213 related articles for article (PubMed ID: 19631422)
1. 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]
2. 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]
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. Alignment-free prediction of a drug-target complex network based on parameters of drug connectivity and protein sequence of receptors.
Viña D; Uriarte E; Orallo F; González-Díaz H
Mol Pharm; 2009; 6(3):825-35. PubMed ID: 19281186
[TBL] [Abstract][Full Text] [Related]
5. Unified QSAR and network-based computational chemistry approach to antimicrobials, part 1: multispecies activity models for antifungals.
González-Díaz H; Prado-Prado FJ
J Comput Chem; 2008 Mar; 29(4):656-67. PubMed ID: 17999385
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. 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]
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. 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]
12. 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]
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. Ligand-based virtual screening and in silico design of new antimalarial compounds using nonstochastic and stochastic total and atom-type quadratic maps.
Marrero-Ponce Y; Iyarreta-Veitía M; Montero-Torres A; Romero-Zaldivar C; Brandt CA; Avila PE; Kirchgatter K; Machado Y
J Chem Inf Model; 2005; 45(4):1082-100. PubMed ID: 16045304
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae.
González-Díaz H; Prado-Prado F; García-Mera X; Alonso N; Abeijón P; Caamaño O; Yáñez M; Munteanu CR; Pazos A; Dea-Ayuela MA; Gómez-Muñoz MT; Garijo MM; Sansano J; Ubeira FM
J Proteome Res; 2011 Apr; 10(4):1698-718. PubMed ID: 21184613
[TBL] [Abstract][Full Text] [Related]
17. New agents active against Mycobacterium avium complex selected by molecular topology: a virtual screening method.
García-García A; Gálvez J; de Julián-Ortiz JV; García-Domenech R; Muñoz C; Guna R; Borrás R
J Antimicrob Chemother; 2004 Jan; 53(1):65-73. PubMed ID: 14645324
[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. Designing antibacterial compounds through a topological substructural approach.
Molina E; Díaz HG; González MP; Rodríguez E; Uriarte E
J Chem Inf Comput Sci; 2004; 44(2):515-21. PubMed ID: 15032531
[TBL] [Abstract][Full Text] [Related]
20. Quantitative Proteome-Property Relationships (QPPRs). Part 1: finding biomarkers of organic drugs with mean Markov connectivity indices of spiral networks of blood mass spectra.
Cruz-Monteagudo M; Munteanu CR; Borges F; Cordeiro MN; Uriarte E; González-Díaz H
Bioorg Med Chem; 2008 Nov; 16(22):9684-93. PubMed ID: 18951807
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
