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 *

147 related articles for article (PubMed ID: 37973874)

  • 21. Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions.
    Baranwal M; Magner A; Saldinger J; Turali-Emre ES; Elvati P; Kozarekar S; VanEpps JS; Kotov NA; Violi A; Hero AO
    BMC Bioinformatics; 2022 Sep; 23(1):370. PubMed ID: 36088285
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
    Zhang H; Zhang T; Chen K; Shen S; Ruan J; Kurgan L
    BMC Bioinformatics; 2008 Sep; 9():388. PubMed ID: 18803867
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Graph Spring Network and Informative Anchor Selection for session-based recommendation.
    Zhang Z; Wang B
    Neural Netw; 2023 Feb; 159():43-56. PubMed ID: 36527835
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Effective 3D protein structure prediction with local adjustment genetic-annealing algorithm.
    Zhang XL; Lin XL
    Interdiscip Sci; 2010 Sep; 2(3):256-62. PubMed ID: 20658338
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Entropy-Enthalpy Compensations Fold Proteins in Precise Ways.
    Li J; Hou C; Ma X; Guo S; Zhang H; Shi L; Liao C; Zheng B; Ye L; Yang L; He X
    Int J Mol Sci; 2021 Sep; 22(17):. PubMed ID: 34502559
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Sibe: a computation tool to apply protein sequence statistics to predict folding and design in silico.
    Cheung NJ; Yu W
    BMC Bioinformatics; 2019 Sep; 20(1):455. PubMed ID: 31492097
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A novel alignment-free method to classify protein folding types by combining spectral graph clustering with Chou's pseudo amino acid composition.
    Tripathi P; Pandey PN
    J Theor Biol; 2017 Jul; 424():49-54. PubMed ID: 28476562
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting DNA-binding sites of proteins from amino acid sequence.
    Yan C; Terribilini M; Wu F; Jernigan RL; Dobbs D; Honavar V
    BMC Bioinformatics; 2006 May; 7():262. PubMed ID: 16712732
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Optimally informative backbone structural propensities in proteins.
    Solis AD; Rackovsky S
    Proteins; 2002 Aug; 48(3):463-86. PubMed ID: 12112672
    [TBL] [Abstract][Full Text] [Related]  

  • 30. SelfAT-Fold: Protein Fold Recognition Based on Residue-Based and Motif-Based Self-Attention Networks.
    Pang Y; Liu B
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1861-1869. PubMed ID: 33090951
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Shannon entropy-based filter detects high- quality profile-profile alignments in searches for remote homologues.
    Capriotti E; Fariselli P; Rossi I; Casadio R
    Proteins; 2004 Feb; 54(2):351-60. PubMed ID: 14696197
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Folding rates and low-entropy-loss routes of two-state proteins.
    Weikl TR; Dill KA
    J Mol Biol; 2003 Jun; 329(3):585-98. PubMed ID: 12767836
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Computational Modeling of Proteins based on Cellular Automata: A Method of HP Folding Approximation.
    Madain A; Abu Dalhoum AL; Sleit A
    Protein J; 2018 Jun; 37(3):248-260. PubMed ID: 29802509
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Entropy capacity determines protein folding.
    Galzitskaya OV; Garbuzynskiy SO
    Proteins; 2006 Apr; 63(1):144-54. PubMed ID: 16400647
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Multiple contact network is a key determinant to protein folding rates.
    Gromiha MM
    J Chem Inf Model; 2009 Apr; 49(4):1130-5. PubMed ID: 19338373
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Protein structure prediction with local adjust tabu search algorithm.
    Lin X; Zhang X; Zhou F
    BMC Bioinformatics; 2014; 15 Suppl 15(Suppl 15):S1. PubMed ID: 25474708
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Optimal region of average side-chain entropy for fast protein folding.
    Galzitskaya OV; Surin AK; Nakamura H
    Protein Sci; 2000 Mar; 9(3):580-6. PubMed ID: 10752620
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Protein folding with implicit crowders: a study of conformational states using the Wang-Landau method.
    Hoppe T; Yuan JM
    J Phys Chem B; 2011 Mar; 115(9):2006-13. PubMed ID: 21319755
    [TBL] [Abstract][Full Text] [Related]  

  • 39. An efficient strategy for identifying cancer-related key genes based on graph entropy.
    Zhang W; Wang SL
    Comput Biol Chem; 2018 Jun; 74():142-148. PubMed ID: 29609142
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Protein Structure Prediction Using Population-Based Algorithm Guided by Information Entropy.
    Zhang GJ; Xie TY; Zhou XG; Wang LJ; Hu J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):697-707. PubMed ID: 31180869
    [TBL] [Abstract][Full Text] [Related]  

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