AIMC Topic: Species Specificity

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Artificial intelligence reveals environmental constraints on colour diversity in insects.

Nature communications Oct 7, 2019
Explaining colour variation among animals at broad geographic scales remains challenging. Here we demonstrate how deep learning-a form of artificial intelligence-can reveal subtle but robust patterns of colour feature variation along an ecological gr...
Temperature Animals Phylogeny Deep Learning Artificial Intelligence Climate Altitude Species Specificity Color Skin Pigmentation Moths Biodiversity Genetic Variation Insecta
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Boosting phosphorylation site prediction with sequence feature-based machine learning.

Proteins Aug 22, 2019
Protein phosphorylation is one of the essential posttranslation modifications playing a vital role in the regulation of many fundamental cellular processes. We propose a LightGBM-based computational approach that uses evolutionary, geometric, sequenc...
Serine Sequence Analysis, Protein Threonine Protein Processing, Post-Translational Proteins Databases, Protein Algorithms Phosphorylation Reproducibility of Results Humans Species Specificity Models, Molecular Animals Machine Learning Tyrosine Computational Biology Protein Conformation Binding Sites
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scGen predicts single-cell perturbation responses.

Nature methods Jul 29, 2019
Accurately modeling cellular response to perturbations is a central goal of computational biology. While such modeling has been based on statistical, mechanistic and machine learning models in specific settings, no generalization of predictions to ph...
Humans Machine Learning Gene Expression Profiling Transcriptome Single-Cell Analysis Mice Computational Biology Algorithms Computer Simulation Animals Leukocytes, Mononuclear Species Specificity Phagocytes
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Insights and approaches using deep learning to classify wildlife.

Scientific reports May 31, 2019
The implementation of intelligent software to identify and classify objects and individuals in visual fields is a technology of growing importance to operatives in many fields, including wildlife conservation and management. To non-experts, the metho...
Species Specificity Computer Graphics Cluster Analysis Biodiversity Ecology Pattern Recognition, Automated Software Algorithms Neural Networks, Computer Reproducibility of Results Animals Animals, Wild Africa Deep Learning Image Processing, Computer-Assisted
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Molecules Autoinducer 2 and cjA and Their Impact on Gene Expression in Campylobacter jejuni.

Journal of molecular microbiology and biotechnology Jan 29, 2019
Quorum sensing is a widespread form of cell-to-cell communication, which is based on the production of signaling molecules known as autoinducers (AIs). The first group contains highly species-specific N-acyl homoserine lactones (N-AHLs), generally kn...
Gene Expression Regulation, Bacterial Homoserine Species Specificity Biofilms Stress, Physiological Bacterial Proteins Quorum Sensing Virulence Factors 4-Butyrolactone Lactones Campylobacter jejuni
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Application of convolutional neural networks for classification of adult mosquitoes in the field.

PloS one Jan 14, 2019
Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus Aedes and have caused several outbreaks in world over the past ten years. Morphological identification of mosquitos is currently restricted due to the small number of ...
Models, Anatomic Arbovirus Infections Humans Culex Neural Networks, Computer Image Processing, Computer-Assisted Female Aedes Animals Machine Learning Species Specificity Male Mosquito Vectors Databases, Factual
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Computational prediction of inter-species relationships through omics data analysis and machine learning.

BMC bioinformatics Nov 20, 2018
BACKGROUND: Antibiotic resistance and its rapid dissemination around the world threaten the efficacy of currently-used medical treatments and call for novel, innovative approaches to manage multi-drug resistant infections. Phage therapy, i.e., the us...
Algorithms Genomics Bacteria Machine Learning Data Analysis Computational Biology Proteins Species Specificity Bacteriophages
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Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task.

Scientific reports Nov 19, 2018
A dataset of liquid chromatography-mass spectrometry measurements of medicinal plant extracts from 74 species was generated and used for training and validating plant species identification algorithms. Various strategies for data handling and feature...
Plants, Medicinal Species Specificity Machine Learning Algorithms Mass Spectrometry Chromatography, Liquid
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Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC.

Journal of theoretical biology Oct 23, 2018
Lysine acetylation is one of the most important types of protein post-translational modifications (PTM) that are widely involved in cellular regulatory processes. To fully understand the regulatory mechanism of acetylation, identification of acetylat...
Acetylation Lysine Binding Sites Prokaryotic Cells Protein Processing, Post-Translational Bacterial Proteins Datasets as Topic Species Specificity Bacteria Computational Biology Support Vector Machine
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Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

American journal of physiology. Renal physiology Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Mice, Transgenic Diagnosis, Computer-Assisted Rats Humans Disease Models, Animal Machine Learning Mice, Inbred C57BL Female Kidney Glomerulus Software Kidney Diseases Image Interpretation, Computer-Assisted Microscopy Automation, Laboratory Predictive Value of Tests Pattern Recognition, Automated Reproducibility of Results Phenotype Biopsy Species Specificity Animals Workflow Male
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