三阴性乳腺癌
吞吐量
PARP抑制剂
虚拟筛选
高通量筛选
癌症
乳腺癌
癌症研究
计算生物学
聚ADP核糖聚合酶
医学
计算机科学
肿瘤科
生物
内科学
药物发现
生物信息学
遗传学
电信
聚合酶
DNA
无线
作者
Shahrazad Polk,Mana Rassaeikashuk,Arun Kumar Balasubramaniam,Ramasamy Thilagavathi,Chelliah Selvam
标识
DOI:10.1002/slct.202500460
摘要
Abstract Triple‐negative breast cancer (TNBC) is a challenging and complex disease characterized by unique pathogenic features, poor prognosis, and a lack of specific treatment options compared to other breast cancer subtypes. Chemotherapy is currently the primary therapeutic approach, but low response rates highlight the significant need for more efficient therapeutic options. Poly (ADP‐ribose) polymerase 1 (PARP1) plays a critical role in the pathology of various diseases, including TNBC, and inhibiting PARP1 is a promising strategy for treatment, especially in the context of synthetic lethality in BRCA1/2 deficiencies often associated with TNBC. This study utilizes a structure‐based virtual high‐throughput screening of a library of 4.59 million lead‐like compounds from the ZINC database to identify potential inhibitors of PARP‐1 for TNBC treatment. The analysis identified 25 promising hits, further validated for their inhibition activity in vitro. The top 4 ranked compounds were selected based on their inhibition strength. The final hit ZINC000081009201, demonstrated good PARP inhibitory activity with an IC50 value of 1.4767 µM and was identified as having better physicochemical properties and good prospects for subsequent structural optimization to improve its activity to enhance the potency of PARP‐1 inhibitors for TNBC.
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