277 related articles for article (PubMed ID: 19603824)
1. Prediction of enzyme classes from 3D structure: a general model and examples of experimental-theoretic scoring of peptide mass fingerprints of Leishmania proteins.
Concu R; Dea-Ayuela MA; Perez-Montoto LG; Bolas-Fernández F; Prado-Prado FJ; Podda G; Uriarte E; Ubeira FM; González-Díaz H
J Proteome Res; 2009 Sep; 8(9):4372-82. PubMed ID: 19603824
[TBL] [Abstract][Full Text] [Related]
2. 3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites.
Concu R; Dea-Ayuela MA; Perez-Montoto LG; Prado-Prado FJ; Uriarte E; Bolás-Fernández F; Podda G; Pazos A; Munteanu CR; Ubeira FM; González-Díaz H
Biochim Biophys Acta; 2009 Dec; 1794(12):1784-94. PubMed ID: 19716935
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. QSAR for RNases and theoretic-experimental study of molecular diversity on peptide mass fingerprints of a new Leishmania infantum protein.
González-Díaz H; Dea-Ayuela MA; Pérez-Montoto LG; Prado-Prado FJ; Agüero-Chapín G; Bolas-Fernández F; Vazquez-Padrón RI; Ubeira FM
Mol Divers; 2010 May; 14(2):349-69. PubMed ID: 19578942
[TBL] [Abstract][Full Text] [Related]
5. MISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens.
González-Díaz H; Muíño L; Anadón AM; Romaris F; Prado-Prado FJ; Munteanu CR; Dorado J; Sierra AP; Mezo M; González-Warleta M; Gárate T; Ubeira FM
Mol Biosyst; 2011 Jun; 7(6):1938-55. PubMed ID: 21468430
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices.
Munteanu CR; González-Díaz H; Magalhães AL
J Theor Biol; 2008 Sep; 254(2):476-82. PubMed ID: 18606172
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of proteins from non-model organisms using mass spectrometry: application to a hibernating mammal.
Russeth KP; Higgins L; Andrews MT
J Proteome Res; 2006 Apr; 5(4):829-39. PubMed ID: 16602690
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. Development and assessment of scoring functions for protein identification using PMF data.
Song Z; Chen L; Ganapathy A; Wan XF; Brechenmacher L; Tao N; Emerich D; Stacey G; Xu D
Electrophoresis; 2007 Mar; 28(5):864-70. PubMed ID: 17265538
[TBL] [Abstract][Full Text] [Related]
14. Predicting enzyme class from protein structure without alignments.
Dobson PD; Doig AJ
J Mol Biol; 2005 Jan; 345(1):187-99. PubMed ID: 15567421
[TBL] [Abstract][Full Text] [Related]
15. Efficiency analysis of KNN and minimum distance-based classifiers in enzyme family prediction.
Nasibov E; Kandemir-Cavas C
Comput Biol Chem; 2009 Dec; 33(6):461-4. PubMed ID: 19853514
[TBL] [Abstract][Full Text] [Related]
16. Computational chemistry study of 3D-structure-function relationships for enzymes based on Markov models for protein electrostatic, HINT, and van der Waals potentials.
Concu R; Podda G; Uriarte E; González-Díaz H
J Comput Chem; 2009 Jul; 30(9):1510-20. PubMed ID: 19086060
[TBL] [Abstract][Full Text] [Related]
17. Novel 2D maps and coupling numbers for protein sequences. The first QSAR study of polygalacturonases; isolation and prediction of a novel sequence from Psidium guajava L.
Agüero-Chapin G; González-Díaz H; Molina R; Varona-Santos J; Uriarte E; González-Díaz Y
FEBS Lett; 2006 Feb; 580(3):723-30. PubMed ID: 16413021
[TBL] [Abstract][Full Text] [Related]
18. Including mutations from conceptually translated expressed sequence tags into orthologous proteins improves the preliminary assignment of peptide mass fingerprints on non-model genomes.
Grimplet J; Gaspar JW; Gancel AL; Sauvage FX; Romieu C
Proteomics; 2005 Jul; 5(11):2769-77. PubMed ID: 15996012
[TBL] [Abstract][Full Text] [Related]
19. MMM-QSAR recognition of ribonucleases without alignment: comparison with an HMM model and isolation from Schizosaccharomyces pombe, prediction, and experimental assay of a new sequence.
Agüero-Chapín G; Gonzalez-Díaz H; de la Riva G; Rodríguez E; Sanchez-Rodríguez A; Podda G; Vazquez-Padrón RI
J Chem Inf Model; 2008 Feb; 48(2):434-48. PubMed ID: 18254616
[TBL] [Abstract][Full Text] [Related]
20. Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition.
Cai YD; Zhou GP; Chou KC
J Theor Biol; 2005 May; 234(1):145-9. PubMed ID: 15721043
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]