Data · dataset · 2015
Structural insight into Mycobacterium tuberculosis maltosyl transferase inhibitors: pharmacophore-based virtual screening, docking, and molecular dynamics simulations
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Pharmacophore-based virtual screening, subsequent docking, and molecular dynamics (MD) simulations have been done to identify potential inhibitors of maltosyl transferase of Mycobacterium tuberculosis (mtb GlgE).
Description
Ligand and structure-based pharmacophore models representing its primary binding site (pbs) and unique secondary binding site 2 (sbs2), respectively, were constructed based on the three dimensional structure of mtb GlgE.
These pharmacophore models were further used for screening of ZINC and antituberculosis compounds database (ATD). Virtually screened molecules satisfying Lipinski’s rule of five were then analyzed using docking studies and have identified 23 molecules with better binding affinity than its natural substrate, maltose. Four top scoring ligands from ZINC and ATD that either binds to pbs or sbs2 have been subjected to 10 ns each MD simulations and binding free energy calculations.
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Results of these studies have confirmed stable protein ligand binding. Results reported in the article are likely to be helpful in antitubercular therapeutic development research.
Links
Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Structural_insight_into_i_Mycobacterium_tuber… ↗
landing page · from DataCite
- Repository landing page tandf.figshare.com/articles/dataset/Structural_insight_into_i_Mycobacterium_tuber… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1305597 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.1305597.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/07391102.2014.1003602 doi.org/10.1080/07391102.2014.1003602 ↗
publication · from DataCite
Catalogue records · 4
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1305597.v1 ↗
metadata API · from DataCite
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1305597 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1305597.v1 ↗
catalogue entry · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1305597 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Clinical medicine · Clinical medicine
- From keywords
- Biochemistry and cell biology · Chemistry · Chemistry · Immunology · Life Sciences · Life Sciences
Provenance · 2 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1305597 | 14 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.1305597.v1 | 14 d ago | JSON v1 |
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| concepts[field].local:field:chemistry | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Chemistry'] |
| concepts[field].local:field:chemistry | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Chemistry'] |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
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