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 *

158 related articles for article (PubMed ID: 31940508)

  • 1. A classification model for blood brain barrier penetration.
    Singh M; Divakaran R; Konda LSK; Kristam R
    J Mol Graph Model; 2020 May; 96():107516. PubMed ID: 31940508
    [TBL] [Abstract][Full Text] [Related]  

  • 2. LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM.
    Shaker B; Yu MS; Song JS; Ahn S; Ryu JY; Oh KS; Na D
    Bioinformatics; 2021 May; 37(8):1135-1139. PubMed ID: 33112379
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting penetration across the blood-brain barrier from simple descriptors and fragmentation schemes.
    Zhao YH; Abraham MH; Ibrahim A; Fish PV; Cole S; Lewis ML; de Groot MJ; Reynolds DP
    J Chem Inf Model; 2007; 47(1):170-5. PubMed ID: 17238262
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees.
    Castillo-Garit JA; Casanola-Martin GM; Le-Thi-Thu H; Pham-The H; Barigye SJ
    Med Chem; 2017; 13(7):664-669. PubMed ID: 28185535
    [TBL] [Abstract][Full Text] [Related]  

  • 5. QSAR modeling of the blood-brain barrier permeability for diverse organic compounds.
    Zhang L; Zhu H; Oprea TI; Golbraikh A; Tropsha A
    Pharm Res; 2008 Aug; 25(8):1902-14. PubMed ID: 18553217
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Developing Enhanced Blood-Brain Barrier Permeability Models: Integrating External Bio-Assay Data in QSAR Modeling.
    Wang W; Kim MT; Sedykh A; Zhu H
    Pharm Res; 2015 Sep; 32(9):3055-65. PubMed ID: 25862462
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In silico modeling on ADME properties of natural products: Classification models for blood-brain barrier permeability, its application to traditional Chinese medicine and in vitro experimental validation.
    Zhang X; Liu T; Fan X; Ai N
    J Mol Graph Model; 2017 Aug; 75():347-354. PubMed ID: 28628860
    [TBL] [Abstract][Full Text] [Related]  

  • 8. In Silico Prediction of Blood-Brain Barrier Permeability of Compounds by Machine Learning and Resampling Methods.
    Wang Z; Yang H; Wu Z; Wang T; Li W; Tang Y; Liu G
    ChemMedChem; 2018 Oct; 13(20):2189-2201. PubMed ID: 30110511
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predictivity approach for quantitative structure-property models. Application for blood-brain barrier permeation of diverse drug-like compounds.
    Bolboacă SD; Jäntschi L
    Int J Mol Sci; 2011; 12(7):4348-64. PubMed ID: 21845082
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved Prediction of Blood-Brain Barrier Permeability Through Machine Learning with Combined Use of Molecular Property-Based Descriptors and Fingerprints.
    Yuan Y; Zheng F; Zhan CG
    AAPS J; 2018 Mar; 20(3):54. PubMed ID: 29564576
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimation of ADME properties with substructure pattern recognition.
    Shen J; Cheng F; Xu Y; Li W; Tang Y
    J Chem Inf Model; 2010 Jun; 50(6):1034-41. PubMed ID: 20578727
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of in vitro cell-based human blood-brain barrier model using clinical positron emission tomography radioligands to predict in vivo human brain penetration.
    Mabondzo A; Bottlaender M; Guyot AC; Tsaouin K; Deverre JR; Balimane PV
    Mol Pharm; 2010 Oct; 7(5):1805-15. PubMed ID: 20795735
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning based dynamic consensus model for predicting blood-brain barrier permeability.
    Mazumdar B; Deva Sarma PK; Mahanta HJ; Sastry GN
    Comput Biol Med; 2023 Jun; 160():106984. PubMed ID: 37137267
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DeePred-BBB: A Blood Brain Barrier Permeability Prediction Model With Improved Accuracy.
    Kumar R; Sharma A; Alexiou A; Bilgrami AL; Kamal MA; Ashraf GM
    Front Neurosci; 2022; 16():858126. PubMed ID: 35592264
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of Blood-Brain Barrier Penetration (BBBP) Based on Molecular Descriptors of the Free-Form and In-Blood-Form Datasets.
    Sakiyama H; Fukuda M; Okuno T
    Molecules; 2021 Dec; 26(24):. PubMed ID: 34946509
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of a computational approach to predict blood-brain barrier permeability.
    Liu X; Tu M; Kelly RS; Chen C; Smith BJ
    Drug Metab Dispos; 2004 Jan; 32(1):132-9. PubMed ID: 14709630
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predict drug permeability to blood-brain-barrier from clinical phenotypes: drug side effects and drug indications.
    Gao Z; Chen Y; Cai X; Xu R
    Bioinformatics; 2017 Mar; 33(6):901-908. PubMed ID: 27993785
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mimicking brain tissue binding in an in vitro model of the blood-brain barrier illustrates differences between in vitro and in vivo methods for assessing the rate of brain penetration.
    Heymans M; Sevin E; Gosselet F; Lundquist S; Culot M
    Eur J Pharm Biopharm; 2018 Jun; 127():453-461. PubMed ID: 29602020
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A method to predict different mechanisms for blood-brain barrier permeability of CNS activity compounds in Chinese herbs using support vector machine.
    Jiang L; Chen J; He Y; Zhang Y; Li G
    J Bioinform Comput Biol; 2016 Feb; 14(1):1650005. PubMed ID: 26632324
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of blood-brain barrier permeability using machine learning approaches based on various molecular representation.
    Liang L; Liu Z; Yang X; Zhang Y; Liu H; Chen Y
    Mol Inform; 2024 Jun; ():e202300327. PubMed ID: 38864837
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.