Computational approaches to decipher miRNA-target association in Mango (Mangifera indica L.)

MicroRNAs (miRNAs) are short noncoding RNAs that play important roles in regulating gene expressing, and the perturbed miRNAs are often associated with development and tumorigenesis as they have effects on their target mRNA. Predicting potential miRNA-target associations from multiple types of genomic data is a considerable problem in the bioinformatics research. However, most of the existing methods did not fully use the experimentally validated miRNA-mRNA interactions. Here, we developed RMLM and RMLMSe to predict the relationship between miRNAs and their targets. RMLM and RMLMSe are global approaches as they can reconstruct the missing associations for all the miRNA-target simultaneously and RMLMSe demonstrates that the integration of sequence information can improve the performance of RMLM. In RMLM, we use RM measure to evaluate different relatedness between miRNA and its target based on different meta-paths; logistic regression and MLE method are employed to estimate the weight of different meta-paths. In RMLMSe, sequence information is utilized to improve the performance of RMLM. Here, we carry on fivefold cross validation and pathway enrichment analysis to prove the performance of our methods. The fivefold experiments show that our methods have higher AUC scores compared with other methods and the integration of sequence information can improve the performance of miRNA-target association prediction.

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Computational Approaches for Studying Enzyme Mechanism Part A

10.1016/s0076-6879(16)x0008-0 ◽

2016 ◽

Keyword(s):

Enzyme Mechanism ◽

Computational Approaches

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Use of water-soluble polysaccharides from mango (Mangifera indica L.) fruits as alternative source of mutanase inductors

Planta Medica ◽

10.1055/s-0032-1321038 ◽

2012 ◽

Vol 78 (11) ◽

Author(s):

A Wiater ◽

K Próchniak ◽

M Janczarek ◽

M Pleszczyńska ◽

M Tomczyk ◽

...

Keyword(s):

Mangifera Indica ◽

Water Soluble ◽

Alternative Source

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Antimicrobial Activity of the Seed Kernel and Leaf Extracts of Mangifera indica L. (Fam. Anacardiaceae) Against Escherichia coli

Planta Medica ◽

10.1055/s-0033-1336527 ◽

2013 ◽

Vol 79 (05) ◽

Author(s):

ADC Abergas ◽

MCQ Aleria ◽

ZJS Alimagno ◽

KNC Batac ◽

AFM De Lara ◽

...

Keyword(s):

Escherichia Coli ◽

Antimicrobial Activity ◽

Mangifera Indica ◽

Seed Kernel ◽

Leaf Extracts

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Antibacterial activity of wood vinegars from Tamarindus indica, Mangifera indica and Azadirachta indica

10.1055/s-0039-3399954 ◽

2019 ◽

Author(s):

P Kupittayanant ◽

P Lohtongkam

Keyword(s):

Antibacterial Activity ◽

Azadirachta Indica ◽

Mangifera Indica ◽

Tamarindus Indica

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‘Ataulfo diamante’, ‘Zafiro’ y ‘Citlalli’: nuevas selecciones de mango (Mangifera Indica L.)

RECUBRIMIENTO COMESTIBLE CON BASE DE PIÑON MEXICANO (Jatropha curcas) SOBRE LA CALIDAD DE CHAYOTE MINIMAMENTE PROCESADO ◽

10.32854/agrop.v0i0.355 ◽

2019 ◽

Vol 12 (3) ◽

Author(s):

Carlos Avendaño-Arrazate ◽

Víctor Palacio-Martínez

Keyword(s):

Mangifera Indica

Objetivo: Caracterizar y evaluar las selecciones Ataulfo diamante’, ‘Zafiro’ y ‘Citlalli’ de mango (Mangifera indica L.), obtenidas en el programa de mejoramiento genético de mango en el Campo Experimental Rosario Izapa del INIFAP.Diseño/metodología/aproximación: Se realizó la caracterización morfológica de acuerdo a los descriptores propuestos por la UPOV. Se evaluó el comportamiento agronómico de los clones, y con los resultados de las variables se aplicó un análisis de varianza y una comparación de medias de acuerdo a Tukey con un a=0.05.Resultados: Se encontraron diferencias morfológicas entre los clones caracterizados y evaluados; las diferencias fueron en morfología del fruto, sabor y rendimiento.Limitaciones del estudio/implicaciones: El potencial productivo y la calidad de los clones de mango estará en función del manejo en campo y postcosecha que reciban los frutos.Hallazgos/conclusiones: Los clones ‘Citlalli’, ‘Ataulfo Diamante’ y ‘Ataulfo Elite’ presentan características productivas de alto potencial y registran calidad para ser considerados en programas de mejora de la productividad del cultivo en la región del Soconusco, Chiapas, México.

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