[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 …

The miRNA: a small but powerful RNA for COVID-19

S Zhang, K Amahong, X Sun, X Lian, J Liu… - Briefings in …, 2021 - academic.oup.com
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 …

Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents

Y Zhou, Y Zhang, X Lian, F Li, C Wang… - Nucleic acids …, 2022 - academic.oup.com
Drug discovery relies on the knowledge of not only drugs and targets, but also the
comparative agents and targets. These include poor binders and non-binders for develo** …

A transformer-based ensemble framework for the prediction of protein–protein interaction sites

M Mou, Z Pan, Z Zhou, L Zheng, H Zhang, S Shi, F Li… - Research, 2023 - spj.science.org
The identification of protein–protein interaction (PPI) sites is essential in the research of
protein function and the discovery of new drugs. So far, a variety of computational tools …

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 …

POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability

F Li, Y Zhou, Y Zhang, J Yin, Y Qiu… - Briefings in …, 2022 - academic.oup.com
Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …

NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data

Q Yang, Y Wang, Y Zhang, F Li, W **a… - Nucleic acids …, 2020 - academic.oup.com
Biological processes (like microbial growth & physiological response) are usually dynamic
and require the monitoring of metabolic variation at different time-points. Moreover, there is …

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 …

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

W **a, 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 …

DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning

J Chen, Q Zou, J Li - Frontiers of Computer Science, 2022 - Springer
Abstract N6-methyladenosine (m 6 A) is a prevalent methylation modification and plays a
vital role in various biological processes, such as metabolism, mRNA processing, synthesis …