AIMC Topic: Chloroplasts

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Increased chloroplast occupancy in bundle sheath cells of rice hap3H mutants revealed by Chloro-Count: a new deep learning-based tool.

The New phytologist Dec 12, 2024
There is an increasing demand to boost photosynthesis in rice to increase yield potential. Chloroplasts are the site of photosynthesis, and increasing their number and size is a potential route to elevate photosynthetic activity. Notably, bundle shea...
Photosynthesis Oryza Mutation Chloroplasts Plant Proteins Plant Leaves Deep Learning
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Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy.

Nature plants Sep 25, 2023
Accurate delineation of plant cell organelles from electron microscope images is essential for understanding subcellular behaviour and function. Here we develop a deep-learning pipeline, called the organelle segmentation network (OrgSegNet), for pixe...
Cell Nucleus Microscopy, Electron Mitochondria Deep Learning Chloroplasts
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ChloroKB: A Web Application for the Integration of Knowledge Related to Chloroplast Metabolic Network.

Plant physiology Apr 25, 2017
Higher plants, as autotrophic organisms, are effective sources of molecules. They hold great promise for metabolic engineering, but the behavior of plant metabolism at the network level is still incompletely described. Although structural models (sto...
Arabidopsis Chloroplasts Subcellular Fractions Internet Metabolic Networks and Pathways Knowledge Bases
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TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins.

Bioinformatics (Oxford, England) Jun 16, 2015
MOTIVATION: Molecular recognition of N-terminal targeting peptides is the most common mechanism controlling the import of nuclear-encoded proteins into mitochondria and chloroplasts. When experimental information is lacking, computational methods can...
Sequence Analysis, Protein Support Vector Machine Chloroplasts Mitochondrial Proteins Protein Transport Eukaryota Chloroplast Proteins Software Mitochondria Machine Learning Peptides
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GRANA: An AI-based tool for accelerating chloroplast grana nanomorphology analysis using hybrid intelligence.

Plant physiology May 30, 2025
Grana are fundamental structural units of the intricate chloroplast membrane network. Investigating their nanomorphology is essential for understanding photosynthetic efficiency regulation. Here, we present GRANA (Graphical Recognition and Analysis o...
Neural Networks, Computer Artificial Intelligence Photosynthesis Thylakoids Chloroplasts Software
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An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods.

Current protein & peptide science Jan 1, 2020
The chloroplast is a type of subcellular organelle of green plants and eukaryotic algae, which plays an important role in the photosynthesis process. Since the function of a protein correlates with its location, knowing its subchloroplast localizatio...
Chloroplast Proteins Chloroplasts Gene Expression Regulation, Plant Amino Acid Sequence Plants Protein Transport Datasets as Topic Proteome Models, Statistical Computational Biology Machine Learning
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SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments.

Bioinformatics (Oxford, England) Feb 1, 2017
MOTIVATION: Chloroplasts are organelles found in plants and involved in several important cell processes. Similarly to other compartments in the cell, chloroplasts have an internal structure comprising several sub-compartments, where different protei...
Sequence Analysis, Protein Protein Transport Viridiplantae Chloroplasts Membrane Proteins Machine Learning Plant Proteins Software Computational Biology
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