Conformational changes are central to protein function but challenging to characterize with both high spatial and temporal precision. The inherently fast time scale and small chromophores of infrared (IR) spectroscopy are well-suited for characterization of potentially rapidly fluctuating environments, and when frequency-resolved probes are incorporated to overcome spectral congestion, enable characterization of specific sites in proteins. We selectively incorporated p-cyanophenylalanine (CNF) as a vibrational probe at five distinct locations in the enzyme cytochrome P450cam and used IR spectroscopy to characterize the environments in substrate and/or ligand complexes reflecting those in the catalytic cycle. Molecular dynamics (MD) simulations were performed to provide a structural basis for spectral interpretation. Together the experimental and simulation data suggest that the CN frequencies are sensitive to both long-range influences, resulting from the particular location of a residue within the enzyme, as well as short-range influences from hydrogen bonding and packing interactions. The IR spectra demonstrate that the environments and effects of substrate and/or ligand binding are different at each position probed and also provide evidence that a single site can experience multiple environments. This study illustrates how IR spectroscopy, when combined with the spectral decongestion and spatial selectivity afforded by CNF incorporation, provides detailed information about protein structural changes that underlie function.

Conformational heterogeneity and dynamics likely contribute to the remarkable activity of enzymes but are challenging to characterize experimentally. These features are of particular interest within the cytochrome P450 class of monooxygenases, which are of great academic, medicinal, and biotechnological interest as they recognize a broad range of substrates, such as various lipids, steroid precursors, and xenobiotics, including therapeutics. Here, we use linear and 2D IR spectroscopy to characterize the prototypical P450, cytochrome P450cam, bound to three different substrates, camphor, norcamphor, or thiocamphor, which are hydroxylated with high, low, and intermediate regioselectivity, respectively. The data suggest that specific interactions with the substrate drive the population of two different conformations, one that is associated with high regioselectivity and another associated with lower regioselectivity. Although Y96 mediates a hydrogen bond thought necessary to orient the substrate for high regioselectivity, the population and dynamics of the conformational states are largely unaltered by the Y96F mutation. This study suggests that knowledge of the conformational landscape is central to understanding P450 activity, which has important practical ramifications for the design of therapeutics with optimized pharmacokinetics, and the manipulation of P450s, and possibly other enzymes, for biotechnological applications.

Conformational heterogeneity and dynamics are increasingly evoked in models of protein molecular recognition but are challenging to experimentally characterize. Here we combine the inherent temporal resolution of infrared (IR) spectroscopy with the spatial resolution afforded by selective incorporation of carbon-deuterium (C–D) bonds, which provide frequency-resolved absorptions within a protein IR spectrum, to characterize the molecular recognition of the Src homology 3 (SH3) domain of the yeast protein Sho1 with its cognate proline-rich (PR) sequence of Pbs2. The IR absorptions of C–D bonds introduced at residues along a peptide of the Pbs2 PR sequence report on the changes in the local environments upon binding to the SH3 domain. Interestingly, upon forming the complex the IR spectra of the peptides labeled with C–D bonds at either of the two conserved prolines of the PXXP consensus recognition sequence show more absorptions than there are C–D bonds, providing evidence for the population of multiple states. In contrast, the NMR spectra of the peptides labeled with 13C at the same residues show only single resonances, indicating rapid interconversion on the NMR time scale. Thus, the data suggest that the SH3 domain recognizes its cognate peptide with a component of induced fit molecular recognition involving the adoption of multiples states, which have previously gone undetected due to interconversion between the populated states that is too fast to resolve using conventional methods.

Local heterogeneity of microenvironments in proteins is important in biological function, but difficult to characterize experimentally. One approach is the combination of infrared (IR) spectroscopy and site-selective incorporation of probe moieties with spectrally resolved IR absorptions that enable characterization within inherently congested protein IR spectra. We employed this method to study molecular recognition of a Src homology 3 (SH3) domain from the yeast protein Sho1 for a peptide containing the proline-rich recognition sequence of its physiological binding partner Pbs2. Nitrile IR probes were introduced at four distinct sites in the protein by selective incorporation of p-cyanophenylalanine via the amber codon suppressor method and characterized by IR spectroscopy. Variation among the IR absorption bands reports on heterogeneity in local residue environments dictated by the protein structure, as well as on residue-dependent changes upon peptide binding. The study informs on the molecular recognition of SH3Sho1 and illustrates the speed and simplicity of this approach for characterization of select microenvironments within proteins.

The broad and variable substrate specificity of cytochrome P450 enzymes makes them a model system for studying the determinants of protein molecular recognition. The archetypal cytochrome P450cam (P450cam) is a relatively specific P450, a feature once attributed to the high rigidity of its active site. However, increasingly studies have provided evidence of the importance of conformational changes to P450cam activity. Here we used infrared (IR) spectroscopy to investigate the molecular recognition of P450cam. Toward this goal, and to assess the influence of a hydrogen bond (H-bond) between active site residue Y96 and substrates, two variants in which Y96 is replaced by a cyanophenyl (Y96CNF) or phenyl (Y96F) group were characterized in complexes with the substrates camphor, isoborneol, and camphane. These combinations allow for a comparison of complexes in which the moieties on both the protein and substrate can serve as a H-bond donor, acceptor, or neither. The IR spectra of heme-bound CO and the site-specifically incorporated CN of Y96CNF were analyzed to characterize the number and nature of environments in each protein, both in the free and bound states. Although the IR spectra do not support the idea that protein–substrate H-bonding is central to P450cam recognition, the data altogether suggest that the differing conformational heterogeneity in the active site of the P450cam variants and changes in heterogeneity upon binding of different substrates likely contribute to their variable affinities via a conformational selection mechanism. This study further extends our understanding of the molecular recognition of archetypal P450cam and demonstrates the application of IR spectroscopy combined with selective protein modification to delineate protein–ligand interactions.