2019.01.02 Programmable Design of Protein Interaction Specificity and Logic Gates

2019-07-07 01:00:56

北京大学定量生物学中心

学术报告

    目:Programmable Design of Protein Interaction Specificity and Logic Gates

报告人:Dr. Zibo Chen

Senior Fellow, University of Washington

    间:1月2日(周三)14:00-15:00

    点:北京大学老化学楼东配楼101报告厅

主持人:来鲁华教授、王初研究员

 要:

Specificity of interactions between two DNA strands, or between protein and DNA, is often achieved by varying bases or side chains coming off the DNA or protein backbone—for example, the bases participating in Watson–Crick pairing in the double helix, or the side chains contacting DNA in TALEN–DNA complexes. By contrast, specificity of protein–protein interactions usually involves backbone shape complementarity, which is less modular and hence harder to generalize. Here we show that specificity of protein interactions can be achieved using extensive and modular side-chain hydrogen bond networks. We used the Crick generating equations to produce millions of four-helix backbones with varying degrees of supercoiling around a central axis, identified those accommodating extensive hydrogen bond networks, and used Rosetta to connect pairs of helices with short loops and to optimize the remainder of the sequence. Of 97 such designs expressed in Escherichia coli, 65 formed constitutive heterodimers, and the crystal structures of four designs were in close agreement with the computational models and confirmed the designed hydrogen bond networks. In cells, six heterodimers were fully orthogonal, and in vitro, following mixing of 32 chains from 16 heterodimer designs, denaturation in 5 M guanidine hydrochloride and reannealing, almost all of the interactions observed by native mass spectrometry were between the designed cognate pairs. We further combined these orthogonal set of heterodimers into protein-based logic gates, and experimentally validated protein-based AND, OR, NOT, NOR, NAND, and XNOR gates. The ability to design orthogonal protein heterodimers should enable sophisticated protein-based control logic for synthetic biology, and illustrates that nature has not fully explored the possibilities for programmable biomolecular interaction modalities.

报告人简介:

Dr. Zibo Chen received his B.S. in Life Sciences with a minor in Biophysics at National University of Singapore in 2013. From 2013-2018, he worked in Professor David Baker’s lab and got his Ph.D. in 2018.  He also received a dual degree in Nanotechnology at University of Washington in 2018. He is currently a senior fellow in University of Washington.