M
Mark E. Cooper
Researcher at University of Queensland
Publications - 1514
Citations - 141899
Mark E. Cooper is an academic researcher from University of Queensland. The author has contributed to research in topics: Diabetes mellitus & Diabetic nephropathy. The author has an hindex of 158, co-authored 1463 publications receiving 124887 citations. Previous affiliations of Mark E. Cooper include University of Cambridge & University of Adelaide.
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Vascular changes in the diabetic kidney: effects of ACE inhibition.
TL;DR: The data support a role for increased activity of angiotensin converting enzyme as a mechanism for vascular hypertrophy, which may be involved in the pathogenesis of diabetic vasculopathy and nephropathy.
Journal ArticleDOI
Elucidating the Lipid Binding Properties of Membrane-Active Peptides Using Cyclised Nanodiscs
Alan H. Zhang,Ingrid A. Edwards,Biswa P. Mishra,Gagan Sharma,Michael D. Healy,Alysha G. Elliott,Mark A. T. Blaskovich,Mark E. Cooper,Brett M. Collins,Xinying Jia,Mehdi Mobli +10 more
TL;DR: VSTx1, a well characterized ion-channel inhibitor that preferentially binds to anionic lipid mixtures, and AA139 an antimicrobial β-hairpin peptide with uncharacterised lipid binding properties, currently in pre-clinical development are investigated.
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Disruption of de Novo Adenosine Triphosphate (ATP) Biosynthesis Abolishes Virulence in Cryptococcus neoformans
Ross D. Blundell,Simon J. Williams,Samantha D. M. Arras,Jessica L. Chitty,Kirsten L. Blake,Daniel J. Ericsson,Daniel J. Ericsson,Nidhi Tibrewal,Jürgen Rohr,Y. Q. Andre E. Koh,Ulrike Kappler,Avril A. B. Robertson,Mark S. Butler,Mark E. Cooper,Bostjan Kobe,James A. Fraser +15 more
TL;DR: Investigating the potential of Adenylosuccinate synthetase as an antifungal drug target finds that loss of function results in adenine auxotrophy in C. neoformans, as well as complete loss of virulence in a murine model, validating AdSS as a promising antif fungus drug target and laying a foundation for future in silico and in vitro screens for novel antIFungal compounds.
Journal ArticleDOI
Big Data Approach to Characterize Restricted and Repetitive Behaviors in Autism.
Mirko Uljarević,Mirko Uljarević,Thomas W. Frazier,Booil Jo,Wesley Billingham,Mark E. Cooper,Eric A. Youngstrom,Lawrence Scahill,Antonio Y. Hardan +8 more
TL;DR: In this paper, the authors used the Repetitive Behavior Scale−Revised questionnaire as a measure of repetitive motor behaviors, self-injurious behaviors, compulsions, insistence on sameness, and circumscribed interests.