BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 17333484)

  • 21. Novel tyrosinase inhibitors from natural resources - their computational studies.
    Khan MT
    Curr Med Chem; 2012; 19(14):2262-72. PubMed ID: 22414108
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Synthesis and evaluation of 2',4',6'-trihydroxychalcones as a new class of tyrosinase inhibitors.
    Jun N; Hong G; Jun K
    Bioorg Med Chem; 2007 Mar; 15(6):2396-402. PubMed ID: 17267225
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A new insight into mushroom tyrosinase inhibitors: docking, pharmacophore-based virtual screening, and molecular modeling studies.
    Bagherzadeh K; Shirgahi Talari F; Sharifi A; Ganjali MR; Saboury AA; Amanlou M
    J Biomol Struct Dyn; 2015; 33(3):487-501. PubMed ID: 24601849
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Design, synthesis and bioevaluation of novel umbelliferone analogues as potential mushroom tyrosinase inhibitors.
    Ashraf Z; Rafiq M; Seo SY; Babar MM; Zaidi NU
    J Enzyme Inhib Med Chem; 2015 Dec; 30(6):874-83. PubMed ID: 25643758
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Predicting antitrichomonal activity: a computational screening using atom-based bilinear indices and experimental proofs.
    Marrero-Ponce Y; Meneses-Marcel A; Castillo-Garit JA; Machado-Tugores Y; Escario JA; Barrio AG; Pereira DM; Nogal-Ruiz JJ; Arán VJ; Martínez-Fernández AR; Torrens F; Rotondo R; Ibarra-Velarde F; Alvarado YJ
    Bioorg Med Chem; 2006 Oct; 14(19):6502-24. PubMed ID: 16875830
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A class of potent tyrosinase inhibitors: alkylidenethiosemicarbazide compounds.
    Liu J; Cao R; Yi W; Ma C; Wan Y; Zhou B; Ma L; Song H
    Eur J Med Chem; 2009 Apr; 44(4):1773-8. PubMed ID: 18524420
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Non-stochastic and stochastic linear indices of the molecular pseudograph's atom-adjacency matrix: a novel approach for computational in silico screening and "rational" selection of new lead antibacterial agents.
    Marrero-Ponce Y; Marrero RM; Torrens F; Martinez Y; Bernal MG; Zaldivar VR; Castro EA; Abalo RG
    J Mol Model; 2006 Feb; 12(3):255-71. PubMed ID: 16270182
    [TBL] [Abstract][Full Text] [Related]  

  • 28. New halogenated phenylcoumarins as tyrosinase inhibitors.
    Matos MJ; Santana L; Uriarte E; Delogu G; Corda M; Fadda MB; Era B; Fais A
    Bioorg Med Chem Lett; 2011 Jun; 21(11):3342-5. PubMed ID: 21514152
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A computer-based approach to the rational discovery of new trichomonacidal drugs by atom-type linear indices.
    Marrero-Ponce Y; Machado-Tugores Y; Pereira DM; Escario JA; Barrio AG; Nogal-Ruiz JJ; Ochoa C; Arán VJ; Martínez-Fernández AR; Sánchez RN; Montero-Torres A; Torrens F; Meneses-Marcel A
    Curr Drug Discov Technol; 2005 Dec; 2(4):245-65. PubMed ID: 16475921
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Design, synthesis and biological evaluation of hydroxy- or methoxy-substituted 5-benzylidene(thio) barbiturates as novel tyrosinase inhibitors.
    Chen Z; Cai D; Mou D; Yan Q; Sun Y; Pan W; Wan Y; Song H; Yi W
    Bioorg Med Chem; 2014 Jul; 22(13):3279-84. PubMed ID: 24857777
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Design, synthesis and molecular simulation studies of dihydrostilbene derivatives as potent tyrosinase inhibitors.
    Vontzalidou A; Zoidis G; Chaita E; Makropoulou M; Aligiannis N; Lambrinidis G; Mikros E; Skaltsounis AL
    Bioorg Med Chem Lett; 2012 Sep; 22(17):5523-6. PubMed ID: 22835872
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A Comparative Study of Nonlinear Machine Learning for the "In Silico" Depiction of Tyrosinase Inhibitory Activity from Molecular Structure.
    Le-Thi-Thu H; Marrero-Ponce Y; Casañola-Martin GM; Cardoso GC; Chávez Mdel C; Garcia MM; Morell C; Torrens F; Abad C
    Mol Inform; 2011 Jun; 30(6-7):527-37. PubMed ID: 27467154
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Synthesis and biological evaluation of polyhydroxy benzophenone as mushroom tyrosinase inhibitors.
    Wu J; Hu X; Ma L
    J Enzyme Inhib Med Chem; 2011 Jun; 26(3):449-52. PubMed ID: 20939763
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Rational design, synthesis and structure-activity relationships of 4-alkoxy- and 4-acyloxy-phenylethylenethiosemicarbazone analogues as novel tyrosinase inhibitors.
    You A; Zhou J; Song S; Zhu G; Song H; Yi W
    Bioorg Med Chem; 2015 Mar; 23(5):924-31. PubMed ID: 25661448
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 3D-chiral quadratic indices of the 'molecular pseudograph's atom adjacency matrix' and their application to central chirality codification: classification of ACE inhibitors and prediction of sigma-receptor antagonist activities.
    Ponce YM; Diaz HG; Zaldivar VR; Torrens F; Castro EA
    Bioorg Med Chem; 2004 Oct; 12(20):5331-42. PubMed ID: 15388160
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Study on the design, synthesis and structure-activity relationships of new thiosemicarbazone compounds as tyrosinase inhibitors.
    Song S; You A; Chen Z; Zhu G; Wen H; Song H; Yi W
    Eur J Med Chem; 2017 Oct; 139():815-825. PubMed ID: 28865277
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Synthesis of novel azo-resveratrol, azo-oxyresveratrol and their derivatives as potent tyrosinase inhibitors.
    Song YM; Ha YM; Kim JA; Chung KW; Uehara Y; Lee KJ; Chun P; Byun Y; Chung HY; Moon HR
    Bioorg Med Chem Lett; 2012 Dec; 22(24):7451-5. PubMed ID: 23142612
    [TBL] [Abstract][Full Text] [Related]  

  • 38. SAR and QSAR research on tyrosinase inhibitors using machine learning methods.
    Wu Y; Huo D; Chen G; Yan A
    SAR QSAR Environ Res; 2021 Feb; 32(2):85-110. PubMed ID: 33517778
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A newly synthesized, potent tyrosinase inhibitor: 5-(6-hydroxy-2-naphthyl)-1,2,3-benzenetriol.
    Choi J; Bae SJ; Ha YM; No JK; Lee EK; Lee JS; Song S; Lee H; Suh H; Yu BP; Chung HY
    Bioorg Med Chem Lett; 2010 Aug; 20(16):4882-4. PubMed ID: 20619644
    [TBL] [Abstract][Full Text] [Related]  

  • 40. New antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors.
    Meneses-Marcel A; Rivera-Borroto OM; Marrero-Ponce Y; Montero A; Machado Tugores Y; Escario JA; Gómez Barrio A; Montero Pereira D; Nogal JJ; Kouznetsov VV; Ochoa Puentes C; Bohórquez AR; Grau R; Torrens F; Ibarra-Velarde F; Arán VJ
    J Biomol Screen; 2008 Sep; 13(8):785-94. PubMed ID: 18753687
    [TBL] [Abstract][Full Text] [Related]  

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