Human blood plasma proteins modeling and binding affinities with Δ9-tetrahydrocannabinol active metabolites: In silico approach
Shravan B. Rathod, Jinal C. Soni, Priyanshu Verma, Yogita Rawat, Neha Periwal, Pooja Arora, Vikas Sood, Mohmedyasin F. Mansuri
This study uses molecular docking to analyze the binding affinities of Δ9-THC and its metabolites with human blood plasma proteins, finding Δ9-THC has the strongest binding.
bioRxiv · Apr 13, 2022 · PreprintBioinformatics