Results 51 to 60 of about 16,010 (186)
Artificial Intelligence-enabled cheminformatics approaches in Ayurveda-based drug discovery
Ayurveda contains a vast and diverse collection of botanicals, minerals, and classical formulations. Each Ayurvedic medicine often includes multiple components that act together on different biological pathways. This holistic approach naturally fits with
Aviral Apurva, Abhimanyu Kumar
doaj +1 more source
Intelligent design of artificial biocatalyst for biomedical diseases
This review summarizes recent advances in the intelligent design of artificial biocatalysts for biomedical diseases. By leveraging tailored design strategies, including environment‐responsive engineering and rational/artificial intelligence‐aided optimization, these biocatalysts enable precise modulation of pathological microenvironments and targeted ...
Lijie Zhang +3 more
wiley +1 more source
Hydroxamic Acids as HDAC Inhibitor Drug Leads for Malaria
ABSTRACT Malaria is a global health threat, with an estimated 282 million cases and 610,000 malaria‐associated deaths reported in 2024. Most mortality is due to infection by Plasmodium falciparum parasites, with the highest burden occurring in Sub‐Saharan Africa.
Wisam A. Dawood +7 more
wiley +1 more source
Quantitative structure-activity relationship (QSAR) models were useful in understanding how chemical structure relates to the toxicology of chemicals. In the present study, we report quantum molecular descriptors using conductor like screening model (COs)
Ahmad NAZİB ALİAS +1 more
doaj +1 more source
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal +3 more
wiley +1 more source
ABSTRACT Long‐term exposure to low‐dose food contact materials (FCMs) has raised concerns regarding developmental toxicity. In the present study, we prioritized FCMs with potential developmental toxicity using a weight‐of‐evidence computational model, which predicted 127 chemicals to be of high concern.
Chia‐Chi Ho +7 more
wiley +1 more source
Word cloud summary of diverse topics associated with QSAR modeling that are discussed in this review.
Eugene N. Muratov +18 more
openaire +7 more sources
QSAR study by 1,2,4-triazoles using several physicochemical descriptors
A QSAR study on the inhibition of Bacillus subtilis and Salmonella enteritidis by 1,2,4-triazoles using several physicochemical descriptors was performed. The 1,2,4-triazoles consist of 18 derivatives with N1-aryl- or N1- heteroaryl substituted rings and
Vesna Dimova, Nada Perišić-Janjić
doaj +1 more source
Abstract Background A drug designed for a specific target often interacts with multiple targets, either unintentionally or as part of its intended mechanism of action. This has been called pharmacological pleiotropy or polypharmacology. There are key endogenous ligands such as ATP, GABA and glutamate that act on various proteins in humans. Furthermore,
Hampus Ljunggren +8 more
wiley +1 more source
Paediatric developmental safety and the ICH E11A extrapolation of safety
British Journal of Clinical Pharmacology, EarlyView.
Gilbert J. Burckart +6 more
wiley +1 more source

