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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2020
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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. |
format | Online Article Text |
id | pubmed-7452749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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