Synergy and antagonism in natural product extracts: when 1+ 1 does not equal 2

LK Caesar, NB Cech - Natural product reports, 2019 - pubs.rsc.org
Covering: 2000 to 2019 According to a 2012 survey from the Centers for Disease Control
and Prevention, approximately 18% of the US population uses natural products (including …

Trends in the approval of cancer therapies by the FDA in the twenty-first century

EC Scott, AC Baines, Y Gong, R Moore Jr… - Nature Reviews Drug …, 2023 - nature.com
The cancer treatment landscape has changed dramatically since the turn of the century,
resulting in substantial improvements in outcomes for patients. This Review summarizes …

High-performance self-cascade pyrite nanozymes for apoptosis–ferroptosis synergistic tumor therapy

X Meng, D Li, L Chen, H He, Q Wang, C Hong, J He… - ACS …, 2021 - ACS Publications
As next-generation artificial enzymes, nanozymes have shown great promise for tumor
catalytic therapy. In particular, their peroxidase-like activity has been employed to catalyze …

Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics

Y Wang, S Zhang, F Li, Y Zhou, Y Zhang… - Nucleic acids …, 2020 - academic.oup.com
Abstract Knowledge of therapeutic targets and early drug candidates is useful for improved
drug discovery. In particular, information about target regulators and the patented …

Network-based prediction of drug combinations

F Cheng, IA Kovács, AL Barabási - Nature communications, 2019 - nature.com
Drug combinations, offering increased therapeutic efficacy and reduced toxicity, play an
important role in treating multiple complex diseases. Yet, our ability to identify and validate …

Modeling polypharmacy side effects with graph convolutional networks

M Zitnik, M Agrawal, J Leskovec - Bioinformatics, 2018 - academic.oup.com
Motivation The use of drug combinations, termed polypharmacy, is common to treat patients
with complex diseases or co-existing conditions. However, a major consequence of …

Molecular bottlebrush prodrugs as mono-and triplex combination therapies for multiple myeloma

A Detappe, HVT Nguyen, Y Jiang, MP Agius… - Nature …, 2023 - nature.com
Cancer therapies often have narrow therapeutic indexes and involve potentially suboptimal
combinations due to the dissimilar physical properties of drug molecules. Nanomedicine …

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities

M Zitnik, F Nguyen, B Wang, J Leskovec… - Information …, 2019 - Elsevier
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …

MolTrans: molecular interaction transformer for drug–target interaction prediction

K Huang, C Xiao, LM Glass, J Sun - Bioinformatics, 2021 - academic.oup.com
Motivation Drug–target interaction (DTI) prediction is a foundational task for in-silico drug
discovery, which is costly and time-consuming due to the need of experimental search over …

SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction

AK Nyamabo, H Yu, JY Shi - Briefings in Bioinformatics, 2021 - academic.oup.com
A major concern with co-administration of different drugs is the high risk of interference
between their mechanisms of action, known as adverse drug–drug interactions (DDIs) …