AIMC Topic: Biological Products
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The feasibility of developing biomarkers from peripheral blood mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches.
Arthritis research & therapy
Nov 9, 2019
BACKGROUND: The response to treatment for juvenile idiopathic arthritis (JIA) can be staged using clinical features. However, objective laboratory biomarkers of remission are still lacking. In this study, we used machine learning to predict JIA activ...
Antitubercular metabolites from the marine-derived fungus strain MF029.
Natural product research
Sep 6, 2019
During the systematic screening of bioactive compounds from our marine natural product library, crude extract of the marine-derived fungus strain MF029 exhibited moderate bioactivities against , S, methicillin-resistant , and bacillus Calmette-Guér...
Design of Natural-Product-Inspired Multitarget Ligands by Machine Learning.
ChemMedChem
May 16, 2019
A virtual screening protocol based on machine learning models was used to identify mimetics of the natural product (-)-galantamine. This fully automated approach identified eight compounds with bioactivities on at least one of the macromolecular targ...
Large-Scale Screening of Natural Products Transactivating Peroxisome Proliferator-Activated Receptor α Identifies 9S-Hydroxy-10E,12Z,15Z-Octadecatrienoic Acid and Cymarin as Potential Compounds Capable of Increasing Apolipoprotein A-I Transcription in Human Liver Cells.
Lipids
Feb 1, 2019
Increasing apolipoprotein A-I (apoA-I), the predominant protein of high-density lipoprotein (HDL) particles, has favorable effects on atherogenic risk factors. Here, we investigated the effects of peroxisome proliferator-activated receptor α (PPARα) ...
NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules.
Biomolecules
Jan 24, 2019
Natural products (NPs) remain the most prolific resource for the development of smallmolecule drugs. Here we report a new machine learning approach that allows the identification of natural products with high accuracy. The method also generates simil...
Peptide Extract from Exhibits Broad-Spectrum Antibacterial Activity.
BioMed research international
Dec 23, 2018
Increasing reports of infectious diseases worldwide have become a global concern in recent times. Depleted antibiotic pipelines, rapid and complex cases of antimicrobial resistance, and emergence and re-emergence of infectious disease have necessitat...
Predictive classifier models built from natural products with antimalarial bioactivity using machine learning approach.
PloS one
Sep 28, 2018
In view of the vast number of natural products with potential antiplasmodial bioactivity and cost of conducting antiplasmodial bioactivity assays, it may be judicious to learn from previous antiplasmodial bioassays and predict bioactivity of these na...
Inhibition of in vitro trichothecenes production by microalgae phenolic extracts.
Food research international (Ottawa, Ont.)
Jul 5, 2018
There is evidence that microalgae phenolic compounds can inhibit the growth of toxigenic fungi. This study aimed to evaluate the ability of microalgae phenolic extracts to inhibit trichothecene production by Fusarium genus and thereby identify parame...
Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.
Journal of biomedical semantics
May 9, 2018
BACKGROUND: Prompted by the frequency of concomitant use of prescription drugs with natural products, and the lack of knowledge regarding the impact of pharmacokinetic-based natural product-drug interactions (PK-NPDIs), the United States National Cen...
Advances in industrial biopharmaceutical batch process monitoring: Machine-learning methods for small data problems.
Biotechnology and bioengineering
Apr 23, 2018
Biopharmaceutical manufacturing comprises of multiple distinct processing steps that require effective and efficient monitoring of many variables simultaneously in real-time. The state-of-the-art real-time multivariate statistical batch process monit...
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