BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

408 related articles for article (PubMed ID: 33739897)

  • 1. The challenges of generalizability in artificial intelligence for ADME/Tox endpoint and activity prediction.
    Huang DZ; Baber JC; Bahmanyar SS
    Expert Opin Drug Discov; 2021 Sep; 16(9):1045-1056. PubMed ID: 33739897
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Applying machine learning techniques for ADME-Tox prediction: a review.
    Maltarollo VG; Gertrudes JC; Oliveira PR; Honorio KM
    Expert Opin Drug Metab Toxicol; 2015 Feb; 11(2):259-71. PubMed ID: 25440524
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial intelligence in drug discovery: recent advances and future perspectives.
    Jiménez-Luna J; Grisoni F; Weskamp N; Schneider G
    Expert Opin Drug Discov; 2021 Sep; 16(9):949-959. PubMed ID: 33779453
    [No Abstract]   [Full Text] [Related]  

  • 4. Critical assessment of AI in drug discovery.
    Walters WP; Barzilay R
    Expert Opin Drug Discov; 2021 Sep; 16(9):937-947. PubMed ID: 33870801
    [No Abstract]   [Full Text] [Related]  

  • 5. A Review on Deep Learning-driven Drug Discovery: Strategies, Tools and Applications.
    Sumathi S; Suganya K; Swathi K; Sudha B; Poornima A; Varghese CA; Aswathy R
    Curr Pharm Des; 2023 May; 29(13):1013-1025. PubMed ID: 37055908
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets.
    Wenzel J; Matter H; Schmidt F
    J Chem Inf Model; 2019 Mar; 59(3):1253-1268. PubMed ID: 30615828
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence in drug design.
    Zhong F; Xing J; Li X; Liu X; Fu Z; Xiong Z; Lu D; Wu X; Zhao J; Tan X; Li F; Luo X; Li Z; Chen K; Zheng M; Jiang H
    Sci China Life Sci; 2018 Oct; 61(10):1191-1204. PubMed ID: 30054833
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors.
    Shiammala PN; Duraimutharasan NKB; Vaseeharan B; Alothaim AS; Al-Malki ES; Snekaa B; Safi SZ; Singh SK; Velmurugan D; Selvaraj C
    Methods; 2023 Nov; 219():82-94. PubMed ID: 37778659
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development.
    Sarkar C; Das B; Rawat VS; Wahlang JB; Nongpiur A; Tiewsoh I; Lyngdoh NM; Das D; Bidarolli M; Sony HT
    Int J Mol Sci; 2023 Jan; 24(3):. PubMed ID: 36768346
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning tools to accelerate antibiotic discovery.
    Cesaro A; Bagheri M; Torres M; Wan F; de la Fuente-Nunez C
    Expert Opin Drug Discov; 2023; 18(11):1245-1257. PubMed ID: 37794737
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery.
    Yang X; Wang Y; Byrne R; Schneider G; Yang S
    Chem Rev; 2019 Sep; 119(18):10520-10594. PubMed ID: 31294972
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Success stories of AI in drug discovery - where do things stand?
    Mak KK; Balijepalli MK; Pichika MR
    Expert Opin Drug Discov; 2022 Jan; 17(1):79-92. PubMed ID: 34553659
    [TBL] [Abstract][Full Text] [Related]  

  • 13. New avenues in artificial-intelligence-assisted drug discovery.
    Cerchia C; Lavecchia A
    Drug Discov Today; 2023 Apr; 28(4):103516. PubMed ID: 36736583
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrating clinical pharmacology and artificial intelligence: potential benefits, challenges, and role of clinical pharmacologists.
    Singh H; Nim DK; Randhawa AS; Ahluwalia S
    Expert Rev Clin Pharmacol; 2024 Apr; 17(4):381-391. PubMed ID: 38340012
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery.
    Pasrija P; Jha P; Upadhyaya P; Khan MS; Chopra M
    Curr Top Med Chem; 2022; 22(20):1692-1727. PubMed ID: 35786336
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Opportunities and challenges using artificial intelligence in ADME/Tox.
    Bhhatarai B; Walters WP; Hop CECA; Lanza G; Ekins S
    Nat Mater; 2019 May; 18(5):418-422. PubMed ID: 31000801
    [TBL] [Abstract][Full Text] [Related]  

  • 17. AI in drug development: a multidisciplinary perspective.
    Gallego V; Naveiro R; Roca C; Ríos Insua D; Campillo NE
    Mol Divers; 2021 Aug; 25(3):1461-1479. PubMed ID: 34251580
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence in small molecule drug discovery from 2018 to 2023: Does it really work?
    Lv Q; Zhou F; Liu X; Zhi L
    Bioorg Chem; 2023 Dec; 141():106894. PubMed ID: 37776682
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The machine learning life cycle and the cloud: implications for drug discovery.
    Spjuth O; Frid J; Hellander A
    Expert Opin Drug Discov; 2021 Sep; 16(9):1071-1079. PubMed ID: 34057379
    [No Abstract]   [Full Text] [Related]  

  • 20. Guided structure-based ligand identification and design via artificial intelligence modeling.
    Di Filippo JI; Cavasotto CN
    Expert Opin Drug Discov; 2022 Jan; 17(1):71-78. PubMed ID: 34544293
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.