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SABOR DEL JAMON CURADO: GENERACION DE DI Y TRIPEPTIDOS DURANTE EL PROCESO, SU CONTRIBUCION AL SABOR Y POSIBLES EFECTOS DE SU OXIDACION

AGL2017-89381-R

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Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de I+D+i Orientado a los Retos de la Sociedad
Convocatoria Proyectos I+D+i Retos de Investigación
Año convocatoria 2017
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020
Centro beneficiario AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS (CSIC)

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Resultados totales (Incluyendo duplicados): 2
Encontrada(s) 1 página(s)

Set de datos (Dataset). 2020

Data on bioactive peptides derived from chicken hydrolysate with potential alcohol dehydrogenase stabilizing activity and in silico analysis of their potential activity and applicability

DIGITAL.CSIC. Repositorio Institucional del CSIC
  • Xiao, C.
  • Zhao, M.
  • Zhou, F.
  • Gallego, Marta
  • Toldrá, Fidel
  • Mora, Leticia
Refers to:
Chuqiao Xiao, Mouming Zhao, Feibai Zhou, Marta Gallego, Jie Gao, Fidel Toldrá, Leticia Mora. Isolation and identification of alcohol dehydrogenase stabilizing peptides from Alcalase digested chicken breast hydrolysates. Journal of Functional Foods 64:103617 (2020), Bioactive peptides have attracted extensive attention worldwide as natural alternatives to promote human health and wellness. Previous studies have shown that chicken hydrolysates could enhance alcohol dehydrogenase, and subsequently they facilitate alcohol metabolism and ameliorate alcohol-induced liver injury. The data presented in this article support the accompanying research article “Isolation and identification of alcohol dehydrogenase stabilizing peptides from Alcalase digested chicken breast hydrolysates”. Present article details all 82 peptides identified from the most active fractions of chicken hydrolysates, and 154 peptides from in silico digestion of the 82 identified peptides, together with the prediction of their potential bioactivity and applicability using several in silico assays., This work was supported by Grant AGL2017-89381-R and FEDER funds from the Spanish Ministry of Economy, Industry and Competitiveness, the National Natural Science Foundation of China (No. 31701539 and No.31871746) and the Natural Science Foundation of Guangdong Province (No. 2017A030313127). We also thank Ramón y Cajal postdoctoral contract by L.M. and the China Scholarship Council (CSC) research program for providing funding for C. X., Peer reviewed




Set de datos (Dataset). 2020

Peptidomics and proteomics data of oxidised peptides from in vitro gastrointestinal digestion of chicken breast exposed to chlorpyrifos

DIGITAL.CSIC. Repositorio Institucional del CSIC
  • Márquez Lázaro, J.
  • Mora, Leticia
  • Méndez Cuadro, D.
  • Rodríguez Cavallo, E.
  • Toldrá Vilardell, Fidel
To investigate the oxidative effect of CPF on chicken breast proteins, peptidomics and proteomics analysis were used. For this, chicken breast samples were exposed to CPF and subjected to simulated gastrointestinal digestion. The identification of oxidized peptides from digested and undigested proteins were performed by LC MS/MS (nanoESI qQTOF). Prior to mass analyses undigested proteins were trypsinated. Data were analysed using MASCOT and ProteinPilot v 4.5 software. In this study, 90 and 107 oxidized peptides from digested proteins of control and exposed samples were identified, respectively. These peptides corresponding to 12 oxidized proteins. Meanwhile, 260 and 324 oxidized peptides from undigested proteins (control and exposed samples) were identified, which corresponding to 19 and 17 proteins, respectively. Collagen was protein more susceptible to oxidation promoted by chlorpyrifos in digested and undigested proteins. Identification of these oxidized proteins from simulated digestion provides an important insight about the impact of substances like certain veterinary drugs at trace concentrations on the nutritional value of chicken breast meat., Grant AGL2017-89381-R and FEDER funds from the Spanish Ministry of Economy, Industry and Competitiveness, and Ramón y Cajal postdoctoral contract by L.M. are acknowledged. Also COLCIENCIAS and University of Cartagena for financial support (2019 and 2020) to the project Code 1107-711-50102 are acknowledged., Peer reviewed