Site-specific dichroism analysis utilizing transmission FTIR

Unnatural Amino Acids for Biological Spectroscopy and Microscopy

Due to advances in methods for site-specific incorporation of unnatural amino acids (UAAs) into proteins, a large number of UAAs with tailored chemical and/or physical properties have been developed and used in a wide array of biological applications. In particular, UAAs with specific spectroscopic characteristics can be used as external reporters to produce additional signals, hence increasing the information content obtainable in protein spectroscopic and/or imaging measurements. In this Review, we summarize the progress in the past two decades in the development of such UAAs and their applications in biological spectroscopy and microscopy, with a focus on UAAs that can be used as site-specific vibrational, fluorescence, electron paramagnetic resonance (EPR), or nuclear magnetic resonance (NMR) probes. Wherever applicable, we also discuss future directions.

Gaining insight into membrane protein structure using isotope-edited FTIR

FTIR spectroscopy has long been used as a tool used to gain average structural information on proteins. With the advent of stable isotope editing, FTIR can be used to derive accurate information on isolated amino acids. In particular, in an anisotropic sample such as membrane layers, it is possible to measure the orientation of the peptidic carbonyl groups. Herein, we review the theory that enables one to obtain accurate restraints from FTIR spectroscopy, alongside considerations for sample suitability and general applicability. We also propose approaches that may be used to generate structural models of simple membrane proteins based on FTIR orientational restraints. This article is part of a Special Issue entitled: FTIR in membrane proteins and peptide studies.

Bioinformatic approaches for the structure and function of membrane proteins

Membrane proteins play important roles in the biology of the cell, including intercellular communication and molecular transport. Their well-established importance notwithstanding, the high-resolution structures of membrane proteins remain elusive due to difficulties in protein expression, purification and crystallization. Thus, accurate prediction of membrane protein topology can increase the understanding of membrane protein function. Here, we provide a brief review of the diverse computational methods for predicting membrane protein structure and function, including recent progress and essential bioinformatics tools. Our hope is that this review will be instructive to users studying membrane protein biology in their choice of appropriate bioinformatics methods.