Herramientas

BisoGenet

Herramienta que posibilita la búsqueda de datos de interacciones moleculares y relaciones funcionales en torno a un conjunto de genes/proteínas.

 

Isotopica

Cálculo y visualización de la distribución isotópica a partir de fórmulas moleculares o la secuencia de péptidos, proteínas, DNA, RNA y carbohidratos.

 

SysBiomics

Es una aplicacion web que permite el acceso a la informacion de la base de datos SysBiomics que integra los datos de genes, proteinas, interacciones proteinas-proteinas, biological pathways, gene ontology y silenciamiento de genes.

Sitios de Interés

 

 

 

 

 

 

Próximos Eventos

OMICS 2015

 International Meeting on Bioinformatics and Omics. Varadero Beach, Cuba. Oct 27-30.

 

BIG DATA in Biomedicine

Big Data in Biomedicine Conference. Standord, CA, USA. Mayo 20-22, 2015.

 

ISMB/ECCB 2015

23rd Annual  International  Conference  on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology at the Convention Center Dublin. Ireland. July 10-14.

 

 

Para Uso Interno

Artículos que citan BisoGenet

Csermely P., Korcsmáros T., Kiss H., London G. and Nussinov R. Structure and dynamics of molecular networks: A novel paradigm of drug discovery. Pharmacology and Therapeutics, 2013; 138(3). [abstract] [full text].

 

Guillén I., Camacho H., Fernández M., Palenzuela D., Pérez L., Ochagavia M., Ancizar J., Tuero A., Gorovaya L., Mendoza O., Díaz T., Fernández J., Roca J., Cosme K., Guillén G., Herrera L., Berlanga J., Novoa L. Effect of human epidermal growth factor on the tumor cell line A431: in vivo analysis of tumor growth inhibitionand gene expression. Biotecnología Aplicada, 2012; 29:155. [abstract] [full text].

 

Neuhoff N., Oumeraci T., Wolf T., Kollewe K., Bewerunge P., Neumann B., Brors B., Bufler J., Wurster U., Schlegelberger B., Dengler R., Zapatka M., Petri S. Monitoring CSF Proteome Alterations in AmyotrophicLateral Sclerosis: Obstacles and Perspectives inTranslating a Novel Marker Panel to the Clinic. PLoS One, 2012; 7(9). [abstract] [full text].

 

Chae Y., Jin Y., Kim H., Gwon G., Sohn W., Kim S., Kim M., Lee S., Suh Y. and Kim J. Proteome analysis of developing mice diastema region. Biochemistry and Molecurar Biology Reports, 2012. [abstract] [full text].

 

Woods N., Mesquita R., Sweet M., Carvalho M., Li X., Liu Y., Nguyen H., Thomas C., Iversen E., Marsillac S., Karchin R., Koomen J., Monteiro A. Charting the Landscape of Tandem BRCT Domain–Mediated Protein Interactions. Science Signaling, 2012; 5(242). [abstract] [full text].

 

Goyette G., Boulais J., Carruthers N., Landry C., Jutras I., Duclos S., Dermine J., Michnick S., LaBoissière S., Lajoie G., Barreiro L., Thibault P. and Desjardins M. Proteomic characterization of phagosomal membrane microdomains during phagolysosome biogenesis and evolution. Mol Cell Proteomics, 2012; 11(11). [abstract] [full text].

 

Berlanga J., Vázquez D., Cibrián D., Mendoza Y., Ochagavía M., Miranda J., Suárez J., González Y., Vila J., Abreu A., Ugarte D., Cruz Y., Howland I., Coro R., León O., Bringas R., García D., Cosme K., Palenzuela D., Fernández J., Nazabal M., Guillén I., Cintado A., Inés L., López E., Guillén G.Growth Hormone Releasing Peptide 6 (GHRP6) reduces liver fibrosis in CCl4 chronically intoxicated rats. Biotecnología Aplicada, 2012; 29:60-72. [abstract] [full text].

 

Kubrycht J., Sigler K. and Soucek P.Virtual Interactomics of Proteins from Biochemical Standpoint. Mol Biol Int, 2012. [abstract] [full text].

 

Gagne´ J., Pic E., Isabelle I., Krietsch J., Ethier C., Paquet E., Kelly I., Boutin M., Moon K., Foster L. and Poirier G. Quantitative proteomics profiling of the poly(ADP-ribose)-related response to genotoxic stress. Nucleic Acids Research, 2012; 40(16). [abstract] [full text].

 

Marchisio M. In Silico Implementation of Synthetic Gene Networks. Springer Science+Business Media , 2012. [abstract] [full text].

 

Echeverría P., Bernthaler A., Dupuis P., Mayer B., Picard D. An Interaction Network Predicted from Public Data as a Discovery Tool: Application to the Hsp90 Molecular Chaperone Machine. PLoS ONE, 2011; 6(10). [abstract] [full text].

 

Nowick K., Fields C., Gernat T., Caetano D., Kholina N., Stubbs L.Gain, Loss and Divergence in Primate Zinc-Finger Genes: A Rich Resource for Evolution of Gene Regulatory Differences between Species. PLoS ONE, 2011;  6(6). [abstract] [full text].

 

 

Serao N., Delfino K., Southey B., Beever J., Rodriguez-Zas S.Cell cycle and aging, morphogenesis, and response to stimuli genes are individualized biomarkers of glioblastoma progression and survival. BMC Medical Genomics, 2011; 4:49. [abstract] [full text].

 

 

Higareda J.C., Enriquez M., Hernandez M., Resendis O. and Encarnacion S. Proteomic patterns of cervical cancer cell lines, a network perspective. BMC Syst Biol, 2011; 5 : 96. [abstract] [full text].

 

 

Ogba O. Applying the Diversity Map, a Visualization Technique, to the Protein Data Bank. Digital Commons @ Trinity, 2011; 4-20. [abstract] [full text]

 

 

Zhu W., Yang L., Du Z. MicroRNA Regulation and Tissue-Specific Protein Interaction Network. Plos One, 2011; 6(10). [abstract] [full text]

 

 

Tsiliki G., Kossida S. Fusion methodologies for biomedical data. J Proteomics, 2011; 74(12). [abstract] [full text]

 

 

Delfino K., Serâo N., Southey B. and Rodriguez-Zas S. Therapy-, Gender- and Race-specific microRNA Markers, Target Genes and Networks Related to Glioblastoma Recurrence and Survival. Cancer Genomics & Proteomics, 2011; 8(4). [abstract] [full text]

 

 

Zhou R., Hang P., Zhu W., Su Z., Liang H. and Du Z. Whole Genome Network Analysis of Ion Channels and Connexins in Myocardial Infarction. Cell Physiol Biochem , 2011; 27(3-4). [abstract] [full text]

 

 

Reissner K., Uys J., Schwacke J., Comte-Walters S., Rutherford-Bethard J., Dunn T.,Blumer J., Schey K. and Kalivas P. AKAP Signaling in Reinstated Cocaine Seeking Revealed by iTRAQ Proteomic Analysis. The Journal of Neuroscience, 2011; 31(15). [abstract] [full text]

 

 

Park Y., Kim J., Lee H., Yoon Y., Kim J. GOChase-II: correcting semantic inconsistencies from Gene Ontology-based annotations for gene products. BMC Bioinformatics, 2011; [abstract] [full text]

 

 

Chakraborty C., Roy S., Hsu C., Wen Z. and Lin C. Network Building of Proteins in a Biochemical Pathway: A Computational Biology Related Model for Target Discovery and Drug-Design. Current Bioinformatics, 2010; 5(4). [abstract] [full text]

 

 

Pierri C., Parisi G., Porcelli V. Computational approaches for protein function prediction: A combined strategy from multiple sequence alignment to molecular docking-based virtual screening. Biochimica et Biophysica Acta, 2010; 1804(9). [abstract] [full text]