[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 …
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 …
disease prevention and treatment. In preclinical investigations, combined effect of certain …
DrugMAP: molecular atlas and pharma-information of all drugs
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 …
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
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 …
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
There is mounting evidence that cancer patients co-administer herbal drugs with
chemotherapy, however, information on the pharmacodynamic (PD) effects of such …
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 …
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 …
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 …
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 …
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 …
selective compounds that act on individual drug targets. However, more recently, multi-target …
Graph neural networks for molecules
Graph neural networks (GNNs), which are capable of learning representations from
graphical data, are naturally suitable for modeling molecular systems. This review …
graphical data, are naturally suitable for modeling molecular systems. This review …