AIMC Topic: Plants

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A perspective on plant robotics: from bioinspiration to hybrid systems.

Bioinspiration & biomimetics
As miscellaneous as the Plant Kingdom is, correspondingly diverse are the opportunities for taking inspiration from plants for innovations in science and engineering. Especially in robotics, properties like growth, adaptation to environments, ingenio...

Molecular Networking and On-Tissue Chemical Derivatization for Enhanced Identification and Visualization of Steroid Glycosides by MALDI Mass Spectrometry Imaging.

Analytical chemistry
Spatial metabolomics describes the spatially resolved analysis of interconnected pathways, biochemical reactions, and transport processes of small molecules in the spatial context of tissues and cells. However, a broad range of metabolite classes (e....

PINC: A Tool for Non-Coding RNA Identification in Plants Based on an Automated Machine Learning Framework.

International journal of molecular sciences
There is evidence that non-coding RNAs play significant roles in the regulation of nutrient homeostasis, development, and stress responses in plants. Accurate identification of ncRNAs is the first step in determining their function. While a number of...

DeepPlnc: Bi-modal deep learning for highly accurate plant lncRNA discovery.

Genomics
We present here a bi-modal CNN based deep-learning system, DeepPlnc, to identify plant lncRNAs with high accuracy while using sequence and structural properties. Unlike most of the existing software, it works accurately even in conditions with ambigu...

Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology.

The Plant journal : for cell and molecular biology
Advances in high-throughput omics technologies are leading plant biology research into the era of big data. Machine learning (ML) performs an important role in plant systems biology because of its excellent performance and wide application in the ana...

bHLHDB: A next generation database of basic helix loop helix transcription factors based on deep learning model.

Journal of bioinformatics and computational biology
The basic helix loop helix (bHLH) superfamily is a large and diverse protein family that plays a role in various vital functions in nearly all animals and plants. The bHLH proteins form one of the largest families of transcription factors found in pl...

Micronutrient seed priming: new insights in ameliorating heavy metal stress.

Environmental science and pollution research international
Plants need to survive with changing environmental conditions, be it different accessibility to water or nutrients, or attack by insects or pathogens. Few of these changes, especially heavy metal stress, can become more stressful and needed strong co...

Development of a system for the automated identification of herbarium specimens with high accuracy.

Scientific reports
Herbarium specimens are dried plants mounted onto paper. They are used by a limited number of researchers, such as plant taxonomists, as a source of information on morphology and distribution. Recently, digitised herbarium specimens have begun to be ...

Selective chemical probes can untangle the complexity of the plant cell endomembrane system.

Current opinion in plant biology
The endomembrane system is critical for plant growth and development and understanding its function and regulation is of great interest for plant biology research. Small-molecule targeting distinctive endomembrane components have proven powerful tool...