Binding modes of 2,4-diaminoquinazoline and 2,4-diaminopteridine analogs to P. falciparum dihydrofolate reductase enzyme: Molecular docking studies

Characterization of Human-malarial Parasite Species based on DHFR and GST Targets Resulting in Changes in Anti-malarial Drug Binding Conformations

BACKGROUND

In this study, we focused primarily on three anti-malarial drugs, namely chloroquine, mefloquine, and proguanil, and these were tested against two malarial targets DHFR and GST. The species Plasmodium falciparum, Plasmodium malariae, Plasmodium ovale, Plasmodium vivax were used for the study.

OBJECTIVE

The purpose of this study was to determine the sequence and structural similarity of the proteins DHFR and GST among four Plasmodium species as well as to discover the in silico interactions with the aforementioned drug candidates.

METHODS

Bioinformatics databases, such as PDB, UniProt, DrugBank, PubChem, and tools, and software like Phyre 2.0, Clustal O (1.2.4), AutoDock 4, AutoDock Vina, and Discovery Studio Visualizer were used to determine the evolutionary significance of the Plasmodium species.

RESULT

The variations showed a difference in the binding patterns of drugs with our target proteins. Our finding reveals the Plasmodium spp divergence or convergence as well as the structural and sequential similarity or dissimilarity features.

CONCLUSION

Our result suggests that due to the deviation in the sequences and structures, variations in protein-drug binding patterns have emerged.

Exploring PfDHFR reaction surface: A combined molecular dynamics and QM/MM analysis

The substrate to the enzyme PfDHFR (Plasmodium falciparum Dihydrofolate Reductase) is a small molecule dihydrofolate (DHF), it gets converted to tetrahydrofolate (THF) in the active site of the enzyme. The PfDHFR reaction surface involves the protonation of DHF to DHFP as an initial step before the catalytic conversion. The binding affinities of all these species (DHF, DHFP and THF) contribute to the mechanism of DHFR catalytic action. Molecular dynamics (MD) simulations and Quantum Mechanics/Molecular Mechanics (QM/MM) analysis were performed to evaluate the binding affinity and molecular recognition interactions of the substrate DHF/DHFP and the product THF, in the active site of wild-type PfDHFR (wtPfDHFR). The binding affinities of the cofactor NADPH/NADP⁺ were also estimated in all the three complexes. The molecular dynamics (MD) simulations of the substrate, product and cofactor in the cavities of wtPfDHFR revealed the variation of the atomic level interactions during the course of the catalytic conversion. It was found that the DHFP binds very strongly to the PfDHFR active site and pulls the cofactor NADPH closer to itself. The QM/MM analysis revealed that the binding energy of DHFP (-59.82 kcal/mol) and NADPH (-100.24 kcal/mol) in DHFP-wtPfDHFR complex, is higher in comparison to the binding energy of DHF (-38.67 kcal/mol) and NADPH (-77.53 kcal/mol) in DHF-wtPfDHFR complex and the binding energy of THF (-30.72 kcal/mol) and NADP⁺ (-73.72 kcal/mol) in THF-wtPfDHFR complex. The hydride ion donor-acceptor distance (DAD) analysis was also carried out. This combined MD and QM/MM analysis revealed that the protonation of DHF increases the proximity between the substrate and the cofactor, thus facilitates the reaction profile of PfDHFR.

TCM grammar systems: an approach to aid the interpretation of the molecular interactions in Chinese herbal medicine

ETHNOPHARMACOLOGICAL RELEVANCE

Interpreting the molecular interactions in Chinese herbal medicine will help to understand the molecular mechanisms of Traditional Chinese medicines (TCM) and predict the new pharmacological effects of TCM. Yet, we still lack a method which could integrate the concerned pieces of parsed knowledge about TCM.

MATERIALS AND METHODS

To solve the problem, a new method named TCM grammar systems was proposed in the present article. The possibility to study the interactions of TCM at the molecular level using TCM grammar systems was explored using Herba Ephedrae Decoction (HED) as an example.

RESULTS

A platform was established based on the formalism of TCM grammar systems. The related molecular network of Herba Ephedrae Decoction (HED) can be extracted automatically. The molecular network indicates that Beta2 adrenergic receptor, Glucocorticoid receptor and Interleukin12 are the relatively important targets for the anti-anaphylaxis asthma function of HED. Moreover, the anti-anaphylaxis asthma function of HED is also related with suppressing inflammation process. The results show the feasibility using TCM grammar systems to interpret the molecular mechanism of TCM. Although the results obtained depend on the database absolutely, recombination of existing knowledge in this method provides new insight for interpreting the molecular mechanism of TCM.

CONCLUSIONS

TCM grammar systems could aid the interpretation of the molecular interactions in TCM to some extent. Moreover, it might be useful to predict the new pharmacological effects of TCM. The method is an in silico technology. In association with the experimental techniques, this method will play an important role in the understanding of the molecular mechanisms of TCM.