BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

326 related articles for article (PubMed ID: 19782806)

  • 1. Multi-target spectral moment: QSAR for antiviral drugs vs. different viral species.
    Prado-Prado FJ; Borges F; Uriarte E; Peréz-Montoto LG; González-Díaz H
    Anal Chim Acta; 2009 Oct; 651(2):159-64. PubMed ID: 19782806
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-target spectral moment: QSAR for antifungal drugs vs. different fungi species.
    Prado-Prado FJ; Borges F; Perez-Montoto LG; González-Díaz H
    Eur J Med Chem; 2009 Oct; 44(10):4051-6. PubMed ID: 19467743
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks.
    Prado-Prado FJ; Martinez de la Vega O; Uriarte E; Ubeira FM; Chou KC; González-Díaz H
    Bioorg Med Chem; 2009 Jan; 17(2):569-75. PubMed ID: 19112024
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds.
    Prado-Prado FJ; González-Díaz H; de la Vega OM; Ubeira FM; Chou KC
    Bioorg Med Chem; 2008 Jun; 16(11):5871-80. PubMed ID: 18485714
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Unify QSAR approach to antimicrobials. Part 1: predicting antifungal activity against different species.
    González-Díaz H; Prado-Prado FJ; Santana L; Uriarte E
    Bioorg Med Chem; 2006 Sep; 14(17):5973-80. PubMed ID: 16759868
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-target spectral moments for QSAR and Complex Networks study of antibacterial drugs.
    Prado-Prado FJ; Uriarte E; Borges F; González-Díaz H
    Eur J Med Chem; 2009 Nov; 44(11):4516-21. PubMed ID: 19631422
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
    Prado-Prado FJ; García-Mera X; González-Díaz H
    Bioorg Med Chem; 2010 Mar; 18(6):2225-2231. PubMed ID: 20185316
    [TBL] [Abstract][Full Text] [Related]  

  • 8. QSAR for anti-RNA-virus activity, synthesis, and assay of anti-RSV carbonucleosides given a unified representation of spectral moments, quadratic, and topologic indices.
    González-Díaz H; Cruz-Monteagudo M; Viña D; Santana L; Uriarte E; De Clercq E
    Bioorg Med Chem Lett; 2005 Mar; 15(6):1651-7. PubMed ID: 15745816
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unified QSAR & network-based computational chemistry approach to antimicrobials. II. Multiple distance and triadic census analysis of antiparasitic drugs complex networks.
    Prado-Prado FJ; Ubeira FM; Borges F; González-Díaz H
    J Comput Chem; 2010 Jan; 31(1):164-73. PubMed ID: 19421992
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 2D MI-DRAGON: a new predictor for protein-ligands interactions and theoretic-experimental studies of US FDA drug-target network, oxoisoaporphine inhibitors for MAO-A and human parasite proteins.
    Prado-Prado F; García-Mera X; Escobar M; Sobarzo-Sánchez E; Yañez M; Riera-Fernandez P; González-Díaz H
    Eur J Med Chem; 2011 Dec; 46(12):5838-51. PubMed ID: 22005185
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using entropy of drug and protein graphs to predict FDA drug-target network: theoretic-experimental study of MAO inhibitors and hemoglobin peptides from Fasciola hepatica.
    Prado-Prado F; García-Mera X; Abeijón P; Alonso N; Caamaño O; Yáñez M; Gárate T; Mezo M; González-Warleta M; Muiño L; Ubeira FM; González-Díaz H
    Eur J Med Chem; 2011 Apr; 46(4):1074-94. PubMed ID: 21315497
    [TBL] [Abstract][Full Text] [Related]  

  • 12. NL MIND-BEST: a web server for ligands and proteins discovery--theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum.
    González-Díaz H; Prado-Prado F; Sobarzo-Sánchez E; Haddad M; Maurel Chevalley S; Valentin A; Quetin-Leclercq J; Dea-Ayuela MA; Teresa Gomez-Muños M; Munteanu CR; José Torres-Labandeira J; García-Mera X; Tapia RA; Ubeira FM
    J Theor Biol; 2011 May; 276(1):229-49. PubMed ID: 21277861
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Unified QSAR approach to antimicrobials. Part 2: predicting activity against more than 90 different species in order to halt antibacterial resistance.
    Prado-Prado FJ; González-Díaz H; Santana L; Uriarte E
    Bioorg Med Chem; 2007 Jan; 15(2):897-902. PubMed ID: 17084086
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Simple stochastic fingerprints towards mathematical modeling in biology and medicine 2. Unifying Markov model for drugs side effects.
    Cruz-Monteagudo M; González-Díaz H; Uriarte E
    Bull Math Biol; 2006 Oct; 68(7):1527-54. PubMed ID: 16847720
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: evaluation of different classification model combinations using bond-based linear indices.
    Casañola-Martín GM; Marrero-Ponce Y; Khan MT; Ather A; Sultan S; Torrens F; Rotondo R
    Bioorg Med Chem; 2007 Feb; 15(3):1483-503. PubMed ID: 17110117
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting multiple drugs side effects with a general drug-target interaction thermodynamic Markov model.
    González-Díaz H; Cruz-Monteagudo M; Molina R; Tenorio E; Uriarte E
    Bioorg Med Chem; 2005 Feb; 13(4):1119-29. PubMed ID: 15670920
    [TBL] [Abstract][Full Text] [Related]  

  • 18. HP-Lattice QSAR for dynein proteins: experimental proteomics (2D-electrophoresis, mass spectrometry) and theoretic study of a Leishmania infantum sequence.
    Dea-Ayuela MA; Pérez-Castillo Y; Meneses-Marcel A; Ubeira FM; Bolas-Fernández F; Chou KC; González-Díaz H
    Bioorg Med Chem; 2008 Aug; 16(16):7770-6. PubMed ID: 18662882
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dragon method for finding novel tyrosinase inhibitors: Biosilico identification and experimental in vitro assays.
    Casañola-Martín GM; Marrero-Ponce Y; Khan MT; Ather A; Khan KM; Torrens F; Rotondo R
    Eur J Med Chem; 2007; 42(11-12):1370-81. PubMed ID: 17637486
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Probing the anticancer activity of nucleoside analogues: a QSAR model approach using an internally consistent training set.
    Helguera AM; Rodríguez-Borges JE; García-Mera X; Fernández F; Cordeiro MN
    J Med Chem; 2007 Apr; 50(7):1537-45. PubMed ID: 17341060
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.