Unknown

Dataset Information

0

Design of drug-like hepsin inhibitors against prostate cancer and kidney stones.


ABSTRACT: Hepsin, a transmembrane serine protease abundant in renal endothelial cells, is a promising therapeutic target against several cancers, particularly prostate cancer. It is involved in the release and polymerization of uromodulin in the urine, which plays a role in kidney stone formation. In this work, we design new potential hepsin inhibitors for high activity, improved specificity towards hepsin, and promising ADMET properties. The ligands were developed in silico through a novel hierarchical pipeline. This pipeline explicitly accounts for off-target binding to the related serine proteases matriptase and HGFA (human hepatocyte growth factor activator). We completed the pipeline incorporating ADMET properties of the candidate inhibitors into custom multi-objective optimization functions. The ligands designed show excellent prospects for targeting hepsin via the blood stream and the urine and thus enable key experimental studies. The computational pipeline proposed is remarkably cost-efficient and can be easily adapted for designing inhibitors against new drug targets.

SUBMITTER: Blay V 

PROVIDER: S-EPMC7452031 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Design of drug-like hepsin inhibitors against prostate cancer and kidney stones.

Blay Vincent V   Li Mu-Chun MC   Ho Sunita P SP   Stoller Mashall L ML   Hsieh Hsing-Pang HP   Houston Douglas R DR  

Acta pharmaceutica Sinica. B 20190928 7


Hepsin, a transmembrane serine protease abundant in renal endothelial cells, is a promising therapeutic target against several cancers, particularly prostate cancer. It is involved in the release and polymerization of uromodulin in the urine, which plays a role in kidney stone formation. In this work, we design new potential hepsin inhibitors for high activity, improved specificity towards hepsin, and promising ADMET properties. The ligands were developed <i>in silico</i> through a novel hierarc  ...[more]

Similar Datasets

| S-EPMC5166609 | biostudies-literature
| S-EPMC2709884 | biostudies-literature
| S-EPMC2875316 | biostudies-literature
| S-EPMC7010640 | biostudies-literature
| S-EPMC7483196 | biostudies-literature
| S-EPMC3132844 | biostudies-literature
2013-12-31 | GSE36165 | GEO
| S-EPMC4012739 | biostudies-literature
| S-EPMC2576550 | biostudies-literature
2023-10-24 | PXD033298 | Pride