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 *

117 related articles for article (PubMed ID: 9008295)

  • 1. A vector projection method for predicting supersecondary motifs.
    Sun ZR; Zhang CT; Wu FH; Peng LW
    J Protein Chem; 1996 Nov; 15(8):721-9. PubMed ID: 9008295
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Patterns and conformations of commonly occurring supersecondary structures (basic motifs) in protein data bank.
    Sun Z; Jiang B
    J Protein Chem; 1996 Oct; 15(7):675-90. PubMed ID: 8968959
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of protein supersecondary structures based on the artificial neural network method.
    Sun Z; Rao X; Peng L; Xu D
    Protein Eng; 1997 Jul; 10(7):763-9. PubMed ID: 9342142
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Supersecondary structure prediction using Chou's pseudo amino acid composition.
    Zou D; He Z; He J; Xia Y
    J Comput Chem; 2011 Jan; 32(2):271-8. PubMed ID: 20652881
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Creating supersecondary structures with BuildBeta.
    Crivelli S; Max N
    Methods Mol Biol; 2013; 932():115-40. PubMed ID: 22987350
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer simulations aimed at structure prediction of supersecondary motifs in proteins.
    Forcellino F; Derreumaux P
    Proteins; 2001 Nov; 45(2):159-66. PubMed ID: 11562945
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fuzzy cluster analysis of simple physicochemical properties of amino acids for recognizing secondary structure in proteins.
    Mocz G
    Protein Sci; 1995 Jun; 4(6):1178-87. PubMed ID: 7549882
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Molecular dynamics simulation of protein folding with supersecondary structure constraints.
    Sun ZR; Cui Y; Ling LJ; Guo Q; Chen RS
    J Protein Chem; 1998 Nov; 17(8):765-9. PubMed ID: 9988523
    [TBL] [Abstract][Full Text] [Related]  

  • 9. NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins.
    Borguesan B; Inostroza-Ponta M; Dorn M
    J Comput Biol; 2017 Mar; 24(3):255-265. PubMed ID: 27494258
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Secondary and Supersecondary Structure of Proteins in Light of the Structure of Hydrophobic Cores.
    Banach M; Konieczny L; Roterman I
    Methods Mol Biol; 2019; 1958():347-378. PubMed ID: 30945229
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Homology Searches Using Supersecondary Structure Code.
    Izumi H
    Methods Mol Biol; 2019; 1958():329-340. PubMed ID: 30945227
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of alpha-helices in proteins based on thermodynamic parameters from solution chemistry.
    Qian H
    J Mol Biol; 1996 Mar; 256(4):663-6. PubMed ID: 8642588
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein Folding Prediction in a Cubic Lattice in Hydrophobic-Polar Model.
    Yanev N; Traykov M; Milanov P; Yurukov B
    J Comput Biol; 2017 May; 24(5):412-421. PubMed ID: 27901606
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evolved cellular automata for protein secondary structure prediction imitate the determinants for folding observed in nature.
    Chopra P; Bender A
    In Silico Biol; 2007; 7(1):87-93. PubMed ID: 17688429
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computational prediction of secondary and supersecondary structures.
    Chen K; Kurgan L
    Methods Mol Biol; 2013; 932():63-86. PubMed ID: 22987347
    [TBL] [Abstract][Full Text] [Related]  

  • 16. FragQA: predicting local fragment quality of a sequence-structure alignment.
    Gao X; Bu D; Li SC; Xu J; Li M
    Genome Inform; 2007; 19():27-39. PubMed ID: 18546502
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A survey of machine learning methods for secondary and supersecondary protein structure prediction.
    Ho HK; Zhang L; Ramamohanarao K; Martin S
    Methods Mol Biol; 2013; 932():87-106. PubMed ID: 22987348
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of protein secondary structure content.
    Liu W; Chou KC
    Protein Eng; 1999 Dec; 12(12):1041-50. PubMed ID: 10611397
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computational simulations of protein folding to engineer amino acid sequences to encourage desired supersecondary structure formation.
    Gerstman BS; Chapagain PP
    Methods Mol Biol; 2013; 932():191-204. PubMed ID: 22987354
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Building proteins from C alpha coordinates using the dihedral probability grid Monte Carlo method.
    Mathiowetz AM; Goddard WA
    Protein Sci; 1995 Jun; 4(6):1217-32. PubMed ID: 7549885
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.