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 *

202 related articles for article (PubMed ID: 20021687)

  • 1. Identification of ATP binding residues of a protein from its primary sequence.
    Chauhan JS; Mishra NK; Raghava GP
    BMC Bioinformatics; 2009 Dec; 10():434. PubMed ID: 20021687
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of NAD interacting residues in proteins.
    Ansari HR; Raghava GP
    BMC Bioinformatics; 2010 Mar; 11():160. PubMed ID: 20353553
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information.
    Chauhan JS; Mishra NK; Raghava GP
    BMC Bioinformatics; 2010 Jun; 11():301. PubMed ID: 20525281
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of mannose interacting residues using local composition.
    Agarwal S; Mishra NK; Singh H; Raghava GP
    PLoS One; 2011; 6(9):e24039. PubMed ID: 21931639
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information.
    Panwar B; Gupta S; Raghava GP
    BMC Bioinformatics; 2013 Feb; 14():44. PubMed ID: 23387468
    [TBL] [Abstract][Full Text] [Related]  

  • 6. SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.
    Kumar M; Gromiha MM; Raghava GP
    J Mol Recognit; 2011; 24(2):303-13. PubMed ID: 20677174
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information.
    Mishra NK; Raghava GP
    BMC Bioinformatics; 2010 Jan; 11 Suppl 1(Suppl 1):S48. PubMed ID: 20122222
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis and prediction of cancerlectins using evolutionary and domain information.
    Kumar R; Panwar B; Chauhan JS; Raghava GP
    BMC Res Notes; 2011 Jul; 4():237. PubMed ID: 21774797
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs.
    Rashid M; Saha S; Raghava GP
    BMC Bioinformatics; 2007 Sep; 8():337. PubMed ID: 17854501
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A web server for analysis, comparison and prediction of protein ligand binding sites.
    Singh H; Srivastava HK; Raghava GP
    Biol Direct; 2016 Mar; 11(1):14. PubMed ID: 27016210
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Survey for Predicting ATP Binding Residues of Proteins Using Machine Learning Methods.
    Yang YH; Wang JS; Yuan SS; Liu ML; Su W; Lin H; Zhang ZY
    Curr Med Chem; 2022; 29(5):789-806. PubMed ID: 34514982
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of RNA binding sites in a protein using SVM and PSSM profile.
    Kumar M; Gromiha MM; Raghava GP
    Proteins; 2008 Apr; 71(1):189-94. PubMed ID: 17932917
    [TBL] [Abstract][Full Text] [Related]  

  • 13. BTXpred: prediction of bacterial toxins.
    Saha S; Raghava GP
    In Silico Biol; 2007; 7(4-5):405-12. PubMed ID: 18391233
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A neural network method for prediction of beta-turn types in proteins using evolutionary information.
    Kaur H; Raghava GP
    Bioinformatics; 2004 Nov; 20(16):2751-8. PubMed ID: 15145798
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation.
    Xu R; Zhou J; Wang H; He Y; Wang X; Liu B
    BMC Syst Biol; 2015; 9 Suppl 1(Suppl 1):S10. PubMed ID: 25708928
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accurate prediction of protein-ATP binding residues using position-specific frequency matrix.
    Hu J; Zheng LL; Bai YS; Zhang KW; Yu DJ; Zhang GJ
    Anal Biochem; 2021 Aug; 626():114241. PubMed ID: 33971164
    [TBL] [Abstract][Full Text] [Related]  

  • 17. NAGbinder: An approach for identifying N-acetylglucosamine interacting residues of a protein from its primary sequence.
    Patiyal S; Agrawal P; Kumar V; Dhall A; Kumar R; Mishra G; Raghava GPS
    Protein Sci; 2020 Jan; 29(1):201-210. PubMed ID: 31654438
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A; Raghava GP
    In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of DNA-binding proteins using support vector machines and evolutionary profiles.
    Kumar M; Gromiha MM; Raghava GP
    BMC Bioinformatics; 2007 Nov; 8():463. PubMed ID: 18042272
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein.
    Raghava GP; Han JH
    BMC Bioinformatics; 2005 Mar; 6():59. PubMed ID: 15773999
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.