Acta Pharm. 64 (2014) 157-172


full paper

Original research paper


Computational design of drug candidates for influenza A virus subtype H1N1 by inhibiting the viral neuraminidase-1 enzyme


Department of Chemistry, Faculty of Mathematics and Sciences, Depok, University of Indonesia

Accepted January 14, 2014


It is critical to seek potential alternative treatments for H1N1 infections by inhibiting neuraminidase-1 enzyme. One of the viable options for inhibiting the activity of neuraminidase-1 is peptide drug design. In order to increase peptide stability, cyclization is necessary to prevent its digestion by protease enzyme. Cyclization of peptide ligands by formation of disulfide bridges is preferable for designing inhibitors of neuraminidase-1 because of their high activity and specificity. Here we designed ligands by using molecular docking, drug scan and dynamics computational methods. Based on our docking results, short polypeptides of cystein-arginine-methionine-tyrosine-proline-cysteine (CRMYPC) and cysteine-arginine-aspargine-phenylalanine-proline-cysteine (CRNFPC) have good residual interactions with the target and the binding energy ΔGbinding of 31.7402 and 31.0144 kcal mol1, respectively. These values are much lower than those of the standards, and it means that both ligands are more accessible to ligand-receptor binding. Based on drug scan results, both of these ligands are neither mutagenic nor carcinogenic. They also show good oral bioavailability. Moreover, both ligands show relatively stable molecular dynamics progression of RMSD versus time plot. However, based on our metods, the CRMYPC ligand has sufficient hydrogen bonding interactions with residues of the active side of neuraminidase-1 and can be therefore proposed as a potential inhibitor of neuraminidase-1.


Keywords: H1N1, neuraminidase-1, cyclic peptide disulfide, molecular docking, molecular dynamics