Cargando…

Novel Approach to Classify Plants Based on Metabolite-Content Similarity

Secondary metabolites are bioactive substances with diverse chemical structures. Depending on the ecological environment within which they are living, higher plants use different combinations of secondary metabolites for adaptation (e.g., defense against attacks by herbivores or pathogenic microbes)...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Kang, Abdullah, Azian Azamimi, Huang, Ming, Nishioka, Takaaki, Altaf-Ul-Amin, Md., Kanaya, Shigehiko
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253511/ https://www.ncbi.nlm.nih.gov/pubmed/28164123 http://dx.doi.org/10.1155/2017/5296729

Ejemplares similares

Development and Mining of a Volatile Organic Compound Database
por: Abdullah, Azian Azamimi, et al.
Publicado: (2015)

Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network
por: Karim, Mohammad Bozlul, et al.
Publicado: (2022)

Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier
por: Nasution, Ahmad Kamal, et al.
Publicado: (2022)

Divergence of metabolites in three phylogenetically close Monascus species (M. pilosus, M. ruber, and M. purpureus) based on secondary metabolite biosynthetic gene clusters
por: Higa, Yuki, et al.
Publicado: (2020)

Recent Trends in Computational Biomedical Research
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2021)

An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2014)

Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines
por: Wijaya, Sony Hartono, et al.
Publicado: (2016)

Metabolomics approach for determining growth-specific metabolites based on Fourier transform ion cyclotron resonance mass spectrometry
por: Takahashi, Hiroki, et al.
Publicado: (2008)

Discovery of inflammatory bowel disease-associated miRNAs using a novel bipartite clustering approach
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2020)

Comprehensive Exploration of Target‐specific Ligands Using a Graph Convolution Neural Network
por: Miyazaki, Yu, et al.
Publicado: (2019)

Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning
por: Koge, Daiki, et al.
Publicado: (2020)

A Glimpse to Background and Characteristics of Major Molecular Biological Networks
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2015)

Kinematics approach with neural networks for early detection of sepsis (KANNEDS)
por: Cruz, Márcio Freire, et al.
Publicado: (2021)

Identification of Targeted Proteins by Jamu Formulas for Different Efficacies Using Machine Learning Approach
por: Wijaya, Sony Hartono, et al.
Publicado: (2021)

Development and implementation of an algorithm for detection of protein complexes in large interaction networks
por: Altaf-Ul-Amin, Md, et al.
Publicado: (2006)

Integration of Residue Attributes for Sequence Diversity Characterization of Terpenoid Enzymes
por: Kibinge, Nelson, et al.
Publicado: (2014)

Systems Biology in the Context of Big Data and Networks
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2014)

Big Data and Network Biology
por: Kanaya, Shigehiko, et al.
Publicado: (2014)

Big Data and Network Biology 2016
por: Kanaya, Shigehiko, et al.
Publicado: (2017)

Big Data and Network Biology 2015
por: Kanaya, Shigehiko, et al.
Publicado: (2015)

Deep Learning Approach for Predicting the Therapeutic Usages of Unani Formulas towards Finding Essential Compounds
por: Wijaya, Sony Hartono, et al.
Publicado: (2023)

Development of a biomarker database toward performing disease classification and finding disease interrelations
por: Hossain, Shaikh Farhad, et al.
Publicado: (2021)

An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease
por: Eguchi, Ryohei, et al.
Publicado: (2018)

Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach
por: Harun, Sarahani, et al.
Publicado: (2021)

A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement
por: Kido, Koshiro, et al.
Publicado: (2019)

Chemoinformatics-driven classification of Angiosperms using sulfur-containing compounds and machine learning algorithm
por: Abdullah-Zawawi, Muhammad-Redha, et al.
Publicado: (2022)

Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks
por: Antonio, Victor Andrew A., et al.
Publicado: (2018)

Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks
por: Eguchi, Ryohei, et al.
Publicado: (2019)

On QSAR-based cardiotoxicity modeling with the expressiveness-enhanced graph learning model and dual-threshold scheme
por: Wang, Huijia, et al.
Publicado: (2023)

Discussion of Cuffless Blood Pressure Prediction Using Plethysmograph Based on a Longitudinal Experiment: Is the Individual Model Necessary?
por: Kido, Koshiro, et al.
Publicado: (2021)

Supervised Clustering Based on DPClusO: Prediction of Plant-Disease Relations Using Jamu Formulas of KNApSAcK Database
por: Wijaya, Sony Hartono, et al.
Publicado: (2014)

The entire organization of transcription units on the Bacillus subtilis genome
por: Kobayashi, Hirokazu, et al.
Publicado: (2007)

PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from H-Invitational protein-protein interactions integrative dataset
por: Kikugawa, Shingo, et al.
Publicado: (2012)

Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology
por: Afendi, Farit M., et al.
Publicado: (2013)

A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2021)

Detecting and classifying online health misinformation with ‘Content Similarity Measure (CSM)’ algorithm: an automated fact-checking-based approach
por: Barve, Yashoda, et al.
Publicado: (2023)

A Real-Time Portable IoT System for Telework Tracking
por: Zhang, Yongxin, et al.
Publicado: (2021)

A training pipeline of an arrhythmia classifier for atrial fibrillation detection using Photoplethysmography signal
por: Kudo, Sota, et al.
Publicado: (2023)

A Classifier-based approach to identify genetic similarities between diseases
por: Schaub, Marc A., et al.
Publicado: (2009)

Understanding and Classifying Metabolite Space and Metabolite-Likeness
por: Peironcely, Julio E., et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_56j2cgb45aj0k2c7lq3mmc69ag