ABSTRACT
Among CYPs, CYP2A sub-family is well known for its function to metabolise xenobiotics. CYP2A includes three members: CYP2A6, CYP2A7 and CYP2A13. Of these three proteins, structure and function of CYP2A6 and CYP2A13 are widely studied, whereas very little study has been carried out on CYP2A7. In the initial in vitro studies on CYP2A7, full protein in its active form could not be expressed. The exact structure and function of CYP2A7 is still not revealed. However, up-regulation of CYP2A7 has been reported in malignant oesophageal cells and colon cancer cells. In the present study, we generated the structure of CYP2A7 protein. The modelled proteins were validated and subjected to molecular docking analyses. The energy and RMSD calculations demonstrated that the protein is highly conserved in nature, i.e., the protein is not much flexible. Here the ligand molecules of NCI Diversity Set II from the ZINC database against the active site of the CYP2A7 protein were screened. Five compounds that possess good inhibitory activity against CYP2A7 active site were identified. The top ranking molecule (ZINC01572309) has a minimum energy score of -12.0 kcal/Mol. This compound is thus a good starting point for further development of strong inhibitors. Our in silico approach could help in better structural and functional analysis of CYP2A7. Apart from structural description of CYP2A7, elaboration of binding sites for inhibitors provides us with an opportunity to utilise binding pockets in targeted inactivation of this protein for further research.
Subject(s)
Antineoplastic Agents/pharmacology , Aryl Hydrocarbon Hydroxylases/antagonists & inhibitors , Computer-Aided Design , Cytochrome P-450 Enzyme Inhibitors/pharmacology , Cytochrome P450 Family 2/antagonists & inhibitors , Drug Design , Molecular Docking Simulation , Molecular Dynamics Simulation , Antineoplastic Agents/chemistry , Antineoplastic Agents/metabolism , Aryl Hydrocarbon Hydroxylases/chemistry , Aryl Hydrocarbon Hydroxylases/metabolism , Binding Sites , Cytochrome P-450 Enzyme Inhibitors/chemistry , Cytochrome P-450 Enzyme Inhibitors/metabolism , Cytochrome P450 Family 2/chemistry , Cytochrome P450 Family 2/metabolism , Humans , Molecular Structure , Protein Binding , Reproducibility of Results , Structure-Activity RelationshipABSTRACT
Among CYPs, CYP2A sub-family is well known for its function to metabolize xenobiotics. CYP2A includes three members: CYP2A6, CYP2A7 and CYP2A13. Of these three proteins, structure and function of CYP2A6 and CYP2A13 are widely studied whereas very little study has been carried out on CYP2A7. In the initial in vitro studies on CYP2A7, full protein in its active form could not be expressed. The exact structure and function of CYP2A7 is still not revealed. However, up-regulation of CYP2A7 has been reported in malignant oesophageal cells and colon cancer cells. In the present study, we generated the structure of CYP2A7 protein. The modelled proteins were validated and subjected to molecular docking analyses. The energy and RMSD calculations demonstrated that the protein is highly conserved in nature i.e. the protein is not much flexible. Here the ligand molecules of NCI Diversity Set II from the ZINC database against the active site of the CYP2A7 protein were screened. Five compounds that possess good inhibitory activity against CYP2A7 active site were identified. The top ranking molecule (ZINC01572309) has a minimum energy score of -12.0 Kcal/Mol. This compound is thus a good starting point for further development of strong inhibitors. Our in silico approach could help in better structural and functional analysis of CYP2A7. Apart from structural description of CYP2A7, elaboration of binding sites for inhibitors provides us with an opportunity to utilize binding pockets in targeted inactivation of this protein for further research.
ABSTRACT
Rab3A is expressed predominantly in brain and synaptic vesicles. Rab3A is involved specifically in tethering and docking of synaptic vesicles prior to fusion which is a critical step in regulated release of neurotransmitters. The precise function of Rab3A is still not known. However, up-regulation of Rab3A has been reported in malignant neuroendocrine and breast cancer cells. In the present study, the structure of Rab3A protein was generated using MODELLER 9v8 software. The modeled protein structure was validated and subjected to molecular docking analyses. Docking with GTP was carried out on the binding site of Rab3A using GOLD software. The Rab3A-GTP complex has best GOLD fitness value of 77.73. Ligplot shows hydrogen bondings (S16, S17, V18, G19, K20, T21, S22, S31, T33, A35, S38, T39 and G65) and hydrophobic interacting residues (F25, F32, P34, F36, V37, D62 and A64) with the GTP ligands in the binding site of Rab3A protein. Here, the ligand molecules of NCI diversity set II from the ZINC database against the active site of the Rab3A protein were screened. For this purpose, the incremental construction algorithm of GLIDE and the genetic algorithm of GOLD were used. Docking results were analyzed for top ranking compounds using a consensus scoring function of X-Score to calculate the binding affinity and Ligplot was used to measure protein-ligand interactions. Five compounds which possess good inhibitory activity and may act as potential high affinity inhibitors against Rab3A active site were identified. The top ranking molecule (ZINC13152284) has a Glide score of -6.65 kcal/mol, X-Score of -3.02 kcal/mol and GOLD score of 64.54 with 03 hydrogen bonds and 09 hydrophobic contacts. This compound is thus a good starting point for further development of strong inhibitors.
Subject(s)
Carcinogenesis/chemistry , Molecular Docking Simulation , rab3A GTP-Binding Protein/chemistry , Binding Sites , Catalytic Domain , Humans , Ligands , Molecular Conformation , Small Molecule Libraries/chemistry , rab3A GTP-Binding Protein/antagonists & inhibitors , rab3A GTP-Binding Protein/geneticsABSTRACT
Trichomonas vaginalis causes trichomoniasis, second most sexually transmitted disease. The genome sequence draft of T. vaginalis was published by The Institute of Genomic Research reveals an abnormally large genome size of 160 Mb. It was speculated that a significant portion of the proteome contains paralogous proteins. The present study was aimed at identification and analysis of the paralogous proteins. The all against all search approach is used to identify the paralogous proteins. The dataset of proteins was retrieved from TIGR and TrichDB FTP server. The BLAST-P program performed all against all database searches against the protein database of Trichomonas vaginalis available at NCBI genome database. In the present study about 50,000 proteins were searched where 2,700 proteins were found to be paralogous under the rigid selection criteria. The Pfam database search has identified significant number of paralogous proteins which were further categorized among different 1496 paralogous protein in pfam families, 1027 paralogous protein contains domain, 60 proteins were having different repeats and 1092 paralogous protein sequences of clans. Such identification and functional annotation of paralogous proteins will also help in removing paralogous proteins from possible drug targets in future. Presence of huge number of paralogous proteins across wide range of gene families and domains may be one of the possible mechanisms involved in the T. vaginalis genome expansion and evolution.
