Molecular origins of the multi-donor strategy in inducing bathochromic shifts and enlarging Stokes shifts of fluorescent proteins
Literature Information
Xia Wu, Davin Tan, Qinglong Qiao, Wenting Yin, Zhaochao Xu, Xiaogang Liu
Long-wavelength fluorescent proteins (LWFPs) and LWFP-based sensors are indispensable tools for bioimaging and biosensing applications. However, it remains challenging to develop LWFPs with outstanding brightness and/or sensitivities, largely due to the lack of simple and effective molecular design strategies. Herein, we rationalized the molecular origins of a multi-donor strategy that affords significant bathochromic shifts and large Stokes shifts with minimal structural changes in the resulting protein fluorophores. We analyzed three key factors that affect the spectral properties of these fluorophores, including the (1) substituent position, (2) electron-donating strength, and (3) number of electron-donating groups. We further demonstrated that this simple design strategy is generalizable to various fluorophore families. We expect that this work can provide rational guidelines for developing fluorescent proteins (and small-molecule fluorophores) with long emission wavelengths and large Stokes shifts.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.













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