631 to 640 of 896 Results
application/vnd.palm - 27.1 MB -
MD5: 882c896df053c365b150957752e0cb99
Full-length DesK-DesR complex performed by protein-protein docking, using HDOCK server. The DesK His188 was mutated to tyrosine in silico |
Apr 24, 2024 - Facultad de Ciencias Bioquímicas y Farmacéuticas
Torresi, Florencia; Carrillo, Julieta Beatriz; Gomez-Casati, Diego Fabián; Busi, Maria V.; Martín, Mariana, 2024, "Transcription levels of some genes involved in starch metabolism in ChlreSEX4 overexpressing algal lines", https://doi.org/10.57715/UNR/5TSEDO, RDA UNR, V1, UNF:6:bGlHIV4hObAsW7mDFL7Eiw== [fileUNF]
The presented dataset illustrates the transcriptional levels of select genes implicated in starch metabolism within ChlreSEX4 overexpressing algal strains. The analysis of gene expression levels was conducted with the aim of elucidating the impact of upregulating a glucan phospha... |
Apr 24, 2024 -
Transcription levels of some genes involved in starch metabolism in ChlreSEX4 overexpressing algal lines
Tabular Data - 18.8 KB - 18 Variables, 103 Observations - UNF:6:bGlHIV4hObAsW7mDFL7Eiw==
The file displays tables with the relative expression for each studied gene in different algal lines (WT, 13, 24, and 48), with each gene shown in different colors.
The column "SAMPLE NAME" indicates which algal line is being analyzed.
The column "TARGET NAME" indicates which gen... |
Apr 24, 2024 -
Transcription levels of some genes involved in starch metabolism in ChlreSEX4 overexpressing algal lines
Plain Text - 9.8 KB -
MD5: 4681c7ce39772cf1830b9bc4474eb8d8
|
Mar 5, 2024 - Facultad de Ciencias Bioquímicas y Farmacéuticas
Labadie, Guillermo; Ballari, María Sol; Damasceno, Flavia S.; Fargnoli, Lucía; Pagura, Lucas; Cricco, Julia A.; Silber, Ariel M., 2024, "Supplementary data for: Amino Acids metabolism as drug target for anti-trypanosomatids drug discovery", https://doi.org/10.57715/UNR/AXNGVK, RDA UNR, V1
Description: Experimental data on the antiparasitic drug discovery project. New compounds characterization data (NMR, UV-Vis, chemoinformatics data) T. cruzi growing curves (IC50, washout experiments) Cell death experiments (flow cytometry) The present dataset is focused in the o... |
Mar 5, 2024 -
Supplementary data for: Amino Acids metabolism as drug target for anti-trypanosomatids drug discovery
Adobe PDF - 722.7 KB -
MD5: 788733193a5d1ccdd026eba20ae0e960
T cruzi growing curves: effect of the proline analogues on the proliferation of the epimastigote form of T. cruzi
Growth curves, dose response curves, and IC50s obtained for treatments of different strains of T. cruzi epimastigotes with variable concentrations of proline analogu... |
Mar 5, 2024 -
Supplementary data for: Amino Acids metabolism as drug target for anti-trypanosomatids drug discovery
Adobe PDF - 494.9 KB -
MD5: e0f70eccc60536aaffde8227ebd62605
Cell death experiments: cell death analysis for Trypanosoma cruzi epimastigotes.
Analysis of cell death and cell cycle arrest mechanisms on T. cruzi epimastigotes caused by treatment with proline analogues.
To analyse cell death mechanism, T. cruzi, strain CL14 epimastigotes (2... |
Mar 5, 2024 -
Supplementary data for: Amino Acids metabolism as drug target for anti-trypanosomatids drug discovery
Adobe PDF - 3.1 MB -
MD5: af9f6713537b5c3bb1a9edf1aa659f7c
Compounds characterization.
UV-vis characterization of the fluorescent proline analogue 1-NBD, as well as NMR spectral characterization of all final compounds.
Prediction of physicochemical properties of fluorescent analogues was performed using molinspiration platform (http://... |
Feb 7, 2024 - Centro de Estudios Interdisciplinarios en Bibliotecología y Ciencias de la Información CEIBCI
Bongiovani, Paola Carolina, 2024, "Datos de encuesta sobre factores individuales e institucionales que influyen en la intención de compartir datos de investigación en la Universidad Nacional de Rosario", https://doi.org/10.57715/UNR/HLH331, RDA UNR, V1, UNF:6:wPqqmMjZ9XwvqRMxggelaA== [fileUNF]
Se presentan los datos de una encuesta realizada sobre "Datos de Investigación y Repositorios de Datos", durante agosto y septiembre de 2023 en la Universidad Nacional de Rosario (UNR), dirigida a investigadores de la UNR que trabajan en Facultades o en el Consejo de Investigacio... |
Plain Text - 7.2 KB -
MD5: 6231551d8756bd5dfaf48555fd45341f
Archivo README de documetación |