Identification of promising dipeptidyl peptidase-4 and protein tyrosine phosphatase 1B inhibitors from selected terpenoids through molecular modeling

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-19
DOI
https://doi.org/10.1093/bioadv/vbae205
Citations
4
Primary Topic
Protein Tyrosine Phosphatases
Type
article
Field-Weighted Citation Impact
0.94
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article

Identification of promising dipeptidyl peptidase-4 and protein tyrosine phosphatase 1B inhibitors from selected terpenoids through molecular modeling

Femi Olawale, Omotade Ibidun Oloyede, Oludare M. Ogunyemi, Charles O. Olaiya et al.
4 citations
Bioinformatics Advances
Protein Tyrosine Phosphatases
0.94
article

Identification of promising dipeptidyl peptidase-4 and protein tyrosine phosphatase 1B inhibitors from selected terpenoids through molecular modeling

Femi Olawale, Omotade Ibidun Oloyede, Oludare M. Ogunyemi, Charles O. Olaiya, Opeyemi Iwaloye, Modupe M. Fabusiwa, Gideon Ampoma Gyebi, Ibrahim M. Ibrahim, Stephen Omowaye
article en
4 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Ekiti State University (NG), Cairo University (EG), Durban University of Technology (ZA), Federal University of Technology (NG), University of Ibadan (NG), Bingham University (NG), Salem University (NG), Federal University of Technology Minna (NG), University of KwaZulu-Natal (ZA)
Openalex Percentile: Top 24%
Protein Tyrosine Phosphatases
0.94
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