单季戊四醇细菌回复突变试验分析数据

采集了化学品毒性数据，通过系统性的多步筛选策略和交叉参照评估方法，并结合毒性机理和毒理数据的分析得到用于计算的源物质信息，应用到单季戊四醇对于细菌回复突变试验的计算，分析得出单季戊四醇对细菌回复突变试验各类指标的科学数据，为进一步的毒性评估和安全性分析提供了依据。（1）数据来源：使用 QSAR Toolbox 4.7.1 软件，从该软件数据库中采集物质和毒性数据，涵盖生物累积、化学活性、生态毒性、经口毒性、皮肤刺激性等领域。
（2）数据处理：
初步筛选： 应用首要分类规则，从数据集中提取55396种物质作为初始筛选基础。
子分类筛选： 逐步实施以下5类分层筛选规则，具体为经合组织（OECD）DNA结合分析（子分类）、OASIS蛋白质结合分析（子分类）、化学元素分析（子分类）、示例优先排序方案（PBT）分析（子分类）、结构相似性分析（子分类）。
毒性机理与毒理数据分析：确定目标源物质，进行交叉参照计算，运用相似物法对单季戊四醇的细菌回复突变试验进行推算，获得单季戊四醇对细菌回复突变试验的科学数据。

This dataset collects chemical toxicity data. Using a systematic multi-step screening strategy and cross-reference evaluation method, combined with analysis of toxicity mechanisms and toxicological data, source substance information for computational use was derived. This information was applied to calculate the bacterial reverse mutation assay results for monopentaerythritol, and scientific data for various indicators of the bacterial reverse mutation assay of monopentaerythritol were generated through analysis, providing a foundation for further toxicity assessment and safety analysis.
(1) Data Source: Substance and toxicity data were collected from the database of QSAR Toolbox 4.7.1 software, covering fields including bioaccumulation, chemical reactivity, ecotoxicity, oral toxicity, skin irritation and other related areas.
(2) Data Processing:
Preliminary Screening: Primary classification rules were applied to extract 55,396 substances from the dataset as the basis for initial screening.
Subclass Screening: The following 5 types of layered screening rules were implemented step by step: Organisation for Economic Co-operation and Development (OECD) DNA binding assay (subclass), OASIS protein binding assay (subclass), chemical element analysis (subclass), Persistent, Bioaccumulative, and Toxic (PBT) analysis based on the example prioritization scheme (subclass), and structural similarity analysis (subclass).
Toxicity Mechanism and Toxicological Data Analysis: Target source substances were identified, cross-reference calculations were conducted, and the analog approach was used to extrapolate the bacterial reverse mutation assay data of monopentaerythritol, thereby obtaining the scientific data of monopentaerythritol for various indicators of the bacterial reverse mutation assay.

搜集汇总

背景与挑战

背景概述

该数据集提供了单季戊四醇的细菌回复突变试验分析数据，涵盖多种毒性、生物降解性和生物蓄积性指标，数据规模为27813条，适用于化学品毒性评估和安全性分析。