[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 …
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 …
disease state/process), the therapeutic biomarker (ThMAR) has emerged to be very crucial …
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 …
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 …
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
Bioinformatic annotation of protein function is essential but extremely sophisticated, which
asks for extensive efforts to develop effective prediction method. However, the existing …
asks for extensive efforts to develop effective prediction method. However, the existing …
ConSIG: consistent discovery of molecular signature from OMIC data
The discovery of proper molecular signature from OMIC data is indispensable for
determining biological state, physiological condition, disease etiology, and therapeutic …
determining biological state, physiological condition, disease etiology, and therapeutic …
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 …
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 …
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 …
and is an essential therapeutic target for central nervous system (CNS) diseases. The …