AIMC Topic: Caenorhabditis elegans Proteins

Clear Filters Showing 1 to 6 of 6 articles

Niuhuang jiedu prescription alleviates realgar-induced dopaminergic and GABAergic neurotoxicity in Caenorhabditis elegans.

Journal of ethnopharmacology Apr 2, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Niuhuang Jiedu (NHJD) is a Chinese medicine prescription containing realgar (AsS), which is neurotoxic, and seven other traditional Chinese medicines (TCMs). However, whether the multiple TCMs contained in NHJD can mit...
GABAergic Neurons Oxidative Stress Arsenicals Neuroprotective Agents Neurotoxicity Syndromes Animals Caenorhabditis elegans Proteins Sulfides Dopaminergic Neurons Animals, Genetically Modified Reactive Oxygen Species Locomotion Behavior, Animal Drugs, Chinese Herbal Caenorhabditis elegans
View on PubMed DOI

A machine learning enhanced EMS mutagenesis probability map for efficient identification of causal mutations in Caenorhabditis elegans.

PLoS genetics Aug 26, 2024
Chemical mutagenesis-driven forward genetic screens are pivotal in unveiling gene functions, yet identifying causal mutations behind phenotypes remains laborious, hindering their high-throughput application. Here, we reveal a non-uniform mutation rat...
Mutagenesis Mutation Rate Mutation Whole Genome Sequencing Chromosome Mapping Kinesins Ethyl Methanesulfonate Caenorhabditis elegans Phenotype Machine Learning Caenorhabditis elegans Proteins Animals
View on PubMed DOI

Cross-Predicting Essential Genes between Two Model Eukaryotic Species Using Machine Learning.

International journal of molecular sciences May 11, 2021
Experimental studies of and have contributed substantially to our understanding of molecular and cellular processes in metazoans at large. Since the publication of their genomes, functional genomic investigations have identified genes that are esse...
Animals Genomics Evolution, Molecular Machine Learning Caenorhabditis elegans Caenorhabditis elegans Proteins Drosophila melanogaster Genes, Essential Gene Ontology Drosophila Proteins
View on PubMed DOI

Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Journal of neurogenetics Aug 19, 2020
Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swimming is exercise for and here we suggest that inactive bouts are a recovery state akin to fatigue. It is known that cGMP-dependent kinase (PKG) acti...
Caenorhabditis elegans Proteins Cyclic GMP-Dependent Protein Kinases Movement Caenorhabditis elegans Genetics, Behavioral Sleep Rest Lab-On-A-Chip Devices Fatigue Swimming Biomechanical Phenomena Physical Exertion Animals Artificial Intelligence Aging Pharynx Escherichia coli
View on PubMed DOI

Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions.

IEEE/ACM transactions on computational biology and bioinformatics Oct 5, 2018
Emerging evidence has shown that RNA plays a crucial role in many cellular processes, and their biological functions are primarily achieved by binding with a variety of proteins. High-throughput biological experiments provide a lot of valuable inform...
Neural Networks, Computer Machine Learning Protein Interaction Mapping Caenorhabditis elegans Proteins RNA-Binding Proteins Algorithms RNA Protein Interaction Maps
View on PubMed DOI

Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples.

IEEE/ACM transactions on computational biology and bioinformatics May 18, 2016
Prediction of compound-protein interactions (CPIs) is to find new compound-protein pairs where a protein is targeted by at least a compound, which is a crucial step in new drug design. Currently, a number of machine learning based methods have been d...
Caenorhabditis elegans Proteins Proteins Pharmaceutical Preparations Computational Biology Humans Protein Interaction Mapping Protein Domains Support Vector Machine Drug Discovery Databases, Protein
View on PubMed DOI
Popular Topics
Recent Journals