Discovery of Lonafarnib-Like Compounds: Pharmacophore Modeling and Molecular Dynamics Studies
Author(s) -
Shailima Rampogu,
Ayoung Baek,
Minky Son,
Chanin Park,
Sanghwa Yoon,
Shraddha Parate,
Keun Woo Lee
Publication year - 2020
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.9b02263
Subject(s) - pharmacophore , computational biology , molecular dynamics , dock , drug discovery , chemistry , docking (animal) , combinatorial chemistry , farnesyltransferase , stereochemistry , computer science , biology , biochemistry , prenylation , computational chemistry , medicine , enzyme , nursing
Progeria is a globally noticed rare genetic disorder manifested by premature aging with no effective treatment. Under these circumstances, farnesyltransferase inhibitors (FTIs) are marked as promising drug candidates. Correspondingly, a pharmacophore model was generated exploiting the features of lonafarnib. The selected pharmacophore model was allowed to screen the InterBioScreen natural compound database to retrieve the potential lead candidates. A series of filtering steps were applied to assess the drug-likeness of the compounds. The obtained compounds were advanced to molecular docking employing the CDOCKER module available with Discovery Studio (DS). Subsequently, three compounds (Hits) have displayed a higher dock score and demonstrated key residue interactions with stable molecular dynamics simulation results compared to the reference compound. Taken together, we therefore put forth three identified Hits as FTIs that may further serve as chemical spaces in designing new compounds.
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