Entropy as a factor in the binding of γ-aminobutyric acid and nipecotic acid to the γ-aminobutyric acid transport system

Nipecotic acid is one of the most potent competitive inhibitors and alternative substrates for the high-affinity -aminobutyric acid transport system in neurons, but the structural basis of this potency is unclear. Because -aminobutyrate is a highly flexible molecule in solution, it would be expected to lose rotational entropy upon binding to the transport system, a change which does not favor binding. Nipecotic acid, in contrast, is a much less flexible molecule, and one would expect the loss of conformational entropy upon binding to be smaller thus favoring the binding of nipecotic acid over -aminobutyric acid. To investigate this possibility, the thermodynamic parameters, G°, H°, and S°, were determined for the binding of -aminobutyrate and nipecotic acid to the high affinity GABA transport system in synaptosomes. In keeping with expectations, the apparent entropy change for nipecotic acid binding (112±13 J·K^–1) was more favorable than the apparent entropy change for -aminobutyric acid binding (61.3±6.6 J·K^–1). The results suggest that restricted conformation per se is an important contributory factor to the affinity of nipecotic acid for the high-affinity transport system for -aminobutyric acid.This work was conducted when both authors were at the Department of Chemistry, University of Maryland, College Park.Special issue dedicated to Dr. Elling Kvamme.     

The translational stop signal: Codon with a context, or extended factor recognition element?

Wide ranging studies of the readthrough of translational stop codons within the last 25 years have suggested that the stop codon might be only part of the molecular signature for recognition of the termination signal. Such studies do not distinguish between effects on suppression and effects on termination, and so we have used a number of different approaches to deduce whether the stop signal is a codon with a context or an extended factor recognition element. A data base of natural termination sites from a wide range of organisms (148 organisms, 40000 sequences) shows a very marked bias in the bases surrounding the stop codon in the genes for all organisms examined, with the most dramatic bias in the base following the codon (+4). The nature of this base determines the efficiency of the stop signal in vivo, and in Escherichia coli this is reinforced by overexpressing the stimulatory factor, release factor-3. Strong signals, defined by their high relative rates of selecting the decoding release factors, are enhanced whereas weak signals respond relatively poorly. Site-directed cross-linking from the +1, and bases up to +6 but not beyond make close contact with the bacterial release factor-2. The translational stop signal is deduced to be an extended factor recognition sequence with a core element, rather than simply a factor recognition triplet codon influenced by context.     

细胞寒害的热力学熵理论(Ⅱ)──超熵产生作为寒害稳定性判据的理论研究

本文从物质和能量交换的角度,运用非平衡态热力学超熵产生理论,分析了寒害定态的稳定性,并建立了超熵产生判据．理论分析所得的结论与实验结果基本相符．     

Expression of heat shock proteins during development of barley

Barley heat shock proteins have been cloned, characterized by hybrid release translation and sequenced. Clones coding for proteins of 17, 18, 30, 32 and 70 kDa have been obtained. Out of these the 32 and 30 kDa proteins have been characterized as precursors to plastidic proteins of 26 kDa by posttranslational transport and by cDNA sequencing. The coding regions of these two transcribed genes are highly homologous. Accumulation of the plastid HSP as well as of HSP 70 as well as their corresponding mRNAs has been studied in 2- to 6-day old seedlings and in the 7-day old barley leaf. The mRNA for all investigated proteins were only found after a heat shock; the mRNA levels increase towards the tip of the leaf and with development. Furthermore, under the conditions used the mRNAs for all investigated heat shock proteins accumulate in parallel. Unexpectedly, both proteins, HSP 70 and HSP 26, are found by western blotting in the 2-day old control plants in the absence of any inducing heat shock. At later stages of development and in the leaf gradient only immunoreactivity with HSP 70 was observed. In contrast to the levels of their mRNAs the highest levels of HSP 30–26 and 70 have been observed in the basal segments indicating that translational control plays a role during HSP expression. Under severe heat shock a protein of 30 kDa is induced whose identity is not known but which reacts with the antibody to HSP 30–26 and might represent the accumulating precursors of the plastidic proteins.     

Insights into the local residual entropy of proteins provided by NMR relaxation.

A simple model is used to illustrate the relationship between the dynamics measured by NMR relaxation methods and the local residual entropy of proteins. The expected local dynamic behavior of well-packed extended amino acid side chains are described by employing a one-dimensional vibrator that encapsulates both the spatial and temporal character of the motion. This model is then related to entropy and to the generalized order parameter of the popular "model-free" treatment often used in the analysis of NMR relaxation data. Simulations indicate that order parameters observed for the methyl symmetry axes in, for example, human ubiquitin correspond to significant local entropies. These observations have obvious significance for the issue of the physical basis of protein structure, dynamics, and stability.     

The use of Taka-diastase in a[3H]poly(A) hybridization assay of oligo(U) sequences in RNA

A reliable assay of uridylate sequences longer than 10 is described. The procedure is based on the hybridization of [3H]poly(A) with poly(U) or oligo(U) sequences in high ionic conditions and a subsequent degradation of single stranded polynucleotides with purified Taka-diastase. A 1:2 complex between poly(A) and poly(U) is formed on which on poly(U) strand is digested by Taka-diastase. The procedure is especially suitable for the detection and quantitation of Un (n greater than 10) in RNA preparation.     

Information-theoretical entropy as a measure of sequence variability.

We propose the use of the information-theoretical entrophy, S = -sigman pi log2 pi, as a measure of variability at a given position in a set of aligned sequences. pi stands for the fraction of times the i-th type appears at a position. For protein sequences, the sum has up to 20 terms, for nucleotide sequences, up to 4 terms, and for codon sequences, up to 61 terms. We compare S and Vs, a related measure, in detail with Vk, the traditional measure of immunoglobulin sequence variability, both in the abstract and as applied to the immunoglobulins. We conclude that S has desirable mathematical properties that Vk lacks and has intuitive and statistical meanings that accord well with the notion of variability. We find that Vk and the S-based measures are highly correlated for the immunoglobulins. We show by analysis of sequence data and by means of a mathematical model that this correlation is due to a strong tendency for the frequency of occurrence of amino acid types at a given position to be log-linear. It is not known whether the immunoglobulins are typical or atypical of protein families in this regard, nor is the origin of the observed rank-frequency distribution obvious, although we discuss several possible etiologies.     

An Informational Approach to the Analysis of the Low-Frequency Neuronal Impulse Activity in the Rostral Hypothalamus

Statistical analysis of the low-frequency (1.0 sec^-1 and lower) neuronal impulse activity (IA) meets a few fundamental difficulties. Among them, the most significant is the small number of measurements (interspike intervals) recorded within an acceptable analysis epoch. In our study, we examined the possibility of using the normalized (by its maximum value) informational entropy (Hn) for estimation of the significance of changes in the IA generated by low-frequency neurons of the rostral hypothalamus after electrical stimulation of the prefrontal cortex. We compared the efficiencies of using the U-test (Kolmogorov–Mann–Whitney) and Hn estimate for the analysis of the same samples of neuronal responses. The results allow us to conclude that Hn is a significantly more acceptable estimate for detection of stimulation-induced modifications of the IA generated by low-frequency neurons, as compared with the U-test. The direction of shifts in the Hn value makes it possible to estimate the pattern of neuronal response. This value reflects the state of the neuron and correlates with the type of neuronal responses.