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From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors

Literature data suggests that Dipeptidyl peptidase-4 (DPP-4) is a potential target for type 2 Diabetes Mellitus. Therefore, it is of interest to identify new DPP-4 inhibitors using molecular docking analysis. We document compounds such as STOCK1N-98884, STOCK1N-98881, and STOCK1N-98866 with optimal...

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Autores principales: Alsamghan, Awad Saeed, Alwabli, Afaf S, Abadi, Mohammed, Alsaleem, Safar A, Anbari, Dalia Mohammed, Alomari, Amani Saleh, Alzahrani, Othman, Alam, Qamre, Tarique, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452749/
https://www.ncbi.nlm.nih.gov/pubmed/32884207
http://dx.doi.org/10.6026/97320630016444
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author Alsamghan, Awad Saeed
Alwabli, Afaf S
Abadi, Mohammed
Alsaleem, Safar A
Anbari, Dalia Mohammed
Alomari, Amani Saleh
Alzahrani, Othman
Alam, Qamre
Tarique, Mohammed
author_facet Alsamghan, Awad Saeed
Alwabli, Afaf S
Abadi, Mohammed
Alsaleem, Safar A
Anbari, Dalia Mohammed
Alomari, Amani Saleh
Alzahrani, Othman
Alam, Qamre
Tarique, Mohammed
author_sort Alsamghan, Awad Saeed
collection PubMed
description Literature data suggests that Dipeptidyl peptidase-4 (DPP-4) is a potential target for type 2 Diabetes Mellitus. Therefore, it is of interest to identify new DPP-4 inhibitors using molecular docking analysis. We document compounds such as STOCK1N-98884, STOCK1N-98881, and STOCK1N-98866 with optimal binding features with DPP-4 from the ligand database at https://www.ibscreen.com/ for further consideration.
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spelling pubmed-74527492020-09-02 From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors Alsamghan, Awad Saeed Alwabli, Afaf S Abadi, Mohammed Alsaleem, Safar A Anbari, Dalia Mohammed Alomari, Amani Saleh Alzahrani, Othman Alam, Qamre Tarique, Mohammed Bioinformation Research Article Literature data suggests that Dipeptidyl peptidase-4 (DPP-4) is a potential target for type 2 Diabetes Mellitus. Therefore, it is of interest to identify new DPP-4 inhibitors using molecular docking analysis. We document compounds such as STOCK1N-98884, STOCK1N-98881, and STOCK1N-98866 with optimal binding features with DPP-4 from the ligand database at https://www.ibscreen.com/ for further consideration. Biomedical Informatics 2020-06-30 /pmc/articles/PMC7452749/ /pubmed/32884207 http://dx.doi.org/10.6026/97320630016444 Text en © 2020 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Alsamghan, Awad Saeed
Alwabli, Afaf S
Abadi, Mohammed
Alsaleem, Safar A
Anbari, Dalia Mohammed
Alomari, Amani Saleh
Alzahrani, Othman
Alam, Qamre
Tarique, Mohammed
From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors
title From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors
title_full From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors
title_fullStr From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors
title_full_unstemmed From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors
title_short From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors
title_sort from sequence analysis of dpp-4 to molecular docking based searching of its inhibitors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452749/
https://www.ncbi.nlm.nih.gov/pubmed/32884207
http://dx.doi.org/10.6026/97320630016444
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