Data-driven analysis of protein structure, function, and regulation

项目总结 蛋白质能够执行各种复杂的分子功能，并在所有 生物过程。对蛋白质之间关系的详细和定量的理解 序列及其生化特性将对生物学、医学、 和生物技术。我们正在开发数据驱动的方法来剖析蛋白质的分子基础 功能。我们的总体框架包括通过实验设计蛋白质序列的信息库 映射序列和功能之间的关系，并提取详细的功能信息 大型序列函数数据集。这项工作利用了DNA中的新兴技术和方法 测序和合成、微流控筛选、大规模统计学习和优化。我们会 开发可广泛应用于各种酶和膜研究的通用平台 运输蛋白。

PROJECT SUMMARY Proteins are capable of performing a wide variety of complex molecular functions and play a central role in all biological processes. A detailed and quantitative understanding of the relationship between a protein's sequence and it's biochemical properties would have a profound impact across all areas of biology, medicine, and biotechnology. We are developing data-driven approaches for dissecting the molecular basis of protein function. Our general framework involves designing informative libraries of protein sequences, experimentally mapping the relationship between sequence and function, and extracting detailed functional information from large sequence-function data sets. This work leverages emerging technologies and methods in DNA sequencing and synthesis, microfluidic screening, large-scale statistical learning, and optimization. We will develop generalizable platforms that can be applied to study a wide variety of enzymes and membrane transport proteins.