Bio-QuBIC: Optimized Bacteriorhodopsin Proteins for Photonic and Holographic Memory Storage

EIA-0129731Robert R. Birge Syracuse University大学名称：优化的细菌视紫红质蛋白质的光子和全息存储器-蛋白质细菌视紫红质正在优化的生物电子和光子的应用，通过定点诱变，随机诱变和定向进化。天然蛋白质具有许多特性，使其成为接近最佳的光子材料，但需要进一步优化以在计算机应用中实现有竞争力的性能。我们的目标是生成针对全息联想记忆和大规模体积记忆进行优化的蛋白质变体。 前一种存储系统基于傅里叶变换全息术，蛋白质将在热稳定性、量子效率和全息效率方面进行优化。大规模体积存储器是基于主光循环的分支反应。 通过提高热稳定性、支化效率和支化光产物的长期稳定性，该蛋白质正在为此应用进行优化。 基因工程是同时实现所有三个目标的最佳方法，定向进化正在被研究作为同时快速实现这些目标的一种可能方法。这是一个合作项目，涉及W。M.锡拉丘兹大学的凯克分子电子学中心和康涅狄格大学的分子生物学家。

EIA-0129731Robert R. BirgeSyracuse UniversityTitle: Optimized Bacteriorhodopsin Proteins for Photonic and HolographicMemory StorageThe protein bacteriorhodopsin is being optimized for bioelectronic and photonic applications through site directed mutagenesis, random mutagenesis and directed evolution. The native protein has many characteristics that make it a nearly optimal photonic material, but further optimization is necessary to achieve competitive performance in computer applications. The goal is to generate protein variants that are optimized for holographic associative memories and large scale volumetric memories. The former memory system is based on Fourier-transform holography, and the protein will be optimized for thermal stability, quantum efficiency and holographic efficiency. The large scale volumetric memory is based on a branching reaction out of the main photocycle. The protein is being optimized for this application by increasing thermal stability, branching efficiency and long-term stability of the branched photoproduct. Genetic engineering is the best method for achieving all three goals simultaneously, and directed evolution is being studied as one possible method of rapidly achieving these goals simultaneously. This is a collaborative project involving researchers at the W. M. Keck Center for Molecular Electronics at Syracuse University and molecular biologists at the University of Connecticut.