BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1094 related articles for article (PubMed ID: 29037046)

  • 1. ADMET Evaluation in Drug Discovery. 18. Reliable Prediction of Chemical-Induced Urinary Tract Toxicity by Boosting Machine Learning Approaches.
    Lei T; Sun H; Kang Y; Zhu F; Liu H; Zhou W; Wang Z; Li D; Li Y; Hou T
    Mol Pharm; 2017 Nov; 14(11):3935-3953. PubMed ID: 29037046
    [TBL] [Abstract][Full Text] [Related]  

  • 2. ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.
    Lei T; Chen F; Liu H; Sun H; Kang Y; Li D; Li Y; Hou T
    Mol Pharm; 2017 Jul; 14(7):2407-2421. PubMed ID: 28595388
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.
    Wang S; Sun H; Liu H; Li D; Li Y; Hou T
    Mol Pharm; 2016 Aug; 13(8):2855-66. PubMed ID: 27379394
    [TBL] [Abstract][Full Text] [Related]  

  • 5. ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling.
    Lei T; Li Y; Song Y; Li D; Sun H; Hou T
    J Cheminform; 2016; 8():6. PubMed ID: 26839598
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Binary classification of a large collection of environmental chemicals from estrogen receptor assays by quantitative structure-activity relationship and machine learning methods.
    Zang Q; Rotroff DM; Judson RS
    J Chem Inf Model; 2013 Dec; 53(12):3244-61. PubMed ID: 24279462
    [TBL] [Abstract][Full Text] [Related]  

  • 7. QSAR modelling study of the bioconcentration factor and toxicity of organic compounds to aquatic organisms using machine learning and ensemble methods.
    Ai H; Wu X; Zhang L; Qi M; Zhao Y; Zhao Q; Zhao J; Liu H
    Ecotoxicol Environ Saf; 2019 Sep; 179():71-78. PubMed ID: 31026752
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioactive Molecule Prediction Using Extreme Gradient Boosting.
    Babajide Mustapha I; Saeed F
    Molecules; 2016 Jul; 21(8):. PubMed ID: 27483216
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning.
    Jiang D; Lei T; Wang Z; Shen C; Cao D; Hou T
    J Cheminform; 2020 Mar; 12(1):16. PubMed ID: 33430990
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting the reproductive toxicity of chemicals using ensemble learning methods and molecular fingerprints.
    Feng H; Zhang L; Li S; Liu L; Yang T; Yang P; Zhao J; Arkin IT; Liu H
    Toxicol Lett; 2021 Apr; 340():4-14. PubMed ID: 33421549
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Relevance Vector Machines: Sparse Classification Methods for QSAR.
    Burden FR; Winkler DA
    J Chem Inf Model; 2015 Aug; 55(8):1529-34. PubMed ID: 26158341
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Informing the Human Plasma Protein Binding of Environmental Chemicals by Machine Learning in the Pharmaceutical Space: Applicability Domain and Limits of Predictability.
    Ingle BL; Veber BC; Nichols JW; Tornero-Velez R
    J Chem Inf Model; 2016 Nov; 56(11):2243-2252. PubMed ID: 27684444
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparing the Influence of Simulated Experimental Errors on 12 Machine Learning Algorithms in Bioactivity Modeling Using 12 Diverse Data Sets.
    Cortes-Ciriano I; Bender A; Malliavin TE
    J Chem Inf Model; 2015 Jul; 55(7):1413-25. PubMed ID: 26038978
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
    Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
    BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Inhibitors for Multidrug Resistance Associated Protein-2 Transporter by Machine Learning Approach.
    Kharangarh S; Sandhu H; Tangadpalliwar S; Garg P
    Comb Chem High Throughput Screen; 2018; 21(8):557-566. PubMed ID: 30360705
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.
    Wei Y; Li W; Du T; Hong Z; Lin J
    Int J Mol Sci; 2019 Jul; 20(14):. PubMed ID: 31336592
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine.
    Deng L; Pan J; Xu X; Yang W; Liu C; Liu H
    BMC Bioinformatics; 2018 Dec; 19(Suppl 19):522. PubMed ID: 30598073
    [TBL] [Abstract][Full Text] [Related]  

  • 18. In Silico Prediction of Chemical-Induced Hepatocellular Hypertrophy Using Molecular Descriptors.
    Ambe K; Ishihara K; Ochibe T; Ohya K; Tamura S; Inoue K; Yoshida M; Tohkin M
    Toxicol Sci; 2018 Apr; 162(2):667-675. PubMed ID: 29309657
    [TBL] [Abstract][Full Text] [Related]  

  • 19. In silico prediction of drug-induced developmental toxicity by using machine learning approaches.
    Zhang H; Mao J; Qi HZ; Ding L
    Mol Divers; 2020 Nov; 24(4):1281-1290. PubMed ID: 31486961
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Stroke Prediction with Machine Learning Methods among Older Chinese.
    Wu Y; Fang Y
    Int J Environ Res Public Health; 2020 Mar; 17(6):. PubMed ID: 32178250
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 55.