BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

240 related articles for article (PubMed ID: 22459701)

  • 1. Predict mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition.
    Fan GL; Li QZ
    J Theor Biol; 2012 Jul; 304():88-95. PubMed ID: 22459701
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting protein submitochondria locations by combining different descriptors into the general form of Chou's pseudo amino acid composition.
    Fan GL; Li QZ
    Amino Acids; 2012 Aug; 43(2):545-55. PubMed ID: 22102053
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition.
    Zhu PP; Li WC; Zhong ZJ; Deng EZ; Ding H; Chen W; Lin H
    Mol Biosyst; 2015 Feb; 11(2):558-63. PubMed ID: 25437899
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using the concept of Chou's pseudo amino acid composition to predict protein subcellular localization: an approach by incorporating evolutionary information and von Neumann entropies.
    Zhang SW; Zhang YL; Yang HF; Zhao CH; Pan Q
    Amino Acids; 2008 May; 34(4):565-72. PubMed ID: 18074191
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition.
    Lin H; Ding H; Guo FB; Zhang AY; Huang J
    Protein Pept Lett; 2008; 15(7):739-44. PubMed ID: 18782071
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of subcellular localization of apoptosis protein using Chou's pseudo amino acid composition.
    Lin H; Wang H; Ding H; Chen YL; Li QZ
    Acta Biotheor; 2009 Sep; 57(3):321-30. PubMed ID: 19169652
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach.
    Zeng YH; Guo YZ; Xiao RQ; Yang L; Yu LZ; Li ML
    J Theor Biol; 2009 Jul; 259(2):366-72. PubMed ID: 19341746
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC.
    Han GS; Yu ZG; Anh V
    J Theor Biol; 2014 Mar; 344():31-9. PubMed ID: 24316387
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition.
    Khan A; Majid A; Hayat M
    Comput Biol Chem; 2011 Aug; 35(4):218-29. PubMed ID: 21864791
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou's pseudo amino acid composition.
    Fan GL; Li QZ
    J Theor Biol; 2013 Oct; 334():45-51. PubMed ID: 23770403
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition.
    Chen YL; Li QZ
    J Theor Biol; 2007 Sep; 248(2):377-81. PubMed ID: 17572445
    [TBL] [Abstract][Full Text] [Related]  

  • 12. GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition.
    Wan S; Mak MW; Kung SY
    J Theor Biol; 2013 Apr; 323():40-8. PubMed ID: 23376577
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition.
    Shi JY; Zhang SW; Pan Q; Cheng YM; Xie J
    Amino Acids; 2007 Jul; 33(1):69-74. PubMed ID: 17235454
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of protein structural classes by Chou's pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis.
    Li ZC; Zhou XB; Dai Z; Zou XY
    Amino Acids; 2009 Jul; 37(2):415-25. PubMed ID: 18726140
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition.
    Yu L; Guo Y; Li Y; Li G; Li M; Luo J; Xiong W; Qin W
    J Theor Biol; 2010 Nov; 267(1):1-6. PubMed ID: 20691704
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution.
    Shi JY; Zhang SW; Pan Q; Zhou GP
    Amino Acids; 2008 Aug; 35(2):321-7. PubMed ID: 18209947
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using pseudo amino acid composition and binary-tree support vector machines to predict protein structural classes.
    Zhang TL; Ding YS
    Amino Acids; 2007 Nov; 33(4):623-9. PubMed ID: 17308864
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization.
    Nanni L; Lumini A
    Amino Acids; 2008 May; 34(4):653-60. PubMed ID: 18175047
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition.
    Lin H
    J Theor Biol; 2008 May; 252(2):350-6. PubMed ID: 18355838
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes.
    Zhou XB; Chen C; Li ZC; Zou XY
    J Theor Biol; 2007 Oct; 248(3):546-51. PubMed ID: 17628605
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.