Unknown

Dataset Information

0

Establishment of a screening protocol for identification of aminopeptidase N inhibitors.


ABSTRACT: Inhibitors of aminopeptidase N (APN) have been thought as potential drugs for the treatment of tumor angiogenesis, invasion and metastasis and a considerable number of APN inhibitors have been reported recently. To clarify the essential structure-activity relationship for the APN inhibitors as well as identify new potent leads against APN, pharmacophore models were established using structure- and common feature-based approaches and validated with a database of active and inactive compounds. These validated pharmacophores were then used in database screening for novel virtual leads. The hit compounds were further subjected to molecular docking studies to refine the retrieved hits. Finally, six structurally diverse compounds that showed strong interactions with the key amino acids and the zinc ion were selected for biological evaluation, where two hits showed more than 70% inhibition against APN at 60 ?M concentration. The evaluation results show the potential of our screening approach in identifying APN inhibitors.

SUBMITTER: Niu M 

PROVIDER: S-EPMC7172515 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Establishment of a screening protocol for identification of aminopeptidase N inhibitors.

Niu Miaomiao M   Wang Fengzhen F   Li Fang F   Dong Yaru Y   Gu Yueqing Y  

Journal of the Taiwan Institute of Chemical Engineers 20141231


Inhibitors of aminopeptidase N (APN) have been thought as potential drugs for the treatment of tumor angiogenesis, invasion and metastasis and a considerable number of APN inhibitors have been reported recently. To clarify the essential structure-activity relationship for the APN inhibitors as well as identify new potent leads against APN, pharmacophore models were established using structure- and common feature-based approaches and validated with a database of active and inactive compounds. The  ...[more]

Similar Datasets

| S-EPMC6919601 | biostudies-literature
| S-EPMC10448168 | biostudies-literature
| S-EPMC8548536 | biostudies-literature
| S-EPMC4127928 | biostudies-literature
| S-EPMC7180978 | biostudies-literature
| S-EPMC2823418 | biostudies-literature
| S-EPMC7546331 | biostudies-literature
| S-EPMC4003118 | biostudies-literature
2020-02-29 | E-MTAB-7742 | biostudies-arrayexpress
| S-EPMC4010122 | biostudies-literature