The miRNA: a small but powerful RNA for COVID-19
Abstract Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) is a severe and rapidly evolving epidemic. Now …
syndrome coronavirus 2 (SARS-CoV-2) is a severe and rapidly evolving epidemic. Now …
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 …
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …
exploration of complex and dynamic biological processes. Instrument development has …
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 …
Molecular mechanism for the allosteric inhibition of the human serotonin transporter by antidepressant escitalopram
W Xue, T Fu, S Deng, F Yang, J Yang… - ACS chemical …, 2022 - ACS Publications
Human serotine transporter (hSERT) is one of the most influential drug targets, and its
allosteric modulators (eg, escitalopram) have emerged to be the next-generation medication …
allosteric modulators (eg, escitalopram) have emerged to be the next-generation medication …
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 …
A systematic review of state-of-the-art strategies for machine learning-based protein function prediction
TC Yan, ZX Yue, HQ Xu, YH Liu, YF Hong… - Computers in Biology …, 2023 - Elsevier
New drug discovery is inseparable from the discovery of drug targets, and the vast majority
of the known targets are proteins. At the same time, proteins are essential structural and …
of the known targets are proteins. At the same time, proteins are essential structural and …
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 …
Computational screening of natural compounds as putative quorum sensing inhibitors targeting drug resistance bacteria: Molecular docking and molecular dynamics …
Quorum sensing (QS) is a bacterial communication strategy controlling cells density, biofilm
formation, virulence, sporulation, and survival. Since QS is considered a virulence factor in …
formation, virulence, sporulation, and survival. Since QS is considered a virulence factor in …
Pharmacometabonomics: data processing and statistical analysis
J Fu, Y Zhang, J Liu, X Lian, J Tang… - Briefings in …, 2021 - academic.oup.com
Individual variations in drug efficacy, side effects and adverse drug reactions are still
challenging that cannot be ignored in drug research and development. The aim of …
challenging that cannot be ignored in drug research and development. The aim of …