Structure-based optimization and biological evaluation of trisubstituted pyrazole as a core structure of potent ROS1 kinase inhibitors
- Authors
- Park, Byung Sun; Al-Sanea, Mohammad M.; Abdelazem, Ahmed Z.; Park, Hye Mi; Roh, Eun Joo; Park, Hyun-Mee; Yoo, Kyung Ho; Sim, Taebo; Tae, Jin Sung; Lee, So Ha
- Issue Date
- 2014-08-01
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Citation
- BIOORGANIC & MEDICINAL CHEMISTRY, v.22, no.15, pp.3871 - 3878
- Abstract
- Recently inhibition of ROS1 kinase has proven to be a promising strategy for several indications such as glioblastoma, non-small cell lung cancer (NSCLC), and cholangiocarcinoma. Our team reported trisubstituted pyrazole-based ROS1 inhibitors by which two inhibitors showed good IC50 values in enzyme-based screening. To develop more advanced ROS1 inhibitors through SAR this trisubstituted pyrazole-based scaffold has been built. Consequently, 16 compounds have been designed, synthesized and shown potent IC50 values in the enzymatic assay, which are from 13.6 to 283 nM. Molecular modeling studies explain how these ROS1 kinase inhibitors revealed effectively the key interactions with ROS1 ATP binding site. Among these compounds, compound 9a (IC50 = 13.6 nM) has exerted 5 fold potency than crizotinib and exhibited high degree of selectivity (selectivity score value = 0.028) representing the number of non-mutant kinases with biological activity over 90% at 10 mu M. (C) 2014 Elsevier Ltd. All rights reserved.
- Keywords
- ANAPLASTIC LYMPHOMA KINASE; CELL LUNG-CANCER; TARGETING ROS1; GENE; DERIVATIVES; CRIZOTINIB; DESIGN; ANAPLASTIC LYMPHOMA KINASE; CELL LUNG-CANCER; TARGETING ROS1; GENE; DERIVATIVES; CRIZOTINIB; DESIGN; Cancer; Kinase inhibitor; NSCLC; ROS1; Structure-activity relationship; Suzuki coupling
- ISSN
- 0968-0896
- URI
- https://pubs.kist.re.kr/handle/201004/126495
- DOI
- 10.1016/j.bmc.2014.06.020
- Appears in Collections:
- KIST Article > 2014
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.