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P450nor is a heme-containing enzyme that catalyzes the conversion of nitric oxide (NO) to nitrous oxide (N2O). Its catalytic mechanism has attracted attention in chemistry, biology, and environmental engineering. The catalytic cycle of P450nor is proposed to consist of three major steps. The reaction mechanism for the last step, N2O generation, remains unknown. In this study, the reaction pathway of the N2O generation from the intermediate I was explored with the B3LYP calculations using an active center model after the examination of the validity of the model. In the validation, we compared the heme distortions between P450nor and other oxidoreductases, suggesting a small effect of protein environment on the N2O generation reaction in P450nor. We then evaluated the electrostatic environment effect of P450nor on the hydride affinity to the active site with quantum mechanics/molecular mechanics (QM/MM) calculations, confirming that the affinity was unchanged with or without the protein environment. The active center model for P450nor showed that the N2O generation process in the enzymatic reaction undergoes a reasonable barrier height without protein environment. Consequently, our findings strongly suggest that the N2O generation reaction from the intermediate I depends sorely on the intrinsic reactivity of the heme cofactor bound on cysteine residue. [ABSTRACT FROM AUTHOR]

Structure–function relationships in proteins have been one of the crucial scientific topics in recent research. Heme proteins have diverse and pivotal biological functions. Therefore, clarifying their structure–function correlation is significant to understand their functional mechanism and is informative for various fields of science. In this study, we constructed convolutional neural network models for predicting protein functions from the tertiary structures of heme-binding sites (active sites) of heme proteins to examine the structure–function correlation. As a result, we succeeded in the classification of oxygen-binding protein (OB), oxidoreductase (OR), proteins with both functions (OB–OR), and electron transport protein (ET) with high accuracy. Although the misclassification rate for OR and ET was high, the rates between OB and ET and between OB and OR were almost zero, indicating that the prediction model works well between protein groups with quite different functions. However, predicting the function of proteins modified with amino acid mutation(s) remains a challenge. Our findings indicate a structure–function correlation in the active site of heme proteins. This study is expected to be applied to the prediction of more detailed protein functions such as catalytic reactions. [ABSTRACT FROM AUTHOR]

Heme proteins serve diverse and pivotal biological functions. Therefore, clarifying the mechanisms of these diverse functions of heme is a crucial scientific topic. Distortion of heme porphyrin is one of the key factors regulating the chemical properties of heme. Here, we constructed convolutional neural network models for predicting heme distortion from the tertiary structure of the heme-binding pocket to examine their correlation. For saddling, ruffling, doming, and waving distortions, the experimental structure and predicted values were closely correlated. Furthermore, we assessed the correlation between the cavity shape and molecular structure of heme and demonstrated that hemes in protein pockets with similar structures exhibit near-identical structures, indicating the regulation of heme distortion through the protein environment. These findings indicate that the tertiary structure of the heme-binding pocket is one of the factors regulating the distortion of heme porphyrin, thereby controlling the chemical properties of heme relevant to the protein function; this implies a structure–function correlation in heme proteins. [ABSTRACT FROM AUTHOR]

Heme is involved in various biochemical roles in hemoproteins. In the present study, the effect of heme distortion on the redox potential was systematically investigated with density functional calculations. We focused on the ruffled and saddled distortions of heme, which correspond to the two lowest-frequency normal modes. Our computations demonstrated that the ruffled distortion tended to reduce the redox potential of heme and that the transition of the electronic configuration occurred from (dxz, dyz)3(dxy)2 to (dxz, dyz)4(dxy)1. In contrast, the saddled distortion had a tendency toward an increase in the redox potential, and no transition of the electronic configuration occurred. In experiments, these tendencies were found in the relationship between with the heme distortions and the redox potentials in cytochrome c3. © 2017 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Heme is located in the active site of proteins and has diverse and important biological functions, such as electron transfer and oxygen transport and/or storage. The distortion of heme porphyrin is considered an important factor for the diverse functions of heme because it correlates with the physical properties of heme, such as oxygen affinity and redox potential. Therefore, clarification of the relationship between heme distortion and the protein environment is crucial in protein science. Here, we analyzed the fluctuation in heme distortion in the protein environment for hemoglobin and myoglobin using molecular dynamics (MD) simulations and quantum mechanical (QM) calculations as well as statistical analysis of the protein structures of hemoglobin and myoglobin stored in Protein Data Bank. Our computation and statistical analysis showed that the protein environment for hemoglobin and myoglobin prominently affects the doming distortion of heme porphyrin, which correlates with its oxygen affinity, and that the magnitude of distortion is different between hemoglobin and myoglobin. These results suggest that heme distortion is affected by its protein environment and fluctuates around its fitted conformation, leading to physical properties that are appropriate for protein functions. [ABSTRACT FROM AUTHOR]

Graphical abstract Highlights • Statistical and quantum-chemical analysis of heme distortion was performed. • PCA implied oxidoreductases preferred ruffling distortions to regulate redox potentials. • LDA provided a characteristic heme distortion separating structural distributions. • We computed redox potentials and oxygen affinities of hemes with the characteristic distortions. • This distortion is related to the characteristic properties of oxidoreductases and oxygen carriers. Abstract We studied the effects of heme distortions on the chemical properties in two protein classes, oxidoreductases and oxygen carrier proteins, in the Protein Data Bank by a combination of statistics and quantum chemistry. A statistical analysis of heme distortion provided the characteristic distortions. They were reasonably correlated with the redox potentials and oxygen affinities evaluated by quantum chemical calculations, implying that heme proteins utilize these distortions to enhance their functions. The combination of statistical analysis and quantum chemical calculations is useful for the elucidation of the structure-function relationships. [ABSTRACT FROM AUTHOR]