[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 …

TheMarker: a comprehensive database of therapeutic biomarkers

Y Zhang, Y Zhou, Y Zhou, X Yu, X Shen… - Nucleic Acids …, 2024 - academic.oup.com
Distinct from the traditional diagnostic/prognostic biomarker (adopted as the indicator of
disease state/process), the therapeutic biomarker (ThMAR) has emerged to be very crucial …

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 …

Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications

H He, H Duo, Y Hao, X Zhang, X Zhou, Y Zeng… - Computers in biology …, 2023 - Elsevier
De novo drug development is an extremely complex, time-consuming and costly task.
Urgent needs for therapies of various diseases have greatly accelerated searches for more …

PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods

W Xia, L Zheng, J Fang, F Li, Y Zhou, Z Zeng… - Computers in Biology …, 2022 - Elsevier
Bioinformatic annotation of protein function is essential but extremely sophisticated, which
asks for extensive efforts to develop effective prediction method. However, the existing …

ConSIG: consistent discovery of molecular signature from OMIC data

F Li, J Yin, M Lu, Q Yang, Z Zeng, B Zhang… - Briefings in …, 2022 - academic.oup.com
The discovery of proper molecular signature from OMIC data is indispensable for
determining biological state, physiological condition, disease etiology, and therapeutic …

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 …

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 …

Structure-based discovery of a novel allosteric inhibitor against human dopamine transporter

S Deng, H Zhang, R Gou, D Luo, Z Liu… - Journal of chemical …, 2023 - ACS Publications
Human dopamine transporter (hDAT) regulates the reuptake of extracellular dopamine (DA)
and is an essential therapeutic target for central nervous system (CNS) diseases. The …