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Affinity comparison of different THCA synthase to CBGA using modeling computational approaches
The Δ(9-)Tetrahydrocannabinol (THCA) is the primary psychoactive compound of Cannabis Sativa. It is produced by Δ(1-) Tetrahydrocannabinolic acid synthase (THCA) which catalyzes the oxidative cyclization of cannabigerolic acid (CBGA) the precursor of the THCA. In this study, we were interested by th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Biomedical Informatics
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916817/ https://www.ncbi.nlm.nih.gov/pubmed/24516324 http://dx.doi.org/10.6026/97320630010033 |
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author | Alaoui, Moulay Abdelaziz El Ibrahimi, Azeddine Semlali, Oussama Tarhda, Zineb Marouane, Melloul Najwa, Alaoui Soulaymani, Abdelmajid Fahime, Elmostafa El |
author_facet | Alaoui, Moulay Abdelaziz El Ibrahimi, Azeddine Semlali, Oussama Tarhda, Zineb Marouane, Melloul Najwa, Alaoui Soulaymani, Abdelmajid Fahime, Elmostafa El |
author_sort | Alaoui, Moulay Abdelaziz El |
collection | PubMed |
description | The Δ(9-)Tetrahydrocannabinol (THCA) is the primary psychoactive compound of Cannabis Sativa. It is produced by Δ(1-) Tetrahydrocannabinolic acid synthase (THCA) which catalyzes the oxidative cyclization of cannabigerolic acid (CBGA) the precursor of the THCA. In this study, we were interested by the three dimensional structure of THCA synthase protein. Generation of models were done by MODELLER v9.11 and homology modeling with Δ1-tetrahydrocannabinolic acid (THCA) synthase X ray structure (PDB code 3VTE) on the basis of sequences retrieved from GenBank. Procheck, Errat, and Verify 3D tools were used to verify the reliability of the six 3D models obtained, the overall quality factor and the Prosa Z-score were also used to check the quality of the six modeled proteins. The RMSDs for C-alpha atoms, main-chain atoms, side-chain atoms and all atoms between the modeled structures and the corresponding template ranged between 0.290 Å-1.252 Å, reflecting the good quality of the obtained models. Our study of the CBGA-THCA synthase docking demonstrated that the active site pocket was successfully recognized using computational approach. The interaction energy of CBGA computed in ‘fiber types’ proteins ranged between -4.1 95 kcal/mol and -5.95 kcal/mol whereas in the ‘drug type’ was about -7.02 kcal/mol to -7.16 kcal/mol, which maybe indicate the important role played by the interaction energy of CBGA in the determination of the THCA level in Cannabis Sativa L. varieties. Finally, we have proposed an experimental design in order to explore the binding energy source of ligand-enzyme in Cannabis Sativa and the production level of the THCA in the absence of any information regarding the correlation between the enzyme affinity and THCA level production. This report opens the doors to more studies predicting the binding site pocket with accuracy from the perspective of the protein affinity and THCA level produced in Cannabis Sativa. |
format | Online Article Text |
id | pubmed-3916817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-39168172014-02-10 Affinity comparison of different THCA synthase to CBGA using modeling computational approaches Alaoui, Moulay Abdelaziz El Ibrahimi, Azeddine Semlali, Oussama Tarhda, Zineb Marouane, Melloul Najwa, Alaoui Soulaymani, Abdelmajid Fahime, Elmostafa El Bioinformation Hypothesis The Δ(9-)Tetrahydrocannabinol (THCA) is the primary psychoactive compound of Cannabis Sativa. It is produced by Δ(1-) Tetrahydrocannabinolic acid synthase (THCA) which catalyzes the oxidative cyclization of cannabigerolic acid (CBGA) the precursor of the THCA. In this study, we were interested by the three dimensional structure of THCA synthase protein. Generation of models were done by MODELLER v9.11 and homology modeling with Δ1-tetrahydrocannabinolic acid (THCA) synthase X ray structure (PDB code 3VTE) on the basis of sequences retrieved from GenBank. Procheck, Errat, and Verify 3D tools were used to verify the reliability of the six 3D models obtained, the overall quality factor and the Prosa Z-score were also used to check the quality of the six modeled proteins. The RMSDs for C-alpha atoms, main-chain atoms, side-chain atoms and all atoms between the modeled structures and the corresponding template ranged between 0.290 Å-1.252 Å, reflecting the good quality of the obtained models. Our study of the CBGA-THCA synthase docking demonstrated that the active site pocket was successfully recognized using computational approach. The interaction energy of CBGA computed in ‘fiber types’ proteins ranged between -4.1 95 kcal/mol and -5.95 kcal/mol whereas in the ‘drug type’ was about -7.02 kcal/mol to -7.16 kcal/mol, which maybe indicate the important role played by the interaction energy of CBGA in the determination of the THCA level in Cannabis Sativa L. varieties. Finally, we have proposed an experimental design in order to explore the binding energy source of ligand-enzyme in Cannabis Sativa and the production level of the THCA in the absence of any information regarding the correlation between the enzyme affinity and THCA level production. This report opens the doors to more studies predicting the binding site pocket with accuracy from the perspective of the protein affinity and THCA level produced in Cannabis Sativa. Biomedical Informatics 2014-01-29 /pmc/articles/PMC3916817/ /pubmed/24516324 http://dx.doi.org/10.6026/97320630010033 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Alaoui, Moulay Abdelaziz El Ibrahimi, Azeddine Semlali, Oussama Tarhda, Zineb Marouane, Melloul Najwa, Alaoui Soulaymani, Abdelmajid Fahime, Elmostafa El Affinity comparison of different THCA synthase to CBGA using modeling computational approaches |
title | Affinity comparison of different THCA synthase to CBGA using modeling computational approaches |
title_full | Affinity comparison of different THCA synthase to CBGA using modeling computational approaches |
title_fullStr | Affinity comparison of different THCA synthase to CBGA using modeling computational approaches |
title_full_unstemmed | Affinity comparison of different THCA synthase to CBGA using modeling computational approaches |
title_short | Affinity comparison of different THCA synthase to CBGA using modeling computational approaches |
title_sort | affinity comparison of different thca synthase to cbga using modeling computational approaches |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916817/ https://www.ncbi.nlm.nih.gov/pubmed/24516324 http://dx.doi.org/10.6026/97320630010033 |
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