BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

37 related articles for article (PubMed ID: 19729328)

  • 1.
    Fan D; Yang H; Li F; Sun L; Di P; Li W; Tang Y; Liu G
    Toxicol Res (Camb); 2018 Mar; 7(2):211-220. PubMed ID: 30090576
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of novel TACE inhibitors using DNN based- virtual screening, molecular dynamics and biological evaluation.
    Parwez S; Mahapatra PP; Ahmed S; Siddiqi MI
    J Biomol Struct Dyn; 2024 Jul; 42(11):5869-5880. PubMed ID: 37382224
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A supervised machine learning approach for the prediction of antioxidant activities of
    Olawoye B; Fagbohun OF; Popoola-Akinola O; Akinsola JET; Akanbi CT
    Heliyon; 2024 Feb; 10(3):e24506. PubMed ID: 38322916
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Water Quality Prediction Using Artificial Intelligence Algorithms.
    Aldhyani THH; Al-Yaari M; Alkahtani H; Maashi M
    Appl Bionics Biomech; 2020; 2020():6659314. PubMed ID: 33456498
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Human pol II promoter prediction: time series descriptors and machine learning.
    Gangal R; Sharma P
    Nucleic Acids Res; 2005; 33(4):1332-6. PubMed ID: 15741185
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and experimental test of support vector machines virtual screening method for searching Src inhibitors from large compound libraries.
    Han B; Ma X; Zhao R; Zhang J; Wei X; Liu X; Liu X; Zhang C; Tan C; Jiang Y; Chen Y
    Chem Cent J; 2012 Nov; 6(1):139. PubMed ID: 23173901
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A prediction model for oral bioavailability of drugs using physicochemical properties by support vector machine.
    Kumar R; Sharma A; Varadwaj PK
    J Nat Sci Biol Med; 2011 Jul; 2(2):168-73. PubMed ID: 22346230
    [TBL] [Abstract][Full Text] [Related]  

  • 8. APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features.
    Malik A; Kamli MR; Sabir JSM; Rather IA; Phan LT; Kim CB; Manavalan B
    Methods; 2024 Jun; ():. PubMed ID: 38944134
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DeepADRA2A: predicting adrenergic α2a inhibitors using deep learning.
    Wankhade N; Dayasagar U; Sharma A; Kamble P; Varma T; Garg P
    J Biomol Struct Dyn; 2023 Oct; ():1-12. PubMed ID: 37837428
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning in TCM with natural products and molecules: current status and future perspectives.
    Ma S; Liu J; Li W; Liu Y; Hui X; Qu P; Jiang Z; Li J; Wang J
    Chin Med; 2023 Apr; 18(1):43. PubMed ID: 37076902
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Practical Implementation of Artificial Intelligence-Based Deep Learning and Cloud Computing on the Application of Traditional Medicine and Western Medicine in the Diagnosis and Treatment of Rheumatoid Arthritis.
    Wang S; Hou Y; Li X; Meng X; Zhang Y; Wang X
    Front Pharmacol; 2021; 12():765435. PubMed ID: 35002704
    [TBL] [Abstract][Full Text] [Related]  

  • 12.
    Wang X; Li D; Jiang M; Pei Z; Xu L
    Evid Based Complement Alternat Med; 2018; 2018():2484912. PubMed ID: 29681970
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of acetylcholinesterase inhibitors and characterization of correlative molecular descriptors by machine learning methods.
    Lv W; Xue Y
    Eur J Med Chem; 2010 Mar; 45(3):1167-72. PubMed ID: 20053484
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of antibacterial compounds by machine learning approaches.
    Yang XG; Chen D; Wang M; Xue Y; Chen YZ
    J Comput Chem; 2009 Jun; 30(8):1202-11. PubMed ID: 18988254
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of factor Xa inhibitors by machine learning methods.
    Lin HH; Han LY; Yap CW; Xue Y; Liu XH; Zhu F; Chen YZ
    J Mol Graph Model; 2007 Sep; 26(2):505-18. PubMed ID: 17418603
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Novel methods and strategies in the discovery of TACE inhibitors.
    Murumkar PR; Giridhar R; Yadav MR
    Expert Opin Drug Discov; 2013 Feb; 8(2):157-81. PubMed ID: 23231541
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Current perspective of TACE inhibitors: a review.
    DasGupta S; Murumkar PR; Giridhar R; Yadav MR
    Bioorg Med Chem; 2009 Jan; 17(2):444-59. PubMed ID: 19095454
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of novel and selective TNF-alpha converting enzyme (TACE) inhibitors and characterization of correlative molecular descriptors by machine learning approaches.
    Cong Y; Yang XG; Lv W; Xue Y
    J Mol Graph Model; 2009 Oct; 28(3):236-44. PubMed ID: 19729328
    [TBL] [Abstract][Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.