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 *

152 related articles for article (PubMed ID: 38450325)

  • 21. Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.
    Russo DP; Zorn KM; Clark AM; Zhu H; Ekins S
    Mol Pharm; 2018 Oct; 15(10):4361-4370. PubMed ID: 30114914
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Predicting enzymatic function from global binding site descriptors.
    Volkamer A; Kuhn D; Rippmann F; Rarey M
    Proteins; 2013 Mar; 81(3):479-89. PubMed ID: 23150100
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine-learning based prediction models for assessing skin irritation and corrosion potential of liquid chemicals using physicochemical properties by XGBoost.
    Kang Y; Kim MG; Lim KM
    Toxicol Res; 2023 Apr; 39(2):295-305. PubMed ID: 37008690
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning.
    Munteanu CR; Gestal M; Martínez-Acevedo YG; Pedreira N; Pazos A; Dorado J
    Int J Mol Sci; 2019 Sep; 20(18):. PubMed ID: 31491969
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Predicting Chemical-Induced Liver Toxicity Using High-Content Imaging Phenotypes and Chemical Descriptors: A Random Forest Approach.
    Chavan S; Scherbak N; Engwall M; Repsilber D
    Chem Res Toxicol; 2020 Sep; 33(9):2261-2275. PubMed ID: 32830476
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predicting human odor perception represented by continuous values from mass spectra of essential oils resembling chemical mixtures.
    Debnath T; Nakamoto T
    PLoS One; 2020; 15(6):e0234688. PubMed ID: 32559255
    [TBL] [Abstract][Full Text] [Related]  

  • 27. ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities.
    Garcia de Lomana M; Morger A; Norinder U; Buesen R; Landsiedel R; Volkamer A; Kirchmair J; Mathea M
    J Chem Inf Model; 2021 Jul; 61(7):3255-3272. PubMed ID: 34153183
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning-enabled nanosafety assessment of multi-metallic alloy nanoparticles modified TiO
    Regonia PR; Olorocisimo JP; De Los Reyes F; Ikeda K; Pelicano CM
    NanoImpact; 2022 Oct; 28():100442. PubMed ID: 36436823
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach.
    Murat M; Chang SW; Abu A; Yap HJ; Yong KT
    PeerJ; 2017; 5():e3792. PubMed ID: 28924506
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors.
    Guan Y; Coley CW; Wu H; Ranasinghe D; Heid E; Struble TJ; Pattanaik L; Green WH; Jensen KF
    Chem Sci; 2020 Dec; 12(6):2198-2208. PubMed ID: 34163985
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Machine Learning-Based QSAR Model for Benzimidazole Derivatives as Corrosion Inhibitors by Incorporating Comprehensive Feature Selection.
    Liu Y; Guo Y; Wu W; Xiong Y; Sun C; Yuan L; Li M
    Interdiscip Sci; 2019 Dec; 11(4):738-747. PubMed ID: 31486019
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.
    Vos G; Trinh K; Sarnyai Z; Rahimi Azghadi M
    J Biomed Inform; 2023 Dec; 148():104556. PubMed ID: 38048895
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Direct Comparison of the Prediction of the Unbound Brain-to-Plasma Partitioning Utilizing Machine Learning Approach and Mechanistic Neuropharmacokinetic Model.
    Kosugi Y; Mizuno K; Santos C; Sato S; Hosea N; Zientek M
    AAPS J; 2021 May; 23(4):72. PubMed ID: 34008121
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors.
    Jaganathan K; Tayara H; Chong KT
    Pharmaceutics; 2022 Apr; 14(4):. PubMed ID: 35456666
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data.
    Mota LFM; Pegolo S; Baba T; Peñagaricano F; Morota G; Bittante G; Cecchinato A
    J Dairy Sci; 2021 Jul; 104(7):8107-8121. PubMed ID: 33865589
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Molecular Representations in Machine-Learning-Based Prediction of PK Parameters for Insulin Analogs.
    Einarson KA; Bendtsen KM; Li K; Thomsen M; Kristensen NR; Winther O; Fulle S; Clemmensen L; Refsgaard HHF
    ACS Omega; 2023 Jul; 8(26):23566-23578. PubMed ID: 37426277
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Is EC class predictable from reaction mechanism?
    Nath N; Mitchell JB
    BMC Bioinformatics; 2012 Apr; 13():60. PubMed ID: 22530800
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Predicting network of drug-enzyme interaction based on machine learning method.
    Niu B; Zhang Y; Ding J; Lu Y; Wang M; Lu W; Yuan X; Yin J
    Biochim Biophys Acta; 2014 Jan; 1844(1 Pt B):214-23. PubMed ID: 23907006
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computational modeling approaches for developing a synergistic effect prediction model of estrogen agonistic activity.
    Seo M; Choi J; Park J; Yu WJ; Kim S
    Chemosphere; 2024 Feb; 349():140926. PubMed ID: 38092168
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Physicochemical vs. Vibrational Descriptors for Prediction of Odor Receptor Responses.
    Gabler S; Soelter J; Hussain T; Sachse S; Schmuker M
    Mol Inform; 2013 Oct; 32(9-10):855-65. PubMed ID: 27480237
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.