Highthroughput analysis of behavior for CNS applications

CNS 应用行为的高通量分析

基本信息

批准号：
6777491
负责人：
Daniela Brunner
金额：
$ 36.72万
依托单位：
PSYCHOGENICS, INC.
依托单位国家：
美国
项目类别：
财政年份：
2002
资助国家：
美国
起止时间：
2002-08-12 至 2005-07-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): This application is submitted in response to the NIMH research topic, neuroscience and basic behavioral science in the SBIR solicitation. The goal of this project is to alleviate the bottleneck in psychiatric drug and target discovery and characterization of novel mutants by using our expertise in behavioral pharmacology in mice to develop Smart cube, an automated high-throughput system of behavioral, neurological and physiological analysis. Smart cube will comprise innovative robotic-like hardware, and machine-learning algorithms to capture and integrate behavioral and physiological states. Smart Cube will be centered around a large pharmacological database comprised of drug profiles of antipsychotics, anxiolytics and other drugs of proven efficacy in humans and will be equipped with state of the art bioinformatics to provide rapid and accurate indices of the therapeutic potential of novel drugs. Smart cube will facilitate current behavioral research, drug discovery, target validation and fast characterization of mutant mice from target gene manipulation and mutagenesis efforts. Phase I of this Fast Track proposal will develop SmartCube to automatically classify mouse behavior, to characterize the behavioral response of inbred strains of mice under the influence of different pharmacological interventions covering anxiolytic and antipsychotic drugs and to develop an integrated non-invasive ECG in unrestrained mice, which will run simultaneously with the automated analysis of behavior. Phase II of this proposal, included in the accompanying application, will further develop SmartCube capabilities to automatically classify behaviors, discriminate between drug profiles and will develop Smart Base, a large collection of drug profiles, and its associated bioinformatic tools to perform sophisticated data mining. Commercial Value: There is a great need to improve data collection and analysis of drug candidates and mutants. By providing a substantial increase in the throughput of behavioral testing (about 100 fold), and normative data with accompanying bioinformatic tools, the Smart cube system will facilitate current behavioral research (by performing known standard models faster and more reliably), CNS novel drug discovery (by screening whole drug libraries) and CNS target validation (by quickly characterizing novel mutant mice). Smart Base, with its cumulative normative data in inbred mice will have great impact and value.

描述（由申请人提供）：本申请是为了响应 SBIR 征集中的 NIMH 研究主题、神经科学和基础行为科学而提交的。该项目的目标是利用我们在小鼠行为药理学方面的专业知识来开发智能立方体，这是一种行为、神经学和生理学分析的自动化高通量系统，从而缓解精神科药物和新型突变体靶点发现和表征的瓶颈。智能立方体将包括创新的类似机器人的硬件和机器学习算法，以捕获和整合行为和生理状态。 Smart Cube 将以一个大型药理学数据库为中心，其中包含抗精神病药、抗焦虑药和其他已证明对人类有效的药物的药物概况，并将配备最先进的生物信息学，以提供新药治疗潜力的快速、准确的指标。智能立方体将促进当前的行为研究、药物发现、目标验证以及通过目标基因操作和诱变工作对突变小鼠进行快速表征。该快速通道提案的第一阶段将开发 SmartCube，以自动对小鼠行为进行分类，表征近交系小鼠在不同药物干预措施（包括抗焦虑药和抗精神病药物）影响下的行为反应，并为不受约束的小鼠开发集成的非侵入性心电图，它将与行为的自动分析同时运行。该提案的第二阶段（包含在随附的申请中）将进一步开发 SmartCube 功能，以自动对行为进行分类、区分药物配置文件，并将开发 Smart Base、大量药物配置文件及其相关的生物信息工具来执行复杂的数据挖掘。商业价值：非常需要改进候选药物和突变体的数据收集和分析。通过大幅提高行为测试的吞吐量（约 100 倍）以及附带生物信息学工具的规范数据，智能立方体系统将促进当前的行为研究（通过更快、更可靠地执行已知标准模型）、中枢神经系统新药发现（通过筛选整个药物库）和中枢神经系统靶标验证（通过快速表征新型突变小鼠）。 Smart Base 凭借其在近交系小鼠中累积的规范数据将产生巨大的影响和价值。