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[软物质物理重点实验室系列学术报告(108)] Unraveling the structure of protein fitness landscapes
时间: 2017年08月28日 15:00
地点: 中国科学院物理研究所M楼253会议室
报告人: Dr. Lei Dai

University of California, Los Angeles

Abstract
Fitter proteins are selected by natural selection. The sequence-fitness mapping, i.e. fitness landscapes, is critical for understanding the mechanisms of protein evolution. Recently, the throughput of fitness assays has been improved substantially by deep sequencing. In this talk, I will present examples of how we integrate high-throughput experiments, bioinformatics, and quantitative analysis to uncover the statistical patterns and nonlinearity in protein fitness landscapes. Comprehensive characterization of the structure of fitness landscapes will guide the engineering of biomolecules and the design of effective strategies to limit antimicrobial resistance.

Bio
Lei Dai received B.S. in physics at University of Science and Technology of China and Ph.D. in physics at Massachusetts Institute of Technology. In his doctoral thesis research, he used laboratory microbial populations as a model system to investigate the spatiotemporal dynamics before population collapse. He was awarded the Outstanding Doctoral Thesis in Biological Physics by American Physical Society in 2014. Currently he is studying the evolution of biomolecules and microbes as a Jane Coffin Childs postdoctoral fellow at University of California Los Angeles.

References
1. Adaptation in protein fitness landscapes is facilitated by indirect paths
Wu, N.C.*, Dai, L.*, Olson, C.A., Sun, R.
eLife 5:e16965 (2016)
2. Relation between stability and resilience determines the performance of early warning signals under different environmental drivers
Dai, L., Korolev, K.S., Gore, J.
Proceedings of the National Academy of Sciences 112 (32), 10056-10061 (2015)
3. Slower recovery in space before collapse of connected populations
Dai, L., Korolev, K.S., Gore, J.
Nature 496, 355-358 (2013)
4. Generic indicators for loss of resilience before a tipping point leading to population collapse
Dai, L.*, Vorselen, D.*, Korolev, K.S., Gore, J.
Science 336, 1175-1177 (2012)

联系人:叶方富(联系电话:82649779)


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