Prediction of Anti-inflammatory Plants and Discovery of Their Biomarkers by Machine Learning Algorithms and Metabolomic Studies-Reference-Cited by-同舟云学术

Prediction of Anti-inflammatory Plants and Discovery of Their Biomarkers by Machine Learning Algorithms and Metabolomic Studies

Published:2015-01-23 Issue:06 Volume:81 Page:450-458
ISSN:0032-0943
Container-title:Planta Medica
language:en
Short-container-title:Planta Med

Author:

Chagas-Paula Daniela¹,Oliveira Tiago¹,Zhang Tong²,Edrada-Ebel RuAngelie²,Da Costa Fernando¹

Affiliation:

1. AsterBioChem Research Team, Laboratory of Pharmacognosy, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil

2. Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, Scotland

Publisher

Georg Thieme Verlag KG

Subject

Organic Chemistry,Complementary and alternative medicine,Drug Discovery,Pharmaceutical Science,Pharmacology,Molecular Medicine,Analytical Chemistry

Link

http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0034-1396206.pdf

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence in metabolomics: a current review;TrAC Trends in Analytical Chemistry;2024-09

2. Metabolomics Unveils Disrupted Pathways in Parkinson’s Disease: Toward Biomarker-Based Diagnosis;ACS Chemical Neuroscience;2024-08-23

3. Potential anti-inflammatory biomarkers from Myrtaceae essential oils revealed by untargeted metabolomics;Natural Product Research;2023-11-24

4. Bioprospecting-based untargeted metabolomics identifies alkaloids as potential anti-inflammatory bioactive markers of Ocotea species (Lauraceae);Phytomedicine;2023-11

5. Anti‐Inflammatory Activity of Lauraceae Plant Species and Prediction Models Based on Their Metabolomics Profiling Data;Chemistry & Biodiversity;2023-08-31