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 *

238 related articles for article (PubMed ID: 35592264)

  • 1. 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]  

  • 2. A merged molecular representation deep learning method for blood-brain barrier permeability prediction.
    Tang Q; Nie F; Zhao Q; Chen W
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36002937
    [TBL] [Abstract][Full Text] [Related]  

  • 3. ANN multi-layer perceptron for prediction of blood-brain barrier permeable compounds for central nervous system therapeutics.
    Sharma A; Selvam S; Balaji PD; Madhavan T
    J Biomol Struct Dyn; 2024 Mar; ():1-6. PubMed ID: 38497749
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting blood-brain barrier permeability of molecules with a large language model and machine learning.
    Huang ETC; Yang JS; Liao KYK; Tseng WCW; Lee CK; Gill M; Compas C; See S; Tsai FJ
    Sci Rep; 2024 Jul; 14(1):15844. PubMed ID: 38982309
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of the Blood-Brain Barrier (BBB) Permeability of Chemicals Based on Machine-Learning and Ensemble Methods.
    Liu L; Zhang L; Feng H; Li S; Liu M; Zhao J; Liu H
    Chem Res Toxicol; 2021 Jun; 34(6):1456-1467. PubMed ID: 34047182
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood-Brain Barrier Permeability Prediction.
    Kumar V; Banerjee A; Roy K
    J Chem Inf Model; 2024 May; 64(10):4298-4309. PubMed ID: 38700741
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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 Sep; 43(9):e202300327. PubMed ID: 38864837
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Blood Brain Barrier Permeability Prediction Using Machine Learning Techniques: An Update.
    Saxena D; Sharma A; Siddiqui MH; Kumar R
    Curr Pharm Biotechnol; 2019; 20(14):1163-1171. PubMed ID: 31433750
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Resampling combined with stacking learning for prediction of blood-brain barrier permeability of compounds].
    Su Q; Xiao G; Zhou W; Du Z
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Aug; 40(4):753-761. PubMed ID: 37666766
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A curated diverse molecular database of blood-brain barrier permeability with chemical descriptors.
    Meng F; Xi Y; Huang J; Ayers PW
    Sci Data; 2021 Oct; 8(1):289. PubMed ID: 34716354
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Non-animal models for blood-brain barrier permeability evaluation of drug-like compounds.
    Dehnbostel FO; Dixit VA; Preissner R; Banerjee P
    Sci Rep; 2024 Apr; 14(1):8908. PubMed ID: 38632344
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Recurrent Neural Network model to predict blood-brain barrier permeability.
    Alsenan S; Al-Turaiki I; Hafez A
    Comput Biol Chem; 2020 Dec; 89():107377. PubMed ID: 33010784
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. BBBper: A Machine Learning-based Online Tool for Blood-Brain Barrier (BBB) Permeability Prediction.
    Kumar P; Saini V; Gupta D; Chawla PA; Kumar A
    CNS Neurol Disord Drug Targets; 2024 Oct; ():. PubMed ID: 39415574
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.