H
Hiroshi Maeda
Researcher at Kumamoto University
Publications - 915
Citations - 67944
Hiroshi Maeda is an academic researcher from Kumamoto University. The author has contributed to research in topics: Neocarzinostatin & Nitric oxide. The author has an hindex of 103, co-authored 893 publications receiving 63370 citations. Previous affiliations of Hiroshi Maeda include Osaka University & Okayama University.
Papers
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Journal ArticleDOI
The molecular surface of proteolytic enzymes has an important role in stability of the enzymatic activity in extraordinary environments.
TL;DR: It appeared that the stabilization of the molecular surface structure was effective to improve the stability of the proteolytic enzymes.
Journal Article
Pharmacokinetics of cefixime in patients with impaired renal function
Hiroshi Maeda,Sako M,Fujii A,H. Yamazaki,Gaku Kawabata,Harada M,Arakawa S,Umezu K,Kamidono S,Joji Ishigami +9 more
TL;DR: Serum concentrations and urinary excretion rates were measured with time for the first 24 hours by the bioassay method to investigate in vivo pharmacokinetics of the drug CFIX and the results obtained are summarized.
Patent
Method of manufacturing a high strength, high conductivity copper-silver alloy
TL;DR: In this article, a new copper alloy containing silver from 4 to 32 at. %, which is useful for a magnet conductor, an IC lead frame, etc., having simultaneously a high strength and a high conductivity, manufactured by blending from 4-32 at.
Journal ArticleDOI
Evaluation of succinyl neocarzinostatin in vivo.
TL;DR: The results were interpreted to indicate that the succinyl derivative of NCS was more stable to inactivation and proteolytic break-down in vivo than NCS as observed previously in in vitro studies.
Journal ArticleDOI
An automated workflow that generates atom mappings for large scale metabolic models and its application to Arabidopsis thaliana.
TL;DR: The automated workflow established in this study can be readily expanded to other species for which metabolic models have been assembled and the resulting atom mappings will facilitate MFA and graph-theoretic structural analyses with large-scale metabolic networks.