[HTML][HTML] In silico methods for identification of potential active sites of therapeutic targets

J Liao, Q Wang, F Wu, Z Huang - Molecules, 2022 - mdpi.com
Target identification is an important step in drug discovery, and computer-aided drug target
identification methods are attracting more attention compared with traditional drug target …

Bioinformatics approaches for anti-cancer drug discovery

K Li, Y Du, L Li, DQ Wei - Current drug targets, 2020 - ingentaconnect.com
Drug discovery is important in cancer therapy and precision medicines. Traditional
approaches of drug discovery are mainly based on in vivo animal experiments and in vitro …

In silico methods for identification of potential therapeutic targets

X Zhang, F Wu, N Yang, X Zhan, J Liao, S Mai… - Interdisciplinary …, 2022 - Springer
At the initial stage of drug discovery, identifying novel targets with maximal efficacy and
minimal side effects can improve the success rate and portfolio value of drug discovery …

[HTML][HTML] Danggui Shaoyao San ameliorates the lipid metabolism via the PPAR signaling pathway in a Danio rerio (zebrafish) model of hyperlipidemia

Y Wang, Y Pan, M Hou, R Luo, J He, F Lin, X **a… - Biomedicine & …, 2023 - Elsevier
The escalating prevalence of hyperlipidemia has a profound impact on individuals' daily
physiological well-being. The traditional Chinese medicine (TCM) prescription Danggui …

Is acupuncture effective in the treatment of COVID-19 related symptoms? Based on bioinformatics/network topology strategy

Z Han, Y Zhang, P Wang, Q Tang… - Briefings in …, 2021 - academic.oup.com
Acupuncture is an important part of Chinese medicine that has been widely used in the
treatment of inflammatory diseases. During the coronavirus disease 2019 (COVID-19) …

Computational drug repurposing: current trends

B Karaman, W Sippl - Current medicinal chemistry, 2019 - benthamdirect.com
Biomedical discovery has been reshaped upon the exploding digitization of data which can
be retrieved from a number of sources, ranging from clinical pharmacology to …

Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system

V Gautam, A Gaurav, N Masand, VS Lee, VM Patil - Molecular Diversity, 2023 - Springer
CNS disorders are indications with a very high unmet medical needs, relatively smaller
number of available drugs, and a subpar satisfaction level among patients and caregiver …

TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration

L Urán Landaburu, AJ Berenstein, S Videla… - Nucleic Acids …, 2020 - academic.oup.com
The volume of biological, chemical and functional data deposited in the public domain is
growing rapidly, thanks to next generation sequencing and highly-automated screening …

Identifying the natural products in the treatment of atherosclerosis by increasing HDL-C level based on bioinformatics analysis, molecular docking, and in vitro …

Y Chen, F Zhang, J Sun, L Zhang - Journal of Translational Medicine, 2023 - Springer
Background Previous studies have demonstrated that high-density lipoprotein cholesterol
(HDL-C) plays an anti-atherosclerosis role through reverse cholesterol transport. Several …

Inhibiting effect of miR-29 on proliferation and migration of uterine leiomyoma via the STAT3 signaling pathway

D Huang, H Xue, W Shao, X Wang, H Liao… - Aging (Albany …, 2022 - pmc.ncbi.nlm.nih.gov
Aim: Uterine leiomyoma is the most common benign tumor of female genitalia, and the
incidence is rising gradually. This study explores the mechanism of miR-29 and STAT3 …