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 *

359 related articles for article (PubMed ID: 30598072)

  • 21. Prediction of drug-target interaction based on protein features using undersampling and feature selection techniques with boosting.
    Mahmud SMH; Chen W; Meng H; Jahan H; Liu Y; Hasan SMM
    Anal Biochem; 2020 Jan; 589():113507. PubMed ID: 31734254
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prediction of anti-inflammatory proteins/peptides: an insilico approach.
    Gupta S; Sharma AK; Shastri V; Madhu MK; Sharma VK
    J Transl Med; 2017 Jan; 15(1):7. PubMed ID: 28057002
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Structure-based prediction of protein- peptide binding regions using Random Forest.
    Taherzadeh G; Zhou Y; Liew AW; Yang Y
    Bioinformatics; 2018 Feb; 34(3):477-484. PubMed ID: 29028926
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Virtual screening using combinatorial cyclic peptide libraries reveals protein interfaces readily targetable by cyclic peptides.
    Duffy FJ; O'Donovan D; Devocelle M; Moran N; O'Connell DJ; Shields DC
    J Chem Inf Model; 2015 Mar; 55(3):600-13. PubMed ID: 25668361
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Protein-chemical interaction prediction via kernelized sparse learning SVM.
    Shi Y; Zhang X; Liao X; Lin G; Schuurmans D
    Pac Symp Biocomput; 2013; ():41-52. PubMed ID: 23424110
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters.
    Stork C; Chen Y; Šícho M; Kirchmair J
    J Chem Inf Model; 2019 Mar; 59(3):1030-1043. PubMed ID: 30624935
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Quantitative structure--plasma protein binding relationships of acidic drugs.
    Zhivkova Z; Doytchinova I
    J Pharm Sci; 2012 Dec; 101(12):4627-41. PubMed ID: 22961754
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.
    Perryman AL; Stratton TP; Ekins S; Freundlich JS
    Pharm Res; 2016 Feb; 33(2):433-49. PubMed ID: 26415647
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue.
    Handa K; Yoshimura S; Kageyama M; Iijima T
    J Chem Inf Model; 2024 May; 64(9):3662-3669. PubMed ID: 38639496
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Plasma protein binding affinity and its relationship to molecular structure: an in-silico analysis.
    Gleeson MP
    J Med Chem; 2007 Jan; 50(1):101-12. PubMed ID: 17201414
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Computational prediction of the plasma protein-binding percent of diverse pharmaceutical compounds.
    Yamazaki K; Kanaoka M
    J Pharm Sci; 2004 Jun; 93(6):1480-94. PubMed ID: 15124206
    [TBL] [Abstract][Full Text] [Related]  

  • 32. In silico prediction of drug-induced rhabdomyolysis with machine-learning models and structural alerts.
    Cui X; Liu J; Zhang J; Wu Q; Li X
    J Appl Toxicol; 2019 Aug; 39(8):1224-1232. PubMed ID: 31006880
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L; Liao L; Wu CH
    BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Predicting Drug-Target Interactions Based on Small Positive Samples.
    Hu P; Chan KCC; Hu Y
    Curr Protein Pept Sci; 2018; 19(5):479-487. PubMed ID: 27829343
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Phage Selection of Cyclic Peptides for Application in Research and Drug Development.
    Deyle K; Kong XD; Heinis C
    Acc Chem Res; 2017 Aug; 50(8):1866-1874. PubMed ID: 28719188
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Simulating the influence of plasma protein on measured receptor affinity in biochemical assays reveals the utility of Schild analysis for estimating compound affinity for plasma proteins.
    Blakeley D; Sykes DA; Ensor P; Bertran E; Aston PJ; Charlton SJ
    Br J Pharmacol; 2015 Nov; 172(21):5037-49. PubMed ID: 26211929
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Prediction of small molecule binding property of protein domains with Bayesian classifiers based on Markov chains.
    Bulashevska A; Stein M; Jackson D; Eils R
    Comput Biol Chem; 2009 Dec; 33(6):457-60. PubMed ID: 19892602
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images.
    Fernandez M; Ban F; Woo G; Hsing M; Yamazaki T; LeBlanc E; Rennie PS; Welch WJ; Cherkasov A
    J Chem Inf Model; 2018 Aug; 58(8):1533-1543. PubMed ID: 30063345
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Machine Learning in Quantitative Protein-peptide Affinity Prediction: Implications for Therapeutic Peptide Design.
    Li Z; Miao Q; Yan F; Meng Y; Zhou P
    Curr Drug Metab; 2019; 20(3):170-176. PubMed ID: 30317994
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Computational Modeling of β-Secretase 1 (BACE-1) Inhibitors Using Ligand Based Approaches.
    Subramanian G; Ramsundar B; Pande V; Denny RA
    J Chem Inf Model; 2016 Oct; 56(10):1936-1949. PubMed ID: 27689393
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 18.