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 *

134 related articles for article (PubMed ID: 35393777)

  • 1. DeepBBBP: High Accuracy Blood-brain-barrier Permeability Prediction with a Mixed Deep Learning Model.
    Cherian Parakkal S; Datta R; Das D
    Mol Inform; 2022 Oct; 41(10):e2100315. PubMed ID: 35393777
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Blood-brain barrier penetration prediction enhanced by uncertainty estimation.
    Tong X; Wang D; Ding X; Tan X; Ren Q; Chen G; Rong Y; Xu T; Huang J; Jiang H; Zheng M; Li X
    J Cheminform; 2022 Jul; 14(1):44. PubMed ID: 35799215
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power.
    Yu TH; Su BH; Battalora LC; Liu S; Tseng YJ
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34530437
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition.
    Jaeger S; Fulle S; Turk S
    J Chem Inf Model; 2018 Jan; 58(1):27-35. PubMed ID: 29268609
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
    Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
    J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning.
    Miao R; Xia LY; Chen HH; Huang HH; Liang Y
    Sci Rep; 2019 Jun; 9(1):8802. PubMed ID: 31217424
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules.
    Ding Y; Jiang X; Kim Y
    Bioinformatics; 2022 May; 38(10):2826-2831. PubMed ID: 35561199
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. QPoweredCompound2DeNovoDrugPropMax - a novel programmatic tool incorporating deep learning and
    Geoffrey A S B; Madaj R; Valluri PP
    J Biomol Struct Dyn; 2023 Mar; 41(5):1790-1797. PubMed ID: 35007471
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models.
    Hu J; Huang MC; Yu X
    Accid Anal Prev; 2020 Sep; 144():105665. PubMed ID: 32683130
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
    Karnuta JM; Navarro SM; Haeberle HS; Helm JM; Kamath AF; Schaffer JL; Krebs VE; Ramkumar PN
    J Arthroplasty; 2019 Oct; 34(10):2235-2241.e1. PubMed ID: 31230954
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated Amharic News Categorization Using Deep Learning Models.
    Endalie D; Haile G
    Comput Intell Neurosci; 2021; 2021():3774607. PubMed ID: 34354742
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of Reaction Yield for Buchwald-Hartwig Cross-coupling Reactions Using Deep Learning.
    Sato A; Miyao T; Funatsu K
    Mol Inform; 2022 Feb; 41(2):e2100156. PubMed ID: 34585854
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Architectures and accuracy of artificial neural network for disease classification from omics data.
    Yu H; Samuels DC; Zhao YY; Guo Y
    BMC Genomics; 2019 Mar; 20(1):167. PubMed ID: 30832569
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.