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 *

175 related articles for article (PubMed ID: 36807079)

  • 1. The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors.
    Varadi M; Bordin N; Orengo C; Velankar S
    Curr Opin Struct Biol; 2023 Apr; 79():102543. PubMed ID: 36807079
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein Structure Prediction: Conventional and Deep Learning Perspectives.
    Jisna VA; Jayaraj PB
    Protein J; 2021 Aug; 40(4):522-544. PubMed ID: 34050498
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Recent Applications of Deep Learning Methods on Evolution- and Contact-Based Protein Structure Prediction.
    Suh D; Lee JW; Choi S; Lee Y
    Int J Mol Sci; 2021 Jun; 22(11):. PubMed ID: 34199677
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving protein structure prediction with extended sequence similarity searches and deep-learning-based refinement in CASP15.
    Oda T
    Proteins; 2023 Dec; 91(12):1712-1723. PubMed ID: 37485822
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DeepSol: a deep learning framework for sequence-based protein solubility prediction.
    Khurana S; Rawi R; Kunji K; Chuang GY; Bensmail H; Mall R
    Bioinformatics; 2018 Aug; 34(15):2605-2613. PubMed ID: 29554211
    [TBL] [Abstract][Full Text] [Related]  

  • 6. rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments.
    Mirabello C; Wallner B
    PLoS One; 2019; 14(8):e0220182. PubMed ID: 31415569
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computational Methods and Deep Learning for Elucidating Protein Interaction Networks.
    Vora DS; Kalakoti Y; Sundar D
    Methods Mol Biol; 2023; 2553():285-323. PubMed ID: 36227550
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction.
    Dhanuka R; Singh JP; Tripathi A
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):2291-2301. PubMed ID: 37027658
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Protein structure-based evaluation of missense variants: Resources, challenges and future directions.
    David A; Sternberg MJE
    Curr Opin Struct Biol; 2023 Jun; 80():102600. PubMed ID: 37126977
    [TBL] [Abstract][Full Text] [Related]  

  • 10. EvoRator2: Predicting Site-specific Amino Acid Substitutions Based on Protein Structural Information Using Deep Learning.
    Nagar N; Tubiana J; Loewenthal G; Wolfson HJ; Ben Tal N; Pupko T
    J Mol Biol; 2023 Jul; 435(14):168155. PubMed ID: 37356902
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DESTINI: A deep-learning approach to contact-driven protein structure prediction.
    Gao M; Zhou H; Skolnick J
    Sci Rep; 2019 Mar; 9(1):3514. PubMed ID: 30837676
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Overview of AlphaFold2 and breakthroughs in overcoming its limitations.
    Wang L; Wen Z; Liu SW; Zhang L; Finley C; Lee HJ; Fan HS
    Comput Biol Med; 2024 Jun; 176():108620. PubMed ID: 38761500
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
    Laine E; Eismann S; Elofsson A; Grudinin S
    Proteins; 2021 Dec; 89(12):1770-1786. PubMed ID: 34519095
    [TBL] [Abstract][Full Text] [Related]  

  • 14. NetSurfP-2.0: Improved prediction of protein structural features by integrated deep learning.
    Klausen MS; Jespersen MC; Nielsen H; Jensen KK; Jurtz VI; Sønderby CK; Sommer MOA; Winther O; Nielsen M; Petersen B; Marcatili P
    Proteins; 2019 Jun; 87(6):520-527. PubMed ID: 30785653
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning.
    Kaleel M; Torrisi M; Mooney C; Pollastri G
    Amino Acids; 2019 Sep; 51(9):1289-1296. PubMed ID: 31388850
    [TBL] [Abstract][Full Text] [Related]  

  • 16. BetaDL: A protein beta-sheet predictor utilizing a deep learning model and independent set solution.
    Dehghani T; Naghibzadeh M; Eghdami M
    Comput Biol Med; 2019 Jan; 104():241-249. PubMed ID: 30530227
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Toolbox for Protein Structure Prediction.
    Roche DB; McGuffin LJ
    Methods Mol Biol; 2016; 1369():363-77. PubMed ID: 26519323
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrative modeling meets deep learning: Recent advances in modeling protein assemblies.
    Shor B; Schneidman-Duhovny D
    Curr Opin Struct Biol; 2024 Aug; 87():102841. PubMed ID: 38795564
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computational Prediction of Secondary and Supersecondary Structures from Protein Sequences.
    Oldfield CJ; Chen K; Kurgan L
    Methods Mol Biol; 2019; 1958():73-100. PubMed ID: 30945214
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Recent developments in deep learning applied to protein structure prediction.
    Kandathil SM; Greener JG; Jones DT
    Proteins; 2019 Dec; 87(12):1179-1189. PubMed ID: 31589782
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.