[HTML][HTML] Anticancer plants: A review of the active phytochemicals, applications in animal models, and regulatory aspects

T Khan, M Ali, A Khan, P Nisar, SA Jan, S Afridi… - Biomolecules, 2019 - mdpi.com
The rising burden of cancer worldwide calls for an alternative treatment solution. Herbal
medicine provides a very feasible alternative to western medicine against cancer. This …

[HTML][HTML] Machine learning applications in drug repurposing

F Yang, Q Zhang, X Ji, Y Zhang, W Li, S Peng… - Interdisciplinary Sciences …, 2022 - Springer
Abstract The coronavirus disease (COVID-19) has led to an rush to repurpose existing
drugs, although the underlying evidence base is of variable quality. Drug repurposing is a …

Machine learning approaches for elucidating the biological effects of natural products

R Zhang, X Li, X Zhang, H Qin, W Xiao - Natural Product Reports, 2021 - pubs.rsc.org
Covering: 2000 to 2020 Machine learning (ML) is an efficient tool for the prediction of
bioactivity and the study of structure–activity relationships. Over the past decade, an …

[HTML][HTML] Applications of virtual screening in bioprospecting: facts, shifts, and perspectives to explore the chemo-structural diversity of natural products

K Santana, LD Do Nascimento, A Lima e Lima… - Frontiers in …, 2021 - frontiersin.org
Natural products are continually explored in the development of new bioactive compounds
with industrial applications, attracting the attention of scientific research efforts due to their …

The Yin and Yang of traditional Chinese and Western medicine

R Fu, J Li, H Yu, Y Zhang, Z Xu… - Medicinal Research …, 2021 - Wiley Online Library
Abstract The success of Western Scientific approaches to medicine, over the last 150 years,
can be measured by substantial increases in life expectancy, reductions in infant mortality …

Computational approaches for modeling and structural design of biological systems: A comprehensive review

E Gayathiri, P Prakash, P Kumaravel… - Progress in Biophysics …, 2023 - Elsevier
The convergence of biology and computational science has ushered in a revolutionary era,
revolutionizing our understanding of biological systems and providing novel solutions to …

[HTML][HTML] Unsupervised learning and multipartite network models: a promising approach for understanding traditional medicine

M Jafari, Y Wang, A Amiryousefi, J Tang - Frontiers in Pharmacology, 2020 - frontiersin.org
The ultimate goal of precision medicine is to determine right treatment for right patients
based on precise diagnosis. To achieve this goal, correct stratification of patients using …

[HTML][HTML] Practical implementation of artificial intelligence-based deep learning and cloud computing on the application of traditional medicine and western medicine in …

S Wang, Y Hou, X Li, X Meng, Y Zhang… - Frontiers in …, 2021 - frontiersin.org
Rheumatoid arthritis (RA), an autoimmune disease of unknown etiology, is a serious threat
to the health of middle-aged and elderly people. Although western medicine, traditional …

[HTML][HTML] Machine learning-based monosaccharide profiling for tissue-specific classification of Wolfiporia extensa samples

SY Hsiung, SX Deng, J Li, SY Huang, CK Liaw… - Carbohydrate …, 2023 - Elsevier
Abstract Machine learning (ML) has been used for many clinical decision-making processes
and diagnostic procedures in bioinformatics applications. We examined eight algorithms …

[HTML][HTML] Machine learning in TCM with natural products and molecules: current status and future perspectives

S Ma, J Liu, W Li, Y Liu, X Hui, P Qu, Z Jiang, J Li… - Chinese medicine, 2023 - Springer
Traditional Chinese medicine (TCM) has been practiced for thousands of years with clinical
efficacy. Natural products and their effective agents such as artemisinin and paclitaxel have …