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 *

171 related articles for article (PubMed ID: 36811528)

  • 21. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
    Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
    [TBL] [Abstract][Full Text] [Related]  

  • 22. From molecular descriptors to the developmental toxicity prediction of pesticides/veterinary drugs/bio-pesticides against zebrafish embryo: Dual computational toxicological approaches for prioritization.
    Wang Y; Wang P; Fan T; Ren T; Zhang N; Zhao L; Zhong R; Sun G
    J Hazard Mater; 2024 Jun; 476():134945. PubMed ID: 38905984
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Application of GA-MLR for QSAR Modeling of the Arylthioindole Class of Tubulin Polymerization Inhibitors as Anticancer Agents.
    Ahmadi S; Habibpour E
    Anticancer Agents Med Chem; 2017; 17(4):552-565. PubMed ID: 27528182
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predictive QSAR modeling of CCR5 antagonist piperidine derivatives using chemometric tools.
    Roy K; Mandal AS
    J Enzyme Inhib Med Chem; 2009 Feb; 24(1):205-23. PubMed ID: 18608745
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Exploring the QSAR's predictive truthfulness of the novel N-tuple discrete derivative indices on benchmark datasets.
    Martínez-Santiago O; Marrero-Ponce Y; Vivas-Reyes R; Rivera-Borroto OM; Hurtado E; Treto-Suarez MA; Ramos Y; Vergara-Murillo F; Orozco-Ugarriza ME; Martínez-López Y
    SAR QSAR Environ Res; 2017 May; 28(5):367-389. PubMed ID: 28590848
    [TBL] [Abstract][Full Text] [Related]  

  • 26.
    Banjare P; Singh R; Pandey NK; Matore BW; Murmu A; Singh J; Roy PP
    Toxicol Res (Camb); 2024 Feb; 13(1):tfae020. PubMed ID: 38496320
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Combinatorial QSAR of ambergris fragrance compounds.
    Kovatcheva A; Golbraikh A; Oloff S; Xiao YD; Zheng W; Wolschann P; Buchbauer G; Tropsha A
    J Chem Inf Comput Sci; 2004; 44(2):582-95. PubMed ID: 15032539
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A machine learning q-RASPR approach for efficient predictions of the specific surface area of perovskites.
    Banerjee A; Gajewicz-Skretna A; Roy K
    Mol Inform; 2023 Apr; 42(4):e2200261. PubMed ID: 36618002
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Application of support vector machine (SVM) for prediction toxic activity of different data sets.
    Zhao CY; Zhang HX; Zhang XY; Liu MC; Hu ZD; Fan BT
    Toxicology; 2006 Jan; 217(2-3):105-19. PubMed ID: 16213080
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Genetic Algorithm and Self-Organizing Maps for QSPR Study of Some N-aryl Derivatives as Butyrylcholinesterase Inhibitors.
    Ahmadi S; Ganji S
    Curr Drug Discov Technol; 2016; 13(4):232-253. PubMed ID: 27457492
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Quantitative Structure-Activity Relationship Study of Camptothecin Derivatives as Anticancer Drugs Using Molecular Descriptors.
    Ahmadinejad N; Shafiei F
    Comb Chem High Throughput Screen; 2019; 22(6):387-399. PubMed ID: 31284856
    [TBL] [Abstract][Full Text] [Related]  

  • 32. ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.
    Lei T; Chen F; Liu H; Sun H; Kang Y; Li D; Li Y; Hou T
    Mol Pharm; 2017 Jul; 14(7):2407-2421. PubMed ID: 28595388
    [TBL] [Abstract][Full Text] [Related]  

  • 33. [Quantitative structure-activity relationship model for prediction of cardiotoxicity of chemical components in traditional Chinese medicines].
    Beijing Da Xue Xue Bao Yi Xue Ban; 2017 Jun; 49(3):551-556. PubMed ID: 28628163
    [TBL] [Abstract][Full Text] [Related]  

  • 34. How to correctly develop q-RASAR models for predictive cheminformatics.
    Banerjee A; Roy K
    Expert Opin Drug Discov; 2024 Jul; ():1-6. PubMed ID: 38966910
    [No Abstract]   [Full Text] [Related]  

  • 35. 2D QSAR modeling and preliminary database searching for dopamine transporter inhibitors using genetic algorithm variable selection of Molconn Z descriptors.
    Hoffman BT; Kopajtic T; Katz JL; Newman AH
    J Med Chem; 2000 Nov; 43(22):4151-9. PubMed ID: 11063611
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine.
    Fatemi MH; Gharaghani S
    Bioorg Med Chem; 2007 Dec; 15(24):7746-54. PubMed ID: 17870538
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.
    Luechtefeld T; Marsh D; Rowlands C; Hartung T
    Toxicol Sci; 2018 Sep; 165(1):198-212. PubMed ID: 30007363
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development of MLR and SVM Aided QSAR Models to Identify Common SAR of GABA Uptake Herbal Inhibitors used in the Treatment of Schizophrenia.
    Marunnan SM; Pulikkal BP; Jabamalairaj A; Bandaru S; Yadav M; Nayarisseri A; Doss VA
    Curr Neuropharmacol; 2017 Nov; 15(8):1085-1092. PubMed ID: 27919211
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prediction of Anti-proliferation Effect of [1,2,3]Triazolo[4,5-d]pyrimidine Derivatives by Random Forest and Mix-Kernel Function SVM with PSO.
    Gao Z; Xia R; Zhang P
    Chem Pharm Bull (Tokyo); 2022 Oct; 70(10):684-693. PubMed ID: 35922903
    [TBL] [Abstract][Full Text] [Related]  

  • 40. QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors.
    Fatemi MH; Heidari A; Gharaghani S
    J Theor Biol; 2015 Mar; 369():13-22. PubMed ID: 25600056
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.