.
    Sun Z; Wakefield AE; Kolossvary I; Beglov D; Vajda S
    Structure; 2020 Feb; 28(2):223-235.e2. PubMed ID: 31810712
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development of a protein-ligand-binding site prediction method based on interaction energy and sequence conservation.
    Tsujikawa H; Sato K; Wei C; Saad G; Sumikoshi K; Nakamura S; Terada T; Shimizu K
    J Struct Funct Genomics; 2016 Sep; 17(2-3):39-49. PubMed ID: 27400687
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting small ligand binding sites in proteins using backbone structure.
    Bordner AJ
    Bioinformatics; 2008 Dec; 24(24):2865-71. PubMed ID: 18940825
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exploring the structural origins of cryptic sites on proteins.
    Beglov D; Hall DR; Wakefield AE; Luo L; Allen KN; Kozakov D; Whitty A; Vajda S
    Proc Natl Acad Sci U S A; 2018 Apr; 115(15):E3416-E3425. PubMed ID: 29581267
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Flexibility of metal binding sites in proteins on a database scale.
    Babor M; Greenblatt HM; Edelman M; Sobolev V
    Proteins; 2005 May; 59(2):221-30. PubMed ID: 15726624
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploring the composition of protein-ligand binding sites on a large scale.
    Khazanov NA; Carlson HA
    PLoS Comput Biol; 2013; 9(11):e1003321. PubMed ID: 24277997
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CryptoSite: Expanding the Druggable Proteome by Characterization and Prediction of Cryptic Binding Sites.
    Cimermancic P; Weinkam P; Rettenmaier TJ; Bichmann L; Keedy DA; Woldeyes RA; Schneidman-Duhovny D; Demerdash ON; Mitchell JC; Wells JA; Fraser JS; Sali A
    J Mol Biol; 2016 Feb; 428(4):709-719. PubMed ID: 26854760
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.