Abstract

Conformational conversion of the normal cellular isoform of the prion protein PrPC into an infectious isoform PrPSc causes pathogenesis in prion diseases. To date, numerous antiprion compounds have been developed to block this conversion and to detect the molecular mechanisms of prion inhibition using several computational studies. Thus far, no suitable drug has been identified for clinical use. For these reasons, more accurate and predictive approaches to identify novel compounds with antiprion effects are required. Here, we have applied an in silico approach that integrates our previously described pharmacophore model and fragment molecular orbital (FMO) calculations, enabling the ab initio calculation of protein-ligand complexes. The FMO-based virtual screening suggested that two natural products with antiprion activity exhibited good binding interactions, with hotspot residues within the PrPC binding site, and effectively reduced PrPSc levels in a standard scrapie cell assay. Overall, the outcome of this study will be used as a promising strategy to discover antiprion compounds. Furthermore, the SAR-by-FMO approach can provide extremely powerful tools in quickly establishing virtual SAR to prioritise compounds for synthesis in further studies.

Details

Title
Application of the fragment molecular orbital method to discover novel natural products for prion disease
Author
Choi, Jiwon 1 ; Hyo-Jin, Kim 2 ; Jin, Xuemei 3 ; Lim, Hocheol 3 ; Kim, Songmi 1 ; Roh, In-Soon 2 ; Hae-Eun Kang 2 ; Kyoung Tai No 4 ; Hyun-Joo Sohn 2 

 Bioinformatics and Molecular Design Research Center (BMDRC), Yonsei University, Seoul, Korea 
 OIE Reference Laboratory for CWD, Foreign Animal Disease Research Division, Animal and Plant Quarantine Agency, Gimcheon, Gyeongsangbukdo, Korea 
 Department of Biotechnology, Yonsei University, Seoul, Korea 
 Bioinformatics and Molecular Design Research Center (BMDRC), Yonsei University, Seoul, Korea; Department of Biotechnology, Yonsei University, Seoul, Korea 
Pages
1-9
Publication year
2018
Publication date
Aug 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2097574620
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.