Abstract
Kallikrein 14 (KLK14) is a serine protease linked to several pathologies including prostate cancer and positively correlates with Gleason score. Though KLK14 functioning in cancer is poorly understood, it has been implicated in HGF/Met signaling, given that KLK14 proteolytically inhibits HGF activator-inhibitor 1 (HAI-1), which strongly inhibits pro-HGF activators, thereby contributing to tumor progression. In this work, KLK14 binding to either hepatocyte growth factor activator inhibitor type-1 (HAI-1) or type-2 (HAI-2) was essayed using homology modeling, molecular dynamic simulations and free-energy calculations through MM/PBSA and MM/GBSA. KLK14 was successfully modeled. Calculated free energies suggested higher binding affinity for the KLK14/HAI-1 interaction than for KLK14/HAI-2. This difference in binding affinity is largely explained by the higher stability of the hydrogen-bond networks in KLK14/HAI-1 along the simulation trajectory. A key arginine residue in both HAI-1 and HAI-2 is responsible for their interaction with the S1 pocket in KLK14. Additionally, MM/GBSA free-energy decomposition postulates that KLK14 Asp174 and Trp196 are hotspots for binding HAI-1 and HAI-2.
Original language | English |
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Pages (from-to) | 1246-1264 |
Number of pages | 19 |
Journal | Cell Biology International |
Volume | 41 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2017 |
Bibliographical note
Funding Information:The authors are grateful to Centro Nacional de Processa-mento de Alto Desempenho em São Paulo (CENAPAD-SP), and Laboratório de Genômica e Proteômica of the Universidade Estadual de Campinas (UNICAMP), for granting access to their computational facilities. The authors also thank also BioSolveIT GmbH (St. Augustin, Germany) for providing the program PoseView. This manuscript is part of the series on Prostate Cell Biology, in commemoration of the 20th anniversary of the publication by Carvalho and Line (1996) Cell Biol Int 20: 809. This study was funded by grants from FAPESP (Brazil) (Grant nr 2009/16150-6) and CNPq.
Publisher Copyright:
© 2017 International Federation for Cell Biology
Keywords
- HAI-1
- HAI-2
- HGF/Met signaling
- KLK14
- molecular dynamics simulations
- prostate cancer