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 *

154 related articles for article (PubMed ID: 37092778)

  • 1. Do "Newly Born" orphan proteins resemble "Never Born" proteins? A study using three deep learning algorithms.
    Liu J; Yuan R; Shao W; Wang J; Silman I; Sussman JL
    Proteins; 2023 Aug; 91(8):1097-1115. PubMed ID: 37092778
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Crystal structure of the CN-hydrolase SA0302 from the pathogenic bacterium Staphylococcus aureus belonging to the Nit and NitFhit Branch of the nitrilase superfamily.
    Gordon RD; Qiu W; Romanov V; Lam K; Soloveychik M; Benetteraj D; Battaile KP; Chirgadze YN; Pai EF; Chirgadze NY
    J Biomol Struct Dyn; 2013 Oct; 31(10):1057-65. PubMed ID: 23607706
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intrinsic disorder in the Protein Data Bank.
    Le Gall T; Romero PR; Cortese MS; Uversky VN; Dunker AK
    J Biomol Struct Dyn; 2007 Feb; 24(4):325-42. PubMed ID: 17206849
    [TBL] [Abstract][Full Text] [Related]  

  • 4. AlphaFold2 fails to predict protein fold switching.
    Chakravarty D; Porter LL
    Protein Sci; 2022 Jun; 31(6):e4353. PubMed ID: 35634782
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model.
    Meng Q; Guo F; Tang J
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37321965
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence-based database for prediction of protein structure and their alterations in ocular diseases.
    Cen LP; Ng TK; Ji J; Lin JW; Yao Y; Yang R; Dong G; Cao Y; Chen C; Yao SQ; Wang WY; Huang Z; Qiu K; Pang CP; Liu Q; Zhang M
    Database (Oxford); 2023 Dec; 2023():. PubMed ID: 38109881
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of structural alphabet protein blocks using data mining.
    Maljković MM; Mitić NS; de Brevern AG
    Biochimie; 2022 Jun; 197():74-85. PubMed ID: 35143919
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting disordered regions in proteins using the profiles of amino acid indices.
    Han P; Zhang X; Feng ZP
    BMC Bioinformatics; 2009 Jan; 10 Suppl 1(Suppl 1):S42. PubMed ID: 19208144
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Large-scale prediction of long disordered regions in proteins using random forests.
    Han P; Zhang X; Norton RS; Feng ZP
    BMC Bioinformatics; 2009 Jan; 10():8. PubMed ID: 19128505
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures.
    Lategan FA; Schreiber C; Patterton HG
    BMC Bioinformatics; 2023 Oct; 24(1):373. PubMed ID: 37789284
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Systematic investigation of predicted effect of nonsynonymous SNPs in human prion protein gene: a molecular modeling and molecular dynamics study.
    Jahandideh S; Zhi D
    J Biomol Struct Dyn; 2014; 32(2):289-300. PubMed ID: 23527686
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Validation of de novo designed water-soluble and transmembrane β-barrels by in silico folding and melting.
    Hermosilla AM; Berner C; Ovchinnikov S; Vorobieva AA
    Protein Sci; 2024 Jul; 33(7):e5033. PubMed ID: 38864690
    [TBL] [Abstract][Full Text] [Related]  

  • 14. End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins.
    Yu CH; Chen W; Chiang YH; Guo K; Martin Moldes Z; Kaplan DL; Buehler MJ
    ACS Biomater Sci Eng; 2022 Mar; 8(3):1156-1165. PubMed ID: 35129957
    [TBL] [Abstract][Full Text] [Related]  

  • 15. In silico structural study of random amino acid sequence proteins not present in nature.
    Prymula K; Piwowar M; Kochanczyk M; Flis L; Malawski M; Szepieniec T; Evangelista G; Minervini G; Polticelli F; Wiśniowski Z; Sałapa K; Matczyńska E; Roterman I
    Chem Biodivers; 2009 Dec; 6(12):2311-36. PubMed ID: 20020465
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of protein structural classes for low-homology sequences based on predicted secondary structure.
    Yang JY; Peng ZL; Chen X
    BMC Bioinformatics; 2010 Jan; 11 Suppl 1(Suppl 1):S9. PubMed ID: 20122246
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria.
    Gao M; Nakajima An D; Skolnick J
    Elife; 2022 Dec; 11():. PubMed ID: 36576775
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Massive non-natural proteins structure prediction using grid technologies.
    Minervini G; Evangelista G; Villanova L; Slanzi D; De Lucrezia D; Poli I; Luisi PL; Polticelli F
    BMC Bioinformatics; 2009 Jun; 10 Suppl 6(Suppl 6):S22. PubMed ID: 19534748
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting mostly disordered proteins by using structure-unknown protein data.
    Shimizu K; Muraoka Y; Hirose S; Tomii K; Noguchi T
    BMC Bioinformatics; 2007 Mar; 8():78. PubMed ID: 17338828
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.