Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Alaoui, Moulay Abdelaziz El, Ibrahimi, Azeddine, Semlali, Oussama, Tarhda, Zineb, Marouane, Melloul, Najwa, Alaoui, Soulaymani, Abdelmajid, Fahime, Elmostafa El
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2014
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
_version_ 1782302766202355712
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
work_keys_str_mv AT alaouimoulayabdelazizel affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches
AT ibrahimiazeddine affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches
AT semlalioussama affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches
AT tarhdazineb affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches
AT marouanemelloul affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches
AT najwaalaoui affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches
AT soulaymaniabdelmajid affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches
AT fahimeelmostafael affinitycomparisonofdifferentthcasynthasetocbgausingmodelingcomputationalapproaches