[HTML][HTML] Artificial intelligence in pharmaceutical sciences
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …
impacts the pharmaceutical market. However, investments in a new drug often go …
Application of machine learning in spatial proteomics
Spatial proteomics is an interdisciplinary field that investigates the localization and dynamics
of proteins, and it has gained extensive attention in recent years, especially the subcellular …
of proteins, and it has gained extensive attention in recent years, especially the subcellular …
DrugMAP: molecular atlas and pharma-information of all drugs
The efficacy and safety of drugs are widely known to be determined by their interactions with
multiple molecules of pharmacological importance, and it is therefore essential to …
multiple molecules of pharmacological importance, and it is therefore essential to …
A transformer-based ensemble framework for the prediction of protein–protein interaction sites
The identification of protein–protein interaction (PPI) sites is essential in the research of
protein function and the discovery of new drugs. So far, a variety of computational tools …
protein function and the discovery of new drugs. So far, a variety of computational tools …
Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence
J Zaslavsky, P Bannigan, C Allen - Expert Opinion on Drug …, 2023 - Taylor & Francis
Introduction Interest in nanomedicines has surged in recent years due to the critical role they
have played in the COVID-19 pandemic. Nanoformulations can turn promising therapeutic …
have played in the COVID-19 pandemic. Nanoformulations can turn promising therapeutic …
Computational insights into the cross-talk between medin and Aβ: implications for age-related vascular risk factors in Alzheimer's disease
The aggregation of medin forming aortic medial amyloid is linked to arterial wall
degeneration and cerebrovascular dysfunction. Elevated levels of arteriolar medin are …
degeneration and cerebrovascular dysfunction. Elevated levels of arteriolar medin are …
Large Language Model-Based Natural Language Encoding Could Be All You Need for Drug Biomedical Association Prediction
Analyzing drug-related interactions in the field of biomedicine has been a critical aspect of
drug discovery and development. While various artificial intelligence (AI)-based tools have …
drug discovery and development. While various artificial intelligence (AI)-based tools have …
Identifying potential drug-target interactions based on ensemble deep learning
L Zhou, Y Wang, L Peng, Z Li, X Luo - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Introduction Drug-target interaction prediction is one important step in drug research and
development. Experimental methods are time consuming and laborious. Methods In this …
development. Experimental methods are time consuming and laborious. Methods In this …
Advances in Artificial Intelligence in Drug Delivery and Development: A Comprehensive Review
Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare
sector, including drug delivery and development. This review explores the current and future …
sector, including drug delivery and development. This review explores the current and future …
Computational model for drug research
This special issue focuses on computational model for drug research regarding drug
bioactivity prediction, drug-related interaction prediction, modelling for immunotherapy and …
bioactivity prediction, drug-related interaction prediction, modelling for immunotherapy and …