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 *

179 related articles for article (PubMed ID: 37142889)

  • 1. Classification of FLT3 inhibitors and SAR analysis by machine learning methods.
    Zhao Y; Tian Y; Pang X; Li G; Shi S; Yan A
    Mol Divers; 2024 Aug; 28(4):1995-2011. PubMed ID: 37142889
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability.
    Li G; Li J; Tian Y; Zhao Y; Pang X; Yan A
    Mol Divers; 2024 Aug; 28(4):2429-2447. PubMed ID: 37479824
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification models and SAR analysis on thromboxane A
    Ji Y; Li R; Tian Y; Chen G; Yan A
    SAR QSAR Environ Res; 2022 Jun; 33(6):429-462. PubMed ID: 35678125
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification models and SAR analysis on HDAC1 inhibitors using machine learning methods.
    Li R; Tian Y; Yang Z; Ji Y; Ding J; Yan A
    Mol Divers; 2023 Jun; 27(3):1037-1051. PubMed ID: 35737257
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A SAR and QSAR study on 3CLpro inhibitors of SARS-CoV-2 using machine learning methods.
    Zhang Y; Tian Y; Yan A
    SAR QSAR Environ Res; 2024 Jul; 35(7):531-563. PubMed ID: 39077983
    [TBL] [Abstract][Full Text] [Related]  

  • 6. SAR study on inhibitors of GIIA secreted phospholipase A
    Zhang S; Li Y; Qin Z; Tu G; Chen G; Yan A
    Chem Biol Drug Des; 2019 May; 93(5):666-684. PubMed ID: 30582300
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computational models for the classification of mPGES-1 inhibitors with fingerprint descriptors.
    Xia Z; Yan A
    Mol Divers; 2017 Aug; 21(3):661-675. PubMed ID: 28484935
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SAR and QSAR research on tyrosinase inhibitors using machine learning methods.
    Wu Y; Huo D; Chen G; Yan A
    SAR QSAR Environ Res; 2021 Feb; 32(2):85-110. PubMed ID: 33517778
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction and Structure-Activity Relationship Analysis on Ready Biodegradability of Chemical Using Machine Learning Method.
    Yin H; Lin C; Tian Y; Yan A
    Chem Res Toxicol; 2023 Apr; 36(4):617-629. PubMed ID: 37017429
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Discovering the Active Ingredients of Medicine and Food Homologous Substances for Inhibiting the Cyclooxygenase-2 Metabolic Pathway by Machine Learning Algorithms.
    Tian Y; Zhang Z; Yan A
    Molecules; 2023 Sep; 28(19):. PubMed ID: 37836625
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classification and QSAR models of leukotriene A4 hydrolase (LTA4H) inhibitors by machine learning methods.
    Qin R; Wang H; Yan A
    SAR QSAR Environ Res; 2021 May; 32(5):411-431. PubMed ID: 33896285
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
    Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classification models for predicting the bioactivity of pan-TRK inhibitors and SAR analysis.
    Zhao X; Kong Y; Ji Y; Xin X; Chen L; Chen G; Yu C
    Mol Divers; 2024 Aug; 28(4):2077-2097. PubMed ID: 37910346
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SAR and QSAR models of cyclooxygenase-1 (COX-1) inhibitors.
    Xi Y; Qin Z; Yan A
    SAR QSAR Environ Res; 2018 Oct; 29(10):755-784. PubMed ID: 30274533
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Building 2D classification models and 3D CoMSIA models on small-molecule inhibitors of both wild-type and T790M/L858R double-mutant EGFR.
    Huo D; Wang H; Qin Z; Tian Y; Yan A
    Mol Divers; 2022 Jun; 26(3):1715-1730. PubMed ID: 34636023
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of bioactivities of microsomal prostaglandin E
    Tian Y; Yang Z; Wang H; Yan A
    Chem Biol Drug Des; 2023 Jun; 101(6):1307-1321. PubMed ID: 36752697
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of kinase inhibitors that rule out the CYP27B1-mediated activation of vitamin D: an integrated machine learning and structure-based drug designing approach.
    Mahajan K; Verma H; Choudhary S; Raju B; Silakari O
    Mol Divers; 2021 Aug; 25(3):1617-1641. PubMed ID: 34272637
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Classification of HIV-1 Protease Inhibitors by Machine Learning Methods.
    Li Y; Tian Y; Qin Z; Yan A
    ACS Omega; 2018 Nov; 3(11):15837-15849. PubMed ID: 30556015
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification models and SAR analysis on CysLT1 receptor antagonists using machine learning algorithms.
    Wang H; Qin Z; Yan A
    Mol Divers; 2021 Aug; 25(3):1597-1616. PubMed ID: 33534023
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.
    Russo DP; Zorn KM; Clark AM; Zhu H; Ekins S
    Mol Pharm; 2018 Oct; 15(10):4361-4370. PubMed ID: 30114914
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.