4篇
您的检索式：作者名="Alberto CA"
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| 1 | Regulatory and Functional Connection of Microphthalmia-Associated Transcription Factor and Anti-Metastatic Pigment Epithelium Derived Factor in Melanoma显示文摘 | Asunción Fernández-Barral Jose Luis Orgaz Pablo Baquero Zaheer Ali Alberto Moreno María Tiana Valentí Gómez Erica Riveiro-Falkenbach Carmen Ca?adas Sandra Zazo Corine Bertolotto Irwin Davidson Jose Luis Rodríguez-Peralto Ignacio Palmero Federico Rojo Lass | 2014 | Neoplasia2014，，： | 1 |
| 2 | miR-133a Enhances the Protective Capacity of Cardiac Progenitors Cells after Myocardial Infarction显示文摘 | Alberto Izarra Isabel Moscoso Elif Levent Susana Ca?ón Inmaculada Cerrada Antonio Díez-Juan Vanessa Blanca Iván-J. Nú?ez-Gil I?igo Valiente Amparo Ruíz-Sauri Pilar Sepúlveda Malte Tiburcy Wolfram-H. Zimmermann Antonio Bernad | 2014 | Stem Cell Reports2014，，： | 1 |
| 3 | Antifungal amide from leaves of Piper hispidum显示文摘 | Alberto CA Vanderlan DSB Maria CMY | 1998 | J Nat Prod1998，61，： | 1 |
| 4 | Virtual screening of flavonoids from Jatropha gossypiifolia L.as potential drugs for diabetic complications显示文摘Background:Diabetes mellitus is a chronic metabolic disease that is a risk factor for epidemic pathologies.Under hyperglycemic conditions,the enzyme aldose reductase catalyzes the formation of sorbitol in the metabolism of glucose via polyols,leading to the development of diabetic complications.Therefore,inhibitors of this enzyme are therapeutic targets for the prophylaxis and treatment of these conditions.Methods:In this study,a generalized linear regression model was developed to analyze flavonoids-obtained from a database-that have been tested as inhibitors of aldose reductase.In this sense,the molecular descriptors implemented in DRAGON and MATLAB software were used to determine the correlation between the chemical structure of the inhibitors and their pharmacological activity.The model was validated according to the Organisation for Economic Co-operation and Development Standards and subsequently used for the virtual screening of the flavonoids identified in Jatropha gossypiifolia L.Results:The proposed model showed a good fit for its statistical parameters(R2=0.95).In addition,it showed good predictive power(R2 ext=0.94)and robustness(Q2 LOO=0.92).The experimental chemical space wherein the predictions were reliable(domain of application)was also defined.Finally,the model was used to identify 10 flavonoids from Jatropha gossypiifolia L.as candidates for natural drugs.Compounds with a low probability of oral absorption were identified,among which the elagic acid biflavonoid showed the greatest promise(pIC50 predicted=9.75).Conclusion:The Jatropha gossypiifolia L.species harbors flavonoids with high potential as inhibitors of the aldose reductase enzyme,in which the biflavonoid ellagic acid was shown to be the most promising inhibitor of the aldose reductase enzyme,suggesting its possible use in the treatment of the late complications of diabetes mellitus. | Yudith Cañizares-Carmenate Roberto Díaz-Amador Mirtha Mayra Gonzalez-Bedia Tan Tran Quang Nhat Francisco Torrens Juan Alberto Castillo-Garit | 2022 | Traditional Medicine Research2022，7，2： | 0 |
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