多样性补充-猫眼课题宝

多样性补充

批准号：

10443343

负责人：

Pamela Peralta-Yahya

金额：

$7.26万

依托单位：

GEORGIA INSTITUTE OF TECHNOLOGY

依托单位国家：

美国

项目类别：

财政年份：

2017

资助国家：

美国

项目状态：

已结题

起止时间：

2017-09-01 至 2023-06-30

来源：

https://reporter.nih.gov/project-details/10443343

关键词：

Animal Behavior Area Award Behavior Cell Therapy Cell surface Cells Chemical Engineering Chemicals Clozapine Complex Coupled Coupling Crystallization Data Designer Drugs Development Docking Doctor of Philosophy Engineering Future G Protein-Coupled Receptor Signaling G-Protein-Coupled Receptors GTP-Binding Protein alpha Subunits, Gs Gene Expression Goals Laboratories Latina Libraries Ligands Link Logic Luciferases Machine Learning Mammalian Cell Mentors Muscarinics Mutation Orphan Oxides Pathway interactions Pharmaceutical Preparations Phenotype Plant Roots Receptor Signaling Reporter Genes Research STEM field Science Serotonin Signal Pathway Signal Transduction Structure Substrate Specificity Therapeutic Training Underrepresented Minority Woman Work Yeasts base beta-arrestin combinatorial desensitization designer receptors exclusively activated by designer drugs experience high throughput screening improved in vivo innovation kappa opioid receptors machine learning algorithm medical schools member mutant olfactory receptor physical science programs receptor response screening sensor technology serotonin receptor small molecule libraries tool

项目摘要

项目成果

Pamela Peralta-Yahya的其他基金

相似基金

相关文献

中文摘要

翻译

项目总结

英文摘要

Project Summary The goal of this Diversity Supplement Application is to provide an in-depth research experience and strengthen the scientific background of Paola Marquez-Gomez to enable her to access and thrive at a graduate program or medical school. Toward this goal, Paola will work on an extension project of the paneer award engineering an orthogonal Gαs-coupled Designer G protein-couple receptor activated by designer drug (DREADD) to enable the multiplex activation of GPCR signaling pathways in mammalian cells. This work is significant because multiplex activation of GPCR signaling in mammalian cells would allow the study of GPCR signaling crosstalk and its effect on cellular phenotype, and, in the future, animal behavior. This work is innovative because it leverages experimental and chemoinformatics data to train a machine learning algorithm to engineer the substrate specificity of GPCRs for which no crystal structure is available.

期刊论文(0)

专著(0)

科研奖励(0)

会议论文