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Updated: May 16, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
Virtual screening and QSAR study of some pyrrolidine derivatives as α-mannosidase inhibitors for binding feature
N S H N Moorthy1, Natércia F Brás, Maria J Ramos
1REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto 687, Rua do Campo Alegre, 4169-007 Porto, Portugal. hari.moorthy@fc.up.pt
Abstract:
Virtual screening and QSAR analysis were carried out to investigate the binding features of (2R, 3R, 4S)-2-aminomethylpyrrolidine 3,4-diol and the functionalized pyrrolidine derivatives to the α-mannosidase I and II enzymes. The QSAR models (possessed considerable R(2), Q(2) values, etc.) suggested that the presence of polar property on the vdW surface (vsurf_W, vsurf_Wp, etc.) of the molecules is important along with the presence of aromatic rings (opr_violation) in the molecules (which also provide hydrophobicity to the molecules). The docking study performed on α-mannosidase I and II enzymes pointed that the main interactions occur by hydrogen bonds, hydrophobic π-π stacking contacts and salt bridges with the cation calcium (for α-mannosidase I) and close interaction with zinc ion (α-mannosidase II), respectively. The bond flexibility orientates the aromatic ring in the molecules toward the hydrophobic cavity for π-π stacking contacts with the aromatic amino acids (Phe528, Phe329 and Phe659 for α-mannosidase I and Trp95, Tyr269, Phe312, Tyr102 for α-mannosidase II). The pharmacophore analysis also supports the results derived from the docking and QSAR studies. Our results suggest that the best compound to inhibit both classes of α-mannosidase is the compound 30, which may be used to design similar and better inhibitors to next generation drugs.
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