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）：此申请是针对SBIR邀请中的NIMH研究主题，神经科学和基本行为科学提交的。该项目的目的是通过使用我们在小鼠行为药理学方面的专业知识来开发Smart Cube，这是一种自动化的行为，神经系统和生理分析的高通量系统，从而减轻精神药物的瓶颈，并通过使用我们的行为药理学专业知识来发现和对新型突变体的特征。 Smart Cube将包括创新的机器人式硬件以及机器学习算法，以捕获和整合行为和生理状态。 Smart Cube将集中在大型药理数据库中，该数据库由抗精神病药，抗焦虑药和其他可靠疗效的药物组成，并配备有最先进的生物信息学，以提供新型药物治疗潜力的快速和准确的独立性。 Smart Cube将促进当前的行为研究，药物发现，目标验证以及突变小鼠从靶基因操纵和诱变工作中的快速表征。该快速提案的第一阶段将开发SmartCube，以自动对鼠标行为进行分类，以表征小鼠的近交性菌株的行为反应，这是在涵盖抗焦虑和抗精神病药的不同药理干预措施的影响下，并在无抗抑郁的小鼠中发展出综合的非侵入性ECG，这将同时与自动分析的行为相同。随附的应用程序中包含的该提案的第二阶段将进一步发展SmartCube能力，以自动对行为进行分类，区分药物概况并将开发智能基础，大量药物概况及其相关的生物信息学工具以执行复杂的数据挖掘。商业价值：非常需要改善候选药物和突变体的数据收集和分析。通过提供行为测试的吞吐量（大约100倍）以及随附的生物信息学工具的规范性数据，智能立方体系统将促进当前的行为研究（通过更快，更可靠地进行已知的标准模型），CNS新颖的药物发现（通过筛选整个药物图书馆）和CNS目标验证（通过快速对新颖的新颖的变形）进行表征。智能基础，以及其在近交小鼠中的累积规范性数据将产生巨大的影响和价值。