Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula

L Zhao, H Zhang, N Li, J Chen, H Xu, Y Wang… - Journal of …, 2023 - Elsevier
Ethnopharmacological relevance Network pharmacology is a new discipline based on
systems biology theory, biological system network analysis, and multi-target drug molecule …

[HTML][HTML] Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties

G Xiong, Z Wu, J Yi, L Fu, Z Yang, C Hsieh… - Nucleic acids …, 2021 - academic.oup.com
Because undesirable pharmacokinetics and toxicity of candidate compounds are the main
reasons for the failure of drug development, it has been widely recognized that absorption …

In silico methods and tools for drug discovery

B Shaker, S Ahmad, J Lee, C Jung, D Na - Computers in biology and …, 2021 - Elsevier
In the past, conventional drug discovery strategies have been successfully employed to
develop new drugs, but the process from lead identification to clinical trials takes more than …

Discovery of a structural class of antibiotics with explainable deep learning

F Wong, EJ Zheng, JA Valeri, NM Donghia… - Nature, 2024 - nature.com
The discovery of novel structural classes of antibiotics is urgently needed to address the
ongoing antibiotic resistance crisis,,,,,,,–. Deep learning approaches have aided in exploring …

Discovery of sulfadrug–pyrrole conjugates as carbonic anhydrase and acetylcholinesterase inhibitors

M Gümüş, ŞN Babacan, Y Demir, Y Sert… - Archiv Der …, 2022 - Wiley Online Library
Human carbonic anhydrase (hCA) isoenzymes are zinc ion‐containing, widespread
metalloenzymes and they classically play a role in pH homeostasis maintenance. CA …

[HTML][HTML] Blockchain and artificial intelligence technology in e-Health

P Tagde, S Tagde, T Bhattacharya, P Tagde… - … Science and Pollution …, 2021 - Springer
Blockchain and artificial intelligence technologies are novel innovations in healthcare
sector. Data on healthcare indices are collected from data published on Web of Sciences …

SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules

A Daina, O Michielin, V Zoete - Nucleic acids research, 2019 - academic.oup.com
SwissTargetPrediction is a web tool, on-line since 2014, that aims to predict the most
probable protein targets of small molecules. Predictions are based on the similarity principle …

Andrographolide as a potential inhibitor of SARS-CoV-2 main protease: an in silico approach

SK Enmozhi, K Raja, I Sebastine… - Journal of biomolecular …, 2021 - Taylor & Francis
SARS-CoV-2 virus which caused the global pandemic the Coronavirus Disease-2019
(COVID-2019) has infected about 1,203,959 patients and brought forth death rate about …

[HTML][HTML] Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents …

FADM Opo, MM Rahman, F Ahammad, I Ahmed… - Scientific reports, 2021 - nature.com
X-linked inhibitor of apoptosis protein (XIAP) is a member of inhibitor of apoptosis protein
(IAP) family responsible for neutralizing the caspases-3, caspases-7, and caspases-9 …