[HTML][HTML] Advances of artificial intelligence in anti-cancer drug design: a review of the past decade

L Wang, Y Song, H Wang, X Zhang, M Wang, J He… - Pharmaceuticals, 2023 - mdpi.com
Anti-cancer drug design has been acknowledged as a complicated, expensive, time-
consuming, and challenging task. How to reduce the research costs and speed up the …

[HTML][HTML] Multifunctional nanoparticle-mediated combining therapy for human diseases

X Li, X Peng, M Zoulikha, GF Boafo, KT Magar… - … and Targeted Therapy, 2024 - nature.com
Combining existing drug therapy is essential in developing new therapeutic agents in
disease prevention and treatment. In preclinical investigations, combined effect of certain …

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 …

DDInter: an online drug–drug interaction database towards improving clinical decision-making and patient safety

G Xiong, Z Yang, J Yi, N Wang, L Wang… - Nucleic acids …, 2022 - academic.oup.com
Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged
as a threat to medicine and public health. Despite the continuous information accumulation …

[HTML][HTML] A review of the pharmacodynamic effect of chemo-herbal drug combinations therapy for cancer treatment

A Okem, C Henstra, M Lambert, R Hayeshi - Medicine in Drug Discovery, 2023 - Elsevier
There is mounting evidence that cancer patients co-administer herbal drugs with
chemotherapy, however, information on the pharmacodynamic (PD) effects of such …

[HTML][HTML] Interactions between natural products and cancer treatments: Underlying mechanisms and clinical importance

WJJ Chan, J Adiwidjaja, AJ McLachlan… - Cancer chemotherapy …, 2023 - Springer
Natural products, also referred to as dietary supplements, complementary and alternative
medicines, and health or food supplements are widely used by people living with cancer …

[HTML][HTML] Prediction of drug-drug interaction using an attention-based graph neural network on drug molecular graphs

YH Feng, SW Zhang - Molecules, 2022 - mdpi.com
The treatment of complex diseases by using multiple drugs has become popular. However,
drug-drug interactions (DDI) may give rise to the risk of unanticipated adverse effects and …

Role of the synergistic interactions of environmental pollutants in the development of cancer

FA Lagunas‐Rangel, JV Linnea‐Niemi, B Kudłak… - …, 2022 - Wiley Online Library
There is a growing awareness that the large number of environmental pollutants we are
exposed to on a daily basis are causing major health problems. Compared to traditional …

New approaches for developing multi-targeted drug combinations for disease modification of complex brain disorders. Does epilepsy prevention become a realistic …

W Löscher, P Klein - Pharmacology & therapeutics, 2022 - Elsevier
Over decades, the prevailing standard in drug discovery was the concept of designing highly
selective compounds that act on individual drug targets. However, more recently, multi-target …

Graph neural networks for molecules

Y Wang, Z Li, A Barati Farimani - Machine Learning in Molecular Sciences, 2023 - Springer
Graph neural networks (GNNs), which are capable of learning representations from
graphical data, are naturally suitable for modeling molecular systems. This review …