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 *

146 related articles for article (PubMed ID: 10336377)

  • 21. Distinct stages of protein evolution as suggested by protein sequence analysis.
    Trifonov EN; Kirzhner A; Kirzhner VM; Berezovsky IN
    J Mol Evol; 2001; 53(4-5):394-401. PubMed ID: 11675599
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Distance-dependent classification of amino acids by information theory.
    Pape S; Hoffgaard F; Hamacher K
    Proteins; 2010 Aug; 78(10):2322-8. PubMed ID: 20544967
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Design of amino acid sequences to fold into C(alpha)-model proteins.
    Amatori A; Tiana G; Sutto L; Ferkinghoff-Borg J; Trovato A; Broglia RA
    J Chem Phys; 2005 Aug; 123(5):054904. PubMed ID: 16108690
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Reduced alphabet for protein folding prediction.
    Huang JT; Wang T; Huang SR; Li X
    Proteins; 2015 Apr; 83(4):631-9. PubMed ID: 25641420
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A computational approach to simplifying the protein folding alphabet.
    Wang J; Wang W
    Nat Struct Biol; 1999 Nov; 6(11):1033-8. PubMed ID: 10542095
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Statistical theory for protein ensembles with designed energy landscapes.
    Biswas P; Zou J; Saven JG
    J Chem Phys; 2005 Oct; 123(15):154908. PubMed ID: 16252973
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Another look at the conditions for the extraction of protein knowledge-based potentials.
    Betancourt MR
    Proteins; 2009 Jul; 76(1):72-85. PubMed ID: 19089977
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Hiking in the energy landscape in sequence space: a bumpy road to good folders.
    Tiana G; Broglia RA; Shakhnovich EI
    Proteins; 2000 May; 39(3):244-51. PubMed ID: 10737946
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Neutral networks in protein space: a computational study based on knowledge-based potentials of mean force.
    Babajide A; Hofacker IL; Sippl MJ; Stadler PF
    Fold Des; 1997; 2(5):261-9. PubMed ID: 9261065
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Relationship between energy distribution and fold stability: Insights from molecular dynamics simulations of native and mutant proteins.
    Morra G; Colombo G
    Proteins; 2008 Aug; 72(2):660-72. PubMed ID: 18247351
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Physical origins of protein superfamilies.
    Zeldovich KB; Berezovsky IN; Shakhnovich EI
    J Mol Biol; 2006 Apr; 357(4):1335-43. PubMed ID: 16483605
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Geometric and statistical properties of the mean-field hydrophobic-polar model, the large-small model, and real protein sequences.
    Shih CT; Su ZY; Gwan JF; Hao BL; Hsieh CH; Lo JL; Lee HC
    Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Apr; 65(4 Pt 1):041923. PubMed ID: 12005889
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Structural determinants of the rate of protein evolution in yeast.
    Bloom JD; Drummond DA; Arnold FH; Wilke CO
    Mol Biol Evol; 2006 Sep; 23(9):1751-61. PubMed ID: 16782762
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of site-specific amino acid distributions and limits of divergent evolutionary changes in protein sequences.
    Porto M; Roman HE; Vendruscolo M; Bastolla U
    Mol Biol Evol; 2005 Mar; 22(3):630-8. PubMed ID: 15537801
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Designable structures are easy to unfold.
    Dias CL; Grant M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 1):042902. PubMed ID: 17155116
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Exploration of the relationship between topology and designability of conformations.
    Leelananda SP; Towfic F; Jernigan RL; Kloczkowski A
    J Chem Phys; 2011 Jun; 134(23):235101. PubMed ID: 21702580
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A statistical model for predicting protein folding rates from amino acid sequence with structural class information.
    Gromiha MM
    J Chem Inf Model; 2005; 45(2):494-501. PubMed ID: 15807515
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Reduced amino acid alphabets exhibit an improved sensitivity and selectivity in fold assignment.
    Peterson EL; Kondev J; Theriot JA; Phillips R
    Bioinformatics; 2009 Jun; 25(11):1356-62. PubMed ID: 19351620
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Hidden Markov models that use predicted local structure for fold recognition: alphabets of backbone geometry.
    Karchin R; Cline M; Mandel-Gutfreund Y; Karplus K
    Proteins; 2003 Jun; 51(4):504-14. PubMed ID: 12784210
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Local interactions in protein folding determined through an inverse folding model.
    Bastolla U; Porto M; Ortíz AR
    Proteins; 2008 Apr; 71(1):278-99. PubMed ID: 17932940
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.