Gang Du scite author profile

Aspergillines A-E (1-5) are highly oxygenated cyclopiazonic acid (CPA)-derived alkaloids bearing a rigid and sterically congested hexacyclic indole-tetrahydrofuran-tetramate scaffold, isolated from the endophytic fungus Aspergillus vesicolor. Apergillines A-C represent a new subclass of CPA-derived alkaloids, and aspergillines B and E possess a butanoic acid methyl ester moiety. The structures, including absolute configuration, were elucidated by interpretation of the NMR, X-ray crystallographic, and circular dichroism data. All compounds displayed anti-TMV and cytotoxic activities.

show abstract

Detection and characterization of stress-corrosion cracking on 304 stainless steel by electrochemical noise and acoustic emission techniques

Wang

et al. 2011

Corrosion Science

103

View full text Add to dashboard Cite

An ontology-based hierarchical semantic modeling approach to clinical pathway workflows

Yan

Jiang

Diao

et al. 2009

Computers in Biology and Medicine

View full text Add to dashboard Cite

Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China

et al. 2018

View full text Add to dashboard Cite

Can value-added tax incentives of new energy industry increase firm's profitability? Evidence from financial data of China's listed companies

2020

View full text Add to dashboard Cite

Green innovation effect of emission trading policy on pilot areas and neighboring areas: An analysis based on the spatial econometric model

et al. 2021

View full text Add to dashboard Cite

A test of environmental Kuznets curve for haze pollution in China: Evidence from the penal data of 27 capital cities

Liu

Lei

et al. 2018

Journal of Cleaner Production

114

View full text Add to dashboard Cite

Joint optimization for coordinated configuration of product families and supply chains by a leader-follower Stackelberg game

Yang

Jiao

et al. 2015

European Journal of Operational Research

107

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

334 Leonard St

Brooklyn, NY 11211

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Gang Du

Aspergillines A–E, Highly Oxygenated Hexacyclic Indole–Tetrahydrofuran–Tetramic Acid Derivatives from Aspergillus versicolor

Detection and characterization of stress-corrosion cracking on 304 stainless steel by electrochemical noise and acoustic emission techniques

An ontology-based hierarchical semantic modeling approach to clinical pathway workflows

Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China

Can value-added tax incentives of new energy industry increase firm's profitability? Evidence from financial data of China's listed companies

Green innovation effect of emission trading policy on pilot areas and neighboring areas: An analysis based on the spatial econometric model

A test of environmental Kuznets curve for haze pollution in China: Evidence from the penal data of 27 capital cities

Joint optimization for coordinated configuration of product families and supply chains by a leader-follower Stackelberg game

Contact Info

Product

Resources

About