Studies of protein folding and dynamics using single molecule fluorescence spectroscopy
文献信息
Sujit Basak, Krishnananda Chattopadhyay
Single molecule fluorescence spectroscopy is emerging as an extremely powerful and sensitive tool to study complex biological problems. Single molecule fluorescence measurements can extract useful information that is hidden in the ensemble averaged biophysical or biochemical studies by virtue of their wide range of spatial and temporal resolution capabilities. With these advantages, single molecule fluorescence spectroscopy enables us to monitor the conformational states and their dynamics in the form of statistical distribution or time trajectory of physical observables. This review illustrates how the single molecule fluorescence spectroscopy has been used to solve questions on the complexity and heterogeneity of protein folding and dynamics.
期刊推荐

Advanced Engineering Materials

Journal of Enzyme inhibition and Medicinal Chemistry

Environmental Toxicology and Pharmacology

Molecules

Photochemical & Photobiological Sciences

Nature Reviews Drug Discovery

Journal of Medical Biochemistry

Angewandte Chemie International Edition

Foundations of Chemistry

CrystEngComm
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Physical Chemistry Chemical Physics

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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