[HTML][HTML] Artificial intelligence in pharmaceutical sciences

M Lu, J Yin, Q Zhu, G Lin, M Mou, F Liu, Z Pan, N You… - Engineering, 2023 - Elsevier
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …

Application of artificial intelligence in drug design: A review

S Singh, N Kaur, A Gehlot - Computers in Biology and Medicine, 2024 - Elsevier
Artificial intelligence (AI) is a field of computer science that involves acquiring information,
developing rule bases, and mimicking human behaviour. The fundamental concept behind …

DrugMAP: molecular atlas and pharma-information of all drugs

F Li, J Yin, M Lu, M Mou, Z Li, Z Zeng, Y Tan… - Nucleic acids …, 2023 - academic.oup.com
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 …

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 …

VARIDT 3.0: the phenotypic and regulatory variability of drug transporter

J Yin, Z Chen, N You, F Li, H Zhang, J Xue… - Nucleic acids …, 2024 - academic.oup.com
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 …

Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analyses

Y Gao, G Zhang, S Jiang, YX Liu - Imeta, 2024 - Wiley Online Library
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 …

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 …

SYNBIP 2.0: epitopes mapping, sequence expansion and scaffolds discovery for synthetic binding protein innovation

Y Li, F Li, Z Duan, R Liu, W Jiao, H Wu… - Nucleic Acids …, 2025 - academic.oup.com
Synthetic binding proteins (SBPs) represent a pivotal class of artificially engineered proteins,
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 …

Application of machine learning in spatial proteomics

M Mou, Z Pan, M Lu, H Sun, Y Wang… - Journal of Chemical …, 2022 - ACS Publications
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 …