Qsar in natural non-peptidic food-related compounds: current status and future perspective

Y Zhao, Y Xia, Y Yu, G Liang - Trends in Food Science & Technology, 2023 - Elsevier
Background Bioactive factors in functional foods play a crucial role in performing their
specific functions. These factors have their own specific physical and chemical properties …

Advances, opportunities, and challenges in methods for interrogating the structure activity relationships of natural products

CMF Ancajas, AS Oyedele, CM Butt… - Natural Product …, 2024 - pubs.rsc.org
Time span in literature: 1985-early 2024Natural products play a key role in drug discovery,
both as a direct source of drugs and as a starting point for the development of synthetic …

Unlocking the potential of clustering and classification approaches: navigating supervised and unsupervised chemical similarity

K Mansouri, K Taylor, S Auerbach… - Environmental …, 2024 - ehp.niehs.nih.gov
Background: The field of toxicology has witnessed substantial advancements in recent
years, particularly with the adoption of new approach methodologies (NAMs) to understand …

Collaborative SAR modeling and prospective in vitro validation of oxidative stress activation in human HepG2 cells

OJM Béquignon, JC Gómez-Tamayo… - Journal of chemical …, 2023 - ACS Publications
Oxidative stress is the consequence of an abnormal increase of reactive oxygen species
(ROS). ROS are generated mainly during the metabolism in both normal and pathological …

[HTML][HTML] Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors

AI Odugbemi, C Nyirenda, A Christoffels… - Computational and …, 2024 - Elsevier
Artificial Intelligence is transforming drug discovery, particularly in the hit identification phase
of therapeutic compounds. One tool that has been instrumental in this transformation is …

[HTML][HTML] Three-Dimensional Quantitative Structure–Activity Relationship Study of Transient Receptor Potential Vanilloid 1 Channel Antagonists Reveals Potential for …

B Gianibbi, A Visibelli, G Spinsanti, O Spiga - International Journal of …, 2024 - mdpi.com
Transient receptor potential vanilloid 1 (TRPV1) was reported to be a putative target for
recovery from chronic pain, producing analgesic effects after its inhibition. A series of drug …

[HTML][HTML] Potential dual inhibitors of Hexokinases and mitochondrial complex I discovered through machine learning approach

A Ibezim, E Onah, SC Osigwe, PU Okoroafor… - Scientific African, 2024 - Elsevier
Hexokinases (Hks) and mitochondrial complex I (MCI) are involved in the energy
metabolism of cells; glycolysis/fermentation and oxidative phosphorylation. Both Hks and …

Machine Learning Prediction of Intestinal α-Glucosidase Inhibitors Using a Diverse Set of Ligands: A Drug Repurposing Effort with DrugBank Database Screening

AI Odugbemi, C Nyirenda, A Christoffels, SA Egieyeh - 2024 - researchsquare.com
The global rise in diabetes mellitus (DM) poses a significant health challenge, necessitating
effective therapeutic interventions. α-Glucosidase inhibitors play a crucial role in managing …

[PDF][PDF] A rational control of molecular properties to discover new oral drugs in the beyond-Rule-of-5 (bRo5) chemical space

D GARCÍA JIMÉNEZ - 2024 - iris.unito.it
First and foremost, I am deeply grateful to my PhD supervisor, Giulia Caron, for the
invaluable opportunity and support provided during this academic journey. From the day I …

StreaMD: the toolkit for high-throughput molecular dynamics simulations

A Ivanova, O Mokshyna, P Polishchuk - 2024 - chemrxiv.org
Molecular dynamics simulations serve as a prevalent approach for investigating the dynamic
behaviour of proteins and protein-ligand complexes. Due to its versatility and speed …