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 *

120 related articles for article (PubMed ID: 23030611)

  • 1. Identification of LOGP values and Electronegativities as structural insights to model inhibitory activity of HIV-1 capsid inhibitors - a SVM and MLR aided QSAR studies.
    Sharma N; Ethiraj KR; Yadav M; Nayarisseri S A; Chaurasiya M; Vankudavath RN; Rao KR
    Curr Top Med Chem; 2012; 12(16):1763-74. PubMed ID: 23030611
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimization of Gaussian Kernel Function in Support Vector Machine aided QSAR studies of C-aryl glucoside SGLT2 inhibitors.
    Prasoona RK; Jyoti A; Mukesh Y; Nishant S; Anuraj NS; Shobha J
    Interdiscip Sci; 2013 Mar; 5(1):45-52. PubMed ID: 23605639
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM).
    Qin Z; Wang M; Yan A
    Bioorg Med Chem Lett; 2017 Jul; 27(13):2931-2938. PubMed ID: 28501513
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity.
    Pourbasheer E; Riahi S; Ganjali MR; Norouzi P
    Eur J Med Chem; 2009 Dec; 44(12):5023-8. PubMed ID: 19837488
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictions of chromatographic retention indices of alkylphenols with support vector machines and multiple linear regression.
    Fatemi MH; Baher E; Ghorbanzade'h M
    J Sep Sci; 2009 Dec; 32(23-24):4133-42. PubMed ID: 19937857
    [TBL] [Abstract][Full Text] [Related]  

  • 9. QSAR study of carboxylic acid derivatives as HIV-1 Integrase inhibitors.
    Cheng Z; Zhang Y; Fu W
    Eur J Med Chem; 2010 Sep; 45(9):3970-80. PubMed ID: 20561721
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Linear and non-linear quantitative structure-activity relationship models on indole substitution patterns as inhibitors of HIV-1 attachment.
    Nirouei M; Ghasemi G; Abdolmaleki P; Tavakoli A; Shariati S
    Indian J Biochem Biophys; 2012 Jun; 49(3):202-10. PubMed ID: 22803336
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computational models on quantitative prediction of bioactivity of HIV-1 integrase 3' processing inhibitors.
    Kong Y; Xuan S; Yan A
    SAR QSAR Environ Res; 2014; 25(9):729-46. PubMed ID: 25121566
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of bioactivity of ACAT2 inhibitors by multilinear regression analysis and support vector machine.
    Zhong M; Xuan S; Wang L; Hou X; Wang M; Yan A; Dai B
    Bioorg Med Chem Lett; 2013 Jul; 23(13):3788-92. PubMed ID: 23711921
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SAR and QSAR study on the bioactivities of human epidermal growth factor receptor-2 (HER2) inhibitors.
    Qu D; Yan A; Zhang JS
    SAR QSAR Environ Res; 2017 Feb; 28(2):111-132. PubMed ID: 28235391
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of sweetness by multilinear regression analysis and support vector machine.
    Zhong M; Chong Y; Nie X; Yan A; Yuan Q
    J Food Sci; 2013 Sep; 78(9):S1445-50. PubMed ID: 23915005
    [TBL] [Abstract][Full Text] [Related]  

  • 16. SAR and QSAR models of cyclooxygenase-1 (COX-1) inhibitors.
    Xi Y; Qin Z; Yan A
    SAR QSAR Environ Res; 2018 Oct; 29(10):755-784. PubMed ID: 30274533
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of intrinsic solubility of generic drugs using MLR, ANN and SVM analyses.
    Louis B; Agrawal VK; Khadikar PV
    Eur J Med Chem; 2010 Sep; 45(9):4018-25. PubMed ID: 20584562
    [TBL] [Abstract][Full Text] [Related]  

  • 18. QSAR study on melanocortin-4 receptors by support vector machine.
    Pourbasheer E; Riahi S; Ganjali MR; Norouzi P
    Eur J Med Chem; 2010 Mar; 45(3):1087-93. PubMed ID: 20031282
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploring QSARs of the interaction of flavonoids with GABA (A) receptor using MLR, ANN and SVM techniques.
    Deeb O; Shaik B; Agrawal VK
    J Enzyme Inhib Med Chem; 2014 Oct; 29(5):670-6. PubMed ID: 24102524
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Activities of BRAF (V600E) Inhibitors by SW-MLR and GA-MLR Methods.
    Pargolghasemi P; Hoseininezhad-Namin MS; Jadid AP
    Curr Comput Aided Drug Des; 2017; 13(3):249-261. PubMed ID: 28260510
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.