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 …

Analysis of drug combinations: current methodological landscape

J Foucquier, M Guedj - Pharmacology research & perspectives, 2015 - Wiley Online Library
Combination therapies exploit the chances for better efficacy, decreased toxicity, and
reduced development of drug resistance and owing to these advantages, have become a …

[HTML][HTML] Evaluation of synergism in drug combinations and reference models for future orientations in oncology

D Duarte, N Vale - Current Research in Pharmacology and Drug …, 2022 - Elsevier
Current cancer therapy includes a variety of strategies that can comprise only one type of
treatment or a combination of multiple treatments. Chemotherapy is still the gold standard for …

Application of antimicrobial peptides of the innate immune system in combination with conventional antibiotics—a novel way to combat antibiotic resistance?

MS Zharkova, DS Orlov, OY Golubeva… - Frontiers in cellular …, 2019 - frontiersin.org
Rapidly growing resistance of pathogenic bacteria to conventional antibiotics leads to
inefficiency of traditional approaches of countering infections and determines the urgent …

Drug combination studies and their synergy quantification using the Chou-Talalay method

TC Chou - Cancer research, 2010 - AACR
This brief perspective article focuses on the most common errors and pitfalls, as well as the
do's and don'ts in drug combination studies, in terms of experimental design, data …

Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors

TC Chou, P Talalay - Advances in enzyme regulation, 1984 - Elsevier
A generalized method for analyzing the effects of multiple drugs and for determining
summation, synergism and antagonism has been proposed. The derived, generalized …

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLoS computational biology, 2021 - journals.plos.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …

NLLSS: predicting synergistic drug combinations based on semi-supervised learning

X Chen, B Ren, M Chen, Q Wang… - PLoS computational …, 2016 - journals.plos.org
Fungal infection has become one of the leading causes of hospital-acquired infections with
high mortality rates. Furthermore, drug resistance is common for fungus-causing diseases …

Machine learning methods, databases and tools for drug combination prediction

L Wu, Y Wen, D Leng, Q Zhang, C Dai… - Briefings in …, 2022 - academic.oup.com
Combination therapy has shown an obvious efficacy on complex diseases and can greatly
reduce the development of drug resistance. However, even with high-throughput screens …

Quantifying drug combination synergy along potency and efficacy axes

CT Meyer, DJ Wooten, BB Paudel, J Bauer… - Cell systems, 2019 - cell.com
Two goals motivate treating diseases with drug combinations: reduce off-target toxicity by
minimizing doses (synergistic potency) and improve outcomes by escalating effect …