To us, this proves to be an interesting trend, since the top 10 ranked compounds which were obtained from both libraries ( Table 3 ) had higher binding energies compared to any of those used in the assay.
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Integrated computational tools for identification of CCR5 antagonists as potential HIV-1 entry inhibitors: homology modeling, virtual screening, molecular dynamics simulations and 3D QSAR analysis.
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