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 *

162 related articles for article (PubMed ID: 36781207)

  • 1. PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk.
    Zhu F; Deng L; Dai Y; Zhang G; Meng F; Luo C; Hu G; Liang Z
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36781207
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Systematic characterization and prediction of post-translational modification cross-talk between proteins.
    Huang R; Huang Y; Guo Y; Ji S; Lu M; Li T
    Bioinformatics; 2019 Aug; 35(15):2626-2633. PubMed ID: 30590394
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Systematic characterization and prediction of post-translational modification cross-talk.
    Huang Y; Xu B; Zhou X; Li Y; Lu M; Jiang R; Li T
    Mol Cell Proteomics; 2015 Mar; 14(3):761-70. PubMed ID: 25605461
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Structure-based prediction of post-translational modification cross-talk within proteins using complementary residue- and residue pair-based features.
    Liu HF; Liu R
    Brief Bioinform; 2020 Mar; 21(2):609-620. PubMed ID: 30649184
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networks.
    Dewhurst HM; Torres MP
    PLoS One; 2017; 12(2):e0172572. PubMed ID: 28225828
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dissecting Structure-Encoded Determinants of Allosteric Cross-Talk between Post-Translational Modification Sites in the Hsp90 Chaperones.
    Stetz G; Tse A; Verkhivker GM
    Sci Rep; 2018 May; 8(1):6899. PubMed ID: 29720613
    [TBL] [Abstract][Full Text] [Related]  

  • 7. PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein-protein interaction information.
    Yang H; Wang M; Liu X; Zhao XM; Li A
    Bioinformatics; 2021 Dec; 37(24):4668-4676. PubMed ID: 34320631
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of Posttranslational Modifications in Arabidopsis Proteins and Metabolic Pathways Using the FAT-PTM Database.
    Blea MN; Wallace IS
    Methods Mol Biol; 2022; 2499():145-154. PubMed ID: 35696079
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.
    Chen Z; Liu X; Li F; Li C; Marquez-Lago T; Leier A; Akutsu T; Webb GI; Xu D; Smith AI; Li L; Chou KC; Song J
    Brief Bioinform; 2019 Nov; 20(6):2267-2290. PubMed ID: 30285084
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Investigation and identification of functional post-translational modification sites associated with drug binding and protein-protein interactions.
    Su MG; Weng JT; Hsu JB; Huang KY; Chi YH; Lee TY
    BMC Syst Biol; 2017 Dec; 11(Suppl 7):132. PubMed ID: 29322920
    [TBL] [Abstract][Full Text] [Related]  

  • 11. PhosphOrtholog: a web-based tool for cross-species mapping of orthologous protein post-translational modifications.
    Chaudhuri R; Sadrieh A; Hoffman NJ; Parker BL; Humphrey SJ; Stöckli J; Hill AP; James DE; Yang JY
    BMC Genomics; 2015 Aug; 16(1):617. PubMed ID: 26283093
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Proteome-wide Structural Analysis of PTM Hotspots Reveals Regulatory Elements Predicted to Impact Biological Function and Disease.
    Torres MP; Dewhurst H; Sundararaman N
    Mol Cell Proteomics; 2016 Nov; 15(11):3513-3528. PubMed ID: 27697855
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PTM-X: Prediction of Post-Translational Modification Crosstalk Within and Across Proteins.
    Li Y; Huang Y; Li T
    Methods Mol Biol; 2022; 2499():275-283. PubMed ID: 35696086
    [TBL] [Abstract][Full Text] [Related]  

  • 14. dbPTM in 2019: exploring disease association and cross-talk of post-translational modifications.
    Huang KY; Lee TY; Kao HJ; Ma CT; Lee CC; Lin TH; Chang WC; Huang HD
    Nucleic Acids Res; 2019 Jan; 47(D1):D298-D308. PubMed ID: 30418626
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases.
    Yan Y; Jiang JY; Fu M; Wang D; Pelletier AR; Sigdel D; Ng DCM; Wang W; Ping P
    Cell Rep Methods; 2023 Mar; 3(3):100430. PubMed ID: 37056379
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PTMscape: an open source tool to predict generic post-translational modifications and map modification crosstalk in protein domains and biological processes.
    Li GXH; Vogel C; Choi H
    Mol Omics; 2018 Jun; 14(3):197-209. PubMed ID: 29876573
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sitetack: A Deep Learning Model that Improves PTM Prediction by Using Known PTMs.
    Gutierrez CS; Kassim AA; Gutierrez BD; Raines RT
    bioRxiv; 2024 Jun; ():. PubMed ID: 38895359
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel method for predicting post-translational modifications on serine and threonine sites by using site-modification network profiles.
    Wang M; Jiang Y; Xu X
    Mol Biosyst; 2015 Nov; 11(11):3092-100. PubMed ID: 26344496
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sitetack: a deep learning model that improves PTM prediction by using known PTMs.
    Gutierrez CS; Kassim AA; Gutierrez BD; Raines RT
    Bioinformatics; 2024 Nov; 40(11):. PubMed ID: 39388212
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Enhancing the Discovery of Functional Post-Translational Modification Sites with Machine Learning Models - Development, Validation, and Interpretation.
    English N; Torres M
    Methods Mol Biol; 2022; 2499():221-260. PubMed ID: 35696084
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.