AIMC Topic: Plants

Clear Filters Showing 141 to 150 of 202 articles

IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.

IEEE/ACM transactions on computational biology and bioinformatics
Proteins carry out their function in a cell through interactions with other proteins. A large scale protein-protein interaction (PPI) network of an organism provides static yet an essential structure of interactions, which is valuable clue for unders...

Superiority of artificial neural networks for a genetic classification procedure.

Genetics and molecular research : GMR
The correct classification of individuals is extremely important for the preservation of genetic variability and for maximization of yield in breeding programs using phenotypic traits and genetic markers. The Fisher and Anderson discriminant function...

Artificial neural networks reveal efficiency in genetic value prediction.

Genetics and molecular research : GMR
The objective of this study was to evaluate the efficiency of artificial neural networks (ANNs) for predicting genetic value in experiments carried out in randomized blocks. Sixteen scenarios were simulated with different values of heritability (10, ...

Construction of an ortholog database using the semantic web technology for integrative analysis of genomic data.

PloS one
Recently, various types of biological data, including genomic sequences, have been rapidly accumulating. To discover biological knowledge from such growing heterogeneous data, a flexible framework for data integration is necessary. Ortholog informati...

Bioinformatics insights into plant genomic imprinting: approaches, challenges, and future perspectives.

Briefings in functional genomics
Genomic imprinting is an epigenetic occurrence that results in the expression of alleles specific to the parent of origin, plays pivotal roles in plant development, stress adaptation, and agronomic trait regulation. While imprinting has been intensiv...

Harnessing chemical communication in plant-microbiome and intra-microbiome interactions.

Journal of Zhejiang University. Science. B
Chemical communication in plant-microbiome and intra-microbiome interactions weaves a complex network, critically shaping ecosystem stability and agricultural productivity. This non-contact interaction is driven by small-molecule signals that orchest...

Unlocking the metabolic potential of endophytic fungi through epigenetics: a paradigm shift for natural product discovery and plant-microbe interactions.

Natural product reports
Covering: up to December 2024Microbial metabolic pathways, including those of endophytic fungi, offer significant potential for synthesizing secondary metabolites, regardless of their ecological niche. These pathways can be modulated at the molecular...

Intelligent transformation of ultrasound-assisted novel solvent extraction plant active ingredients: Tools for machine learning and deep learning.

Food chemistry
Ultrasound-assisted novel solvent extraction enhances plant bioactive compound yield via cavitation, mechanical, and thermal mechanisms. However, the high designability of novel solvents, the multiple influence factors for extracting results, the com...

Investigating plant morphogenesis using 3D digital organs.

Journal of experimental botany
How plant organs acquire their three-dimensional (3D) size and shape remains a prominent question in plant biology. Central questions revolve around how differential gene activity influences the growth of individual cell assemblies and how such growt...

A critical review on occurrence, speciation, mobilization, and toxicity of per- and polyfluoroalkyl substances in the soil-microbe-plant system and bioremediation strategies.

Journal of hazardous materials
Per- and polyfluoroalkyl substances (PFAS) are a group of recalcitrant anthropogenic compounds that are extensively utilized for numerous industrial applications globally. Despite such vast utilization, PFAS accumulation in the soils and sediments wi...