Pages that link to "Item:Q1715220"
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The following pages link to QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors (Q1715220):
Displaying 11 items.
- QSAR modeling of measured binding affinity for fullerene-based HIV-1 PR inhibitors by CORAL (Q607589) (← links)
- Quantitative structure-activity relationship studies of boron-containing dipeptide proteasome inhibitors using calculated mathematical descriptors (Q626470) (← links)
- Predictive models for maximum recommended therapeutic dose of antiretroviral drugs (Q764174) (← links)
- Aug-MIA-QSAR based strategy in bioactivity prediction of a series of flavonoid derivatives as HIV-1 inhibitors (Q1739235) (← links)
- Extra precision docking, free energy calculation and molecular dynamics simulation studies of CDK2 inhibitors (Q1790820) (← links)
- Molecular dynamic simulations analysis of ritronavir and lopinavir as SARS-CoV 3CL\(^{\mathrm{pro}}\) inhibitors (Q1797730) (← links)
- Comparison of two methods forecasting binding rate of plasma protein (Q2262714) (← links)
- The application of conformal prediction to the drug discovery process (Q2352377) (← links)
- NL MIND-BEST: a web server for ligands and proteins discovery -- theoretic-experimental study of proteins of \textit{Giardia lamblia} and new compounds active against \textit{Plasmodium falciparum} (Q2413852) (← links)
- Models for prediction of anti- HIV-1 activity of 5-Alkyl-2-alkylamino-6-(2,6-difluorophenylalkyl)-3,4-dihydropyrimidin-4(3H)-ones using random forest, decision tree and moving average analysis (Q3560657) (← links)
- (Q6113429) (← links)
