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Novel scaffold evolution through combinatorial 3D-QSAR model studies of two types of JNK3 inhibitors

Authors
Jung, HoyongAman, WaciarHah, Jung-Mi
Issue Date
May-2017
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
JNK3; 3D-QSAR; Neurodegenerative disease
Citation
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, v.27, no.10, pp.2139 - 2143
Indexed
SCIE
SCOPUS
Journal Title
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
Volume
27
Number
10
Start Page
2139
End Page
2143
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9600
DOI
10.1016/j.bmcl.2017.03.063
ISSN
0960-894X
Abstract
JNK3 is an emerging target for neurodegenerative diseases including AD and PD, with histological selectivity. Specifically, in AD, JNK3 is the main protein kinase for APP phosphorylation, which is an important mechanism for A beta processing, and a biomarker of Alzheimer's disease. Therefore, targeting JNK3 is a reasonable strategy for drug discovery in neurodegenerative diseases. In order to find a novel scaffold for JNK3 inhibitors, we performed 3D-QSAR modeling studies with two different JNK3 inhibitor series. The CoMFA model was obtained with a q(2) value of 0.806 and an r(2) value of 0.850. Based on CoMFA and CoMSIA models, rational design was conducted and led to a novel scaffold, N-(thiophen-2-yl)-8H-pyrazolo [1,5-a]pyrido [1,2-c]pyrimidine-10-carboxamide. (C) 2017 Elsevier Ltd. All rights reserved.
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