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 *

519 related articles for article (PubMed ID: 8710832)

  • 1. Fold recognition and ab initio structure predictions using hidden Markov models and beta-strand pair potentials.
    Hubbard TJ; Park J
    Proteins; 1995 Nov; 23(3):398-402. PubMed ID: 8710832
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein topology recognition from secondary structure sequences: application of the hidden Markov models to the alpha class proteins.
    Di Francesco V; Garnier J; Munson PJ
    J Mol Biol; 1997 Mar; 267(2):446-63. PubMed ID: 9096237
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Protein structure prediction by threading methods: evaluation of current techniques.
    Lemer CM; Rooman MJ; Wodak SJ
    Proteins; 1995 Nov; 23(3):337-55. PubMed ID: 8710827
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Protein structure prediction of CASP5 comparative modeling and fold recognition targets using consensus alignment approach and 3D assessment.
    Ginalski K; Rychlewski L
    Proteins; 2003; 53 Suppl 6():410-7. PubMed ID: 14579329
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fold recognition and accurate sequence-structure alignment of sequences directing beta-sheet proteins.
    McDonnell AV; Menke M; Palmer N; King J; Cowen L; Berger B
    Proteins; 2006 Jun; 63(4):976-85. PubMed ID: 16547930
    [TBL] [Abstract][Full Text] [Related]  

  • 6. HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins.
    Bystroff C; Thorsson V; Baker D
    J Mol Biol; 2000 Aug; 301(1):173-90. PubMed ID: 10926500
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hidden Markov models that use predicted secondary structures for fold recognition.
    Hargbo J; Elofsson A
    Proteins; 1999 Jul; 36(1):68-76. PubMed ID: 10373007
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A 3D-1D substitution matrix for protein fold recognition that includes predicted secondary structure of the sequence.
    Rice DW; Eisenberg D
    J Mol Biol; 1997 Apr; 267(4):1026-38. PubMed ID: 9135128
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sequence-based protein structure prediction using a reduced state-space hidden Markov model.
    Lampros C; Costas Papaloukas ; Exarchos TP; Yorgos Goletsis ; Fotiadis DI
    Comput Biol Med; 2007 Sep; 37(9):1211-24. PubMed ID: 17161834
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of current techniques for ab initio protein structure prediction.
    Defay T; Cohen FE
    Proteins; 1995 Nov; 23(3):431-45. PubMed ID: 8710836
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ab initio prediction of the three-dimensional structure of a de novo designed protein: a double-blind case study.
    Klepeis JL; Wei Y; Hecht MH; Floudas CA
    Proteins; 2005 Feb; 58(3):560-70. PubMed ID: 15609306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combining local-structure, fold-recognition, and new fold methods for protein structure prediction.
    Karplus K; Karchin R; Draper J; Casper J; Mandel-Gutfreund Y; Diekhans M; Hughey R
    Proteins; 2003; 53 Suppl 6():491-6. PubMed ID: 14579338
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein fold recognition by prediction-based threading.
    Rost B; Schneider R; Sander C
    J Mol Biol; 1997 Jul; 270(3):471-80. PubMed ID: 9237912
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Progress in fold recognition.
    Flöckner H; Braxenthaler M; Lackner P; Jaritz M; Ortner M; Sippl MJ
    Proteins; 1995 Nov; 23(3):376-86. PubMed ID: 8710830
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A "FRankenstein's monster" approach to comparative modeling: merging the finest fragments of Fold-Recognition models and iterative model refinement aided by 3D structure evaluation.
    Kosinski J; Cymerman IA; Feder M; Kurowski MA; Sasin JM; Bujnicki JM
    Proteins; 2003; 53 Suppl 6():369-79. PubMed ID: 14579325
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A 9-state hidden Markov model using protein secondary structure information for protein fold recognition.
    Lee SY; Lee JY; Jung KS; Ryu KH
    Comput Biol Med; 2009 Jun; 39(6):527-34. PubMed ID: 19394594
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting interresidue contacts using templates and pathways.
    Shao Y; Bystroff C
    Proteins; 2003; 53 Suppl 6():497-502. PubMed ID: 14579339
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Benchmarking of TASSER in the ab initio limit.
    Borreguero JM; Skolnick J
    Proteins; 2007 Jul; 68(1):48-56. PubMed ID: 17444524
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Structure prediction and fold recognition for the ferrochelatase family of proteins.
    Hansson M; Gough SP; Brody SS
    Proteins; 1997 Apr; 27(4):517-22. PubMed ID: 9141132
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Protein fold recognition by mapping predicted secondary structures.
    Russell RB; Copley RR; Barton GJ
    J Mol Biol; 1996 Jun; 259(3):349-65. PubMed ID: 8676374
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.