AIMC Topic: Solanum lycopersicum

Clear Filters Showing 71 to 80 of 80 articles

NBSPred: a support vector machine-based high-throughput pipeline for plant resistance protein NBSLRR prediction.

Bioinformatics (Oxford, England)
UNLABELLED: The nucleotide binding site leucine-rich repeats (NBSLRRs) belong to one of the largest known families of disease resistance genes that encode resistance proteins (R-protein) against the pathogens of plants. Various defence mechanisms hav...

DNA-binding protein prediction using plant specific support vector machines: validation and application of a new genome annotation tool.

Nucleic acids research
There are currently 151 plants with draft genomes available but levels of functional annotation for putative protein products are low. Therefore, accurate computational predictions are essential to annotate genomes in the first instance, and to provi...

Modeling of the lycopene extraction from tomato pulps.

Food chemistry
The inputs of this network were the concentration of pectinase and time of incubation, and the outputs were extracted lycopene and the activity of radical scavenging activity. Two different networks were designed for the process under the sonication ...

Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs).

PloS one
There are a large number of tomato cultivars with a wide range of morphological, chemical, nutritional and sensorial characteristics. Many factors are known to affect the nutrient content of tomato cultivars. A complete understanding of the effect of...

Structure and function of Vitis vinifera Arabidopsis Response Regulator 1 (VvARR1) protein provide insights into the regulatory mechanism of grape fruit shape through gibberellin-cytokinin crosstalk.

International journal of biological macromolecules
Grape fruit shape is a crucial agricultural trait that significantly impacts the commercial value of grapes. In this study, we developed a machine learning system to classify grape fruit shapes, offering an objective phenotypic assessment method. Mul...

A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases.

Scientific reports
Modern agriculture increasingly relies on technologies that enhance farmers' efficiency and economic growth. One challenge is the accurate identification of disease-affected plants, whose characteristics like structure, size, texture, and color can v...

Early and late blight disease identification in tomato plants using a neural network-based model to augmenting agricultural productivity.

Science progress
Computer-advanced technologies have a significant impact across various fields. It is widely recognized that diseases have a detrimental effect on crop productivity and can significantly impact the economy, particularly in agricultural countries. Tom...

[Experimental study of APB-DOCK8 transgenic tomato vaccine for caries prevention].

Shanghai kou qiang yi xue = Shanghai journal of stomatology
PURPOSE: To observe the anti-caries effect of transgenic tomato anti-caries vaccine after immunization with SD rats by gavage and to explore its immunity mechanism initially.

Genome-wide cis-decoding for expression design in tomato using cistrome data and explainable deep learning.

The Plant cell
In the evolutionary history of plants, variation in cis-regulatory elements (CREs) resulting in diversification of gene expression has played a central role in driving the evolution of lineage-specific traits. However, it is difficult to predict expr...