Dataset on anti-human insulin-degrading enzyme activities of cyclic tetra peptides: Insight from insilico approach.

Saved in:
Bibliographic Details
Title: Dataset on anti-human insulin-degrading enzyme activities of cyclic tetra peptides: Insight from insilico approach.
Authors: Oyebamiji AK; Industrial Chemistry Programme, Bowen University, Iwo, Osun State, Nigeria.; Good Health and Wellbeing Research Clusters (SDG 03), Bowen University, PMB 284 Iwo, Nigeria., Olujinmi FE; Industrial Chemistry Programme, Bowen University, Iwo, Osun State, Nigeria.; Good Health and Wellbeing Research Clusters (SDG 03), Bowen University, PMB 284 Iwo, Nigeria., Aworinde HO; College of Computing and Communication Studies, Bowen University, Iwo, Nigeria., Oke DG; Industrial Chemistry Programme, Bowen University, Iwo, Osun State, Nigeria., Akintelu SA; Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria., Akintayo ET; Department of Chemistry, Ekiti State University, Ado-Ekiti, Nigeria., Akintayo CO; Department of Chemistry, Federal University, Oye-Ekiti, Ekiti State, Nigeria., Babalola JO; Industrial Chemistry Programme, Bowen University, Iwo, Osun State, Nigeria.; Department of Chemistry, University of Ibadan, Ibadan, Nigeria.
Source: Data in brief [Data Brief] 2024 Jul 14; Vol. 55, pp. 110724. Date of Electronic Publication: 2024 Jul 14 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101654995 Publication Model: eCollection Cited Medium: Internet ISSN: 2352-3409 (Electronic) Linking ISSN: 23523409 NLM ISO Abbreviation: Data Brief Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2352-3409
DOI:10.1016/j.dib.2024.110724