Cation-driven Optical Properties of Artificial Luciferases.
نویسندگان
چکیده
The present study demonstrates cation-driven optical properties of artificial luciferases (ALucs) from copepod luciferases, as an optical readout for bioanalysis. An assignment of the supersecondary structure code (SSC) of ALucs revealed that ALucs carry a helix-loop-helix structure, which appears at the same sites of the EF-hands of typical Ca(2+)-binding proteins. A mutagenesis study shows that the EF-hand-like structure is a pivotal site for enzymatic activity. The effects of 20 kinds of mono- and multivalent cations on ALuc activities were estimated with column-purified ALuc16. High pH values boost the ALuc activities with both the native coelenterazine and an analog called 6-pi-OH-CTZ. Multivalent cations, Ca(II), Mg(II), and Cr(VI), elevate and prolong the ALuc activities, whereas Co(II), Cu(II) and Pb(II) greatly hamper the ALuc activities. Ca(II) greatly prolongs the optical intensities, suggesting a contribution to the structural robustness of ALucs. The inhibitory effect of multivalent cations on the ALuc activities was utilized for creating dose-response curves. The intrinsic cation-driven selectivity and optical intensity of ALucs enable researchers to constitute de novo biosensors for multivalent cations.
منابع مشابه
Comparison of artificial neural network and multivariate regression methods in prediction of soil cation exchange capacity (Case study: Ziaran region)
Investigation of soil properties like Cation Exchange Capacity (CEC) plays important roles in study of environmental reaserches as the spatial and temporal variability of this property have been led to development of indirect methods in estimation of this soil characteristic. Pedotransfer functions (PTFs) provide an alternative by estimating soil parameters from more readily available soil data...
متن کاملA comparison between knowledge-driven fuzzy and data-driven artificial neural network approaches for prospecting porphyry Cu mineralization; a case study of Shahr-e-Babak area, Kerman Province, SE Iran
The study area, located in the southern section of the Central Iranian volcano–sedimentary complex, contains a large number of mineral deposits and occurrences which is currently facing a shortage of resources. Therefore, the prospecting potential areas in the deeper and peripheral spaces has become a high priority in this region. Different direct and indirect methods try to predict promising a...
متن کاملThe Application of Multi-Layer Artificial Neural Networks in Speckle Reduction (Methodology)
Optical Coherence Tomography (OCT) uses the spatial and temporal coherence properties of optical waves backscattered from a tissue sample to form an image. An inherent characteristic of coherent imaging is the presence of speckle noise. In this study we use a new ensemble framework which is a combination of several Multi-Layer Perceptron (MLP) neural networks to denoise OCT images. The noise is...
متن کاملOptical Filter Based On Point Defects in 2D Photonic Crystal Structur
In this paper, we proposed a novel structure for designing all optical filter based on photonic crystal structure. In designing the proposed filter, we simply employed a point defect localized between input and output waveguides as wavelength selecting part of the filter. The initial form of this filter is capable of selecting optical waves at =1560 nm, the transmission efficiency of the filte...
متن کاملImage quality improvement of diffuse optical tomography of breast tumor using artificial intelligence
This article has no abstract.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
دوره 31 10 شماره
صفحات -
تاریخ انتشار 2015