毒性筛选
绿色新化学品研发，需要早期毒性鉴定，预防发生风险。现有化学品评估要求快速进行毒性预测，以减少动物的使用，使用新技术提高评价的准确性，克服传统方法周期长和外推的不确定性。机构基于计算机辅助筛选、体外细胞筛选及体内动物筛选实验体系，建立分级筛选策略，对化合物和生物小分子的理化性质、ADME性质、毒理学和环境效应进行预测和筛选。通过CMR\EDC\PBT等危害终点预测，能够对物质毒性快速分级。结合计算模型暴露风险评估，为建立高危优先管理物质服务。
service items
1. In silicon Prediction
The self-built data platform and the public standard database were used to query the similarity compounds, and the QSAR method and the validation model were used to quickly predict the chemical, toxic and metabolic characteristics of the compounds. The service contents are as follows:
• Database virtual screening
• Physicochemical prediction
• Metabolic prediction
• Health impact prediction
• Environmental effect prediction
2. In Vitro Screening
Through high-throughput screening platform, cell culture and molecular biology methods were applied to rapidly screen the toxicity of compounds. The mechanism of drug discovery toxicity was studied to determine the critical path of toxicity. The content of the service is as follows:
• High content cell effect screening
• High throughput cytotoxicity screening
• Acute toxicity and genotoxicity
• Reproductive toxicity and EDC screening
• Target organ toxicity screening
3. In Vivo Screening
Model organisms such as rodents, zebrafish and transgenic organisms were used to screen compounds for toxicity. In vivo screening is to further verify the results of computer prediction and cell screening, to exclude the false positive results of screening, and to provide a reference for the pre-test of registered GLP test. The model creatures used are as follows:
• Acute rodent toxicity
• Aquatic toxicity screening
• Model animal toxicity screening
• Toxicity mechanism study
Application Field
研发阶段通过安全性筛选，做出初步风险预测，帮助企业作出风险决策。通过QSAR和交叉读数为化学品登记评估服务。依靠计算机预测、细胞培养方法和高通量筛选平台，鉴定毒性关键事件，建立MOA和AOP路径，对物质风险作出准确评估。
计算机风险预测
毒性机制MOA鉴定
AOP有害作用结局建立
Contact Us
Mr.Xing +86 024-62353435/ 18540366435
Ms.Li +86 024-85869185/ 18540366476