José Cristián Salgado Herrera

José Cristián Salgado Herrera

  • Grado máximo: Ph.D en Ingeniería Química, Universidad de Chile
  • Jerarquía: Profesor Asistente
  • Área de investigación: Modelación y control de procesos, Modelamiento matemático de Sistemas Biológicos, Bioinformática, Modelación computacional, Biología Computacional y Biología de Sistemas
  • Email: jsalgado@ing.uchile.cl

Publicaciones


  1. C. Celis-Barros, L. Saavedra-Rivas, J.C. Salgado, B.K. Cassels, G. Zapata-Torres (2015) “Molecular dynamics simulation of halogen bonding mimics experimental data for cathepsin L inhibition” Journal of Computer-Aided Molecular Design, 29(1), 37-46. ISSN: 0920-654X. Factor de impacto 2.782.

  2. C. Celis-Barros, L. Saavedra-Rivas, J.C. Salgado, B.K. Cassels, G. Zapata-Torres, Molecular dynamics simulation of halogen bonding mimics experimental data for cathepsin L inhibition, Journal of Computer-Aided Molecular Design, DOI 10.1007/s10822-014-9802-7 (2014).

  3. G. Zapata-Torres, A. Fierro-Huerta, S. Miranda-Rojas, C. Guajardo, P. Saez-Briones, J.C. Salgado, C. Celis-Barros, Influence of Protonation on Substrate and Inhibitor Interactions at the Active Site of Human Monoamine Oxidase-A, Journal of Chemical Information and Modeling, 52(5):1213-1221, (2012).

  4. K. Flores-Olave, J.C. Salgado, G. Zapata-Torres, M.J. Gonzalez, M.A. Hermoso. “Effect of the electrostatic potential on the internalization mechanism of cell penetrating peptides”. Biotechnology and Bioprocess Engineering Journal, 17:485, (2012)

  5. M.E. Lienqueo, A. Mahn, J.C. Salgado, C. Shene. “Mathematical Modeling of Protein Chromatograms”. Chemical Engineering & Technology, 35:46 (2012).

  6. J.C. Salgado, A. Olivera, Z.P. Gerdtzen , V. Tapia , E. C. Theil, C. Conca , M.T. Nuñez. “Mathematical modeling of the dynamic storage of iron in ferritin”. BMC Systems Biology, 4: 147, (2010).

  7. M.E. Lienqueo, C.Shene, A. Quiroz, O.Salazar, J.C. Salgado, J.A. Asenjo. ”Experimental validation of the predictions of a mathematical model for protein purification and tag selection”. Separation Science and Technology, 45: 2153, (2010).

  8. Z.P. Gerdtzen, J.C. Salgado, A. Osses, J.A. Asenjo, I. Rapaport, B.A. Andrews. “Modeling heterocyst pattern fomation in cyanobacteria”. BMC Bioinformatics,10 (Suppl 6) S16, (2009).

  9. A. Mahn, M.E. Lienqueo, J.C. Salgado. “Methods of calculating protein hydrophobicity and their application in developing correlations to predict hydrophobic interaction chromatography retention”. Journal of Chromatography A, 1216: 1838, (2009).

  10. M.E. Lienqueo, J.C. Salgado, O. Giaverini, J.A. Asenjo. “Computer-aided design to select optimal polypeptide tags to assist the purification of recombinant proteins”. Journal of Separations and Purification Technology, 65: 86, (2009).

  11. J.C. Salgado, B.A. Andrews, M.F. Ortuzar, J.A. Asenjo. “Prediction of partition coefficient of proteins in aqueous two-phase systems using only their amino acid composition”. Journal of Chromatography A, 1178:134-144, (2008).

  12. M.E. Lienqueo, A. Mahn, J.C. Salgado, J.A. Asenjo. “Current insights on the protein behaviour on hydrophobic interaction chromatography”. Journal of Chromatography B, 849 (1-2): 53-68, (2007).

  13. M.E. Lienqueo, A. Mahn, G. Navarro, T.Perez-Acle, J.C. Salgado, I. Rapaport, J.A. Asenjo, New approaches for predicting protein retention time in hydrophobic interaction chromatography, Journal of Molecular Recognition., 19: 260-269, (2006).

  14. J.C. Salgado, I. Rapaport, J.A. Asenjo, Predicting the behaviour of proteins in hydrophobic interaction chromatography 2. Using a statistical description of their surface amino acid distribution, Journal of Chromatography A, 1107: 120-129, (2006).

  15. J.C. Salgado, I. Rapaport, J.A. Asenjo, Predicting the behaviour of proteins in hydrophobic interaction chromatography 1: Using the hydrophobic imbalance (HI) to describe their surface amino acid distribution, Journal of Chromatography A, 1107: 110-119, (2006).

  16. J.C. Salgado, I. Rapaport, J.A. Asenjo, Prediction of retention times of proteins in hydrophobic interaction chromatography using only their amino acid composition, Journal of Chromatography A, 1098: 44–54, (2005).

  17. J.C. Salgado, I. Rapaport, J.A. Asenjo, Is it possible to predict the average surface hydrophobicity of a protein using only its amino acid composition?, Journal of Chromatography A, 1075: 133–143, (2005).

  18. Zapata-Torres G, Opazo F, Salgado C, Munoz JP, Krautwurst H, Mascayano C, Sepulveda-Boza S, Maccioni RB, Cassels BK., Effects of natural flavones and flavonols on the kinase activity of Cdk5 , Journal of Natural Products, 67(3): 416-420, (2004).

  19. M.E. Lienqueo, J.C. Salgado, and J.A. Asenjo, An Expert System for selection of Protein Purification Processes: Experimental Validation, Journal of Chemical Technology & Biotechnology, 74(3): 293-299, (1999).


Proyectos


  1. 2014 – 2019: Financiamiento Basal de Centros Científicos y Tecnológicos de Excelencia para la creación del CENTRO DE BIOTECNOLOGIA Y BIOINGENIERÍA.Comisión Nacional de lnvestigación Cientifica y Técnológica CONICYT. Investigador

  2. 2013 – 2016: Proyecto FONDECYT 1130317, “A systems biology approach for studying and understanding cellular processes involved in the regulation of intestinal iron absorption”. Investigador Responsable.

  3. 2012 – 2015: Proyecto FONDECYT 1120280. “Searching for possible deprotonation sites for substrates and inhibitors of human MAO-A”. Co-Investigador.

  4. 2012 – 2014: Programa de Cooperación Científica Internacional Chile-México “Estudio de docking molecular en proteínas pegiladas para el análisis de su comportamiento en cromatografía de intercambio iónico (IEX) e interacción hidrofóbica (HIC)”. Co-Investigador.

  5. 2008 – 2011: Proyecto FONDECYT de Iniciación 11080016. “Mathematical modeling of the interaction between cellpenetrating TIR BB loop decoy peptides (BBPs) and toll-like receptor 4 and 2 (TLR4 and TLR2)”. Investigador Responsable.

  6. 2007 – 2011: Proyecto Instituto Milenio ICM P-05-001-F. “Instituto Milenio de Dinámica Celular y Biotecnología: Un centro de Biología de Sistemas”. Investigador joven.

  7. 2007 – 2008: Proyecto FONDECYT (premio postdoctoral) 3070031 “Prediction of the partitioning behaviour of proteins in aqueous two-phase systems using their three dimensional structure or their amino acid composition”. Se han publicado 3 papers en revistas científicas internacionales (ISI).