[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 artificial intelligence in drug design: A review
Artificial intelligence (AI) is a field of computer science that involves acquiring information,
developing rule bases, and mimicking human behaviour. The fundamental concept behind …
developing rule bases, and mimicking human behaviour. The fundamental concept behind …
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 …
DRESIS: the first comprehensive landscape of drug resistance information
X Sun, Y Zhang, H Li, Y Zhou, S Shi… - Nucleic acids …, 2023 - academic.oup.com
Widespread drug resistance has become the key issue in global healthcare. Extensive
efforts have been made to reveal not only diverse diseases experiencing drug resistance …
efforts have been made to reveal not only diverse diseases experiencing drug resistance …
VARIDT 3.0: the phenotypic and regulatory variability of drug transporter
The phenotypic and regulatory variability of drug transporter (DT) are vital for the
understanding of drug responses, drug-drug interactions, multidrug resistances, and so on …
understanding of drug responses, drug-drug interactions, multidrug resistances, and so on …
Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analyses
The increasing application of meta‐omics approaches to investigate the structure, function,
and intercellular interactions of microbial communities has led to a surge in available data …
and intercellular interactions of microbial communities has led to a surge in available data …
LargeMetabo: an out-of-the-box tool for processing and analyzing large-scale metabolomic data
Q Yang, B Li, P Wang, J Xie, Y Feng… - Briefings in …, 2022 - academic.oup.com
Large-scale metabolomics is a powerful technique that has attracted widespread attention in
biomedical studies focused on identifying biomarkers and interpreting the mechanisms of …
biomedical studies focused on identifying biomarkers and interpreting the mechanisms of …
SYNBIP 2.0: epitopes mapping, sequence expansion and scaffolds discovery for synthetic binding protein innovation
Synthetic binding proteins (SBPs) represent a pivotal class of artificially engineered proteins,
meticulously crafted to exhibit targeted binding properties and specific functions. Here, the …
meticulously crafted to exhibit targeted binding properties and specific functions. Here, the …
CovInter: interaction data between coronavirus RNAs and host proteins
K Amahong, W Zhang, Y Zhou, S Zhang… - Nucleic Acids …, 2023 - academic.oup.com
Coronavirus has brought about three massive outbreaks in the past two decades. Each step
of its life cycle invariably depends on the interactions among virus and host molecules. The …
of its life cycle invariably depends on the interactions among virus and host molecules. The …
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 …