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Biomedical subjects

O G Berg

Publications and source records attributed to O G Berg.

At least 19 recordsLinked to original sources
PubMed1992

The evolutionary selection of DNA base pairs in gene-regulatory binding sites.

The DNA base-pair sequences that serve as gene-regulatory sites have been selected during evolution to provide an appropriate functional binding for a particular protein. In most cases, the function depends on the binding probability, which can be influenced both by the binding strength and by the abundance of the protein in the cell. As a consequence, the same function can be achieved with strong binding sites and a small amount of protein as with weak binding sites and a large amount of protein. However, increasing the protein burden will decrease the growth rate of the cells, even when all functions remain the same. Thus, for maximal growth, the protein levels should be as low as possible and the binding correspondingly strong. On the other hand, sequences with a weaker binding can be formed in many more ways and are, therefore, more probable, and random mutations are more likely to produce them. Thus, the selection pressure against an increased protein burden can be balanced against the random mutational drift in the recognition sequences, thereby tying together the statistics of base-pair choice, the binding strength, and the protein burden. In terms of this model, the selection pressure can be estimated from the properties of a gene-regulatory protein and its recognition sites. A key feature is the mutational randomization pressure that appears as a fundamental force shaping the optimal solutions that provide maximal growth. The model is tested on a number of gene-regulatory systems in Escherichia coli. The same principles should hold for all proteins for which overall activity in the cell is proportional to abundance; then the selective pressure to increase the efficiency of an individual protein cannot be larger than the selective pressure to decrease the total protein burden.

Base Composition↗
PubMed1991

Interfacial catalysis by phospholipase A2: determination of the interfacial kinetic rate constants.

Hydrolysis of vesicles of 1,2-dimyristoyl-sn-glycero-3-phosphomethanol (DMPM) by pig pancreatic phospholipase A2 (PLA2) occurs in a highly processive "scooting" mode, and the rate is comparable to or exceeds the rates observed with detergent-dispersed mixed micelles under optimal conditions. A complete kinetic description of the steady-state time course of the hydrolysis is developed. The analysis covers the whole Michaelis-Menten space: it emphasizes the key features of interfacial catalysis by a detailed theoretical analysis, describes the experimental protocols to determine the values of the kinetic and equilibrium constants for interfacial catalysis, and provides an interpretation of the effect of calcium, substrate, products, apparent activators, and competitive inhibitors on the reaction progress curve by a single set of rate and equilibrium parameters. In this paper, the integrated reaction progress curve was rigorously interpreted in terms of a minimal model involving the Michaelis-Menten reaction sequence in the interface: E* + S in equilibrium E*S----E*P in equilibrium E* + P, and most of the individual rate and equilibrium constants for the catalytic cycle were determined. This rigorous description of interfacial catalysis was made experimentally possible by examining the action of PLA2 in the scooting mode under conditions of at most one enzyme per vesicle, where it hydrolyzed all of the substrate in the outer monolayer of vesicles without leaving the surface. Other experimentally verified constraints for this analysis include the following: all enzyme was bound to vesicles; the integrity of vesicles was maintained during the course of hydrolysis; and the substrate, enzyme, and products did not exchange between vesicles nor did they exchange across the bilayer. The mechanistic significance of the rate constants is discussed in the accompanying papers.

Animals↗
PubMed1991

Interfacial catalysis by phospholipase A2: dissociation constants for calcium, substrate, products, and competitive inhibitors.

Interpretation of the kinetics of interfacial catalysis in the scooting mode as developed in the first paper of this series [Berg et al. (1991) Biochemistry 30 (first paper of six in this issue)], was based on the binding equilibrium for a ligand to the catalytic site of phospholipase A2. In this paper, we describe direct methods to determine the value of the Michaelis-Menten constant (KMS) for the substrate, as well as the equilibrium dissociation constants for ligands (KL) such as inhibitors (KI), products (KP), calcium (KCa), and substrate analogues (KS) bound to the catalytic site of phospholipase A2 at the interface. The KL values were obtained by monitoring the susceptibility to alkylation of His-48 at the catalytic site of pig pancreatic PLA2 bound to micellar dispersions of the neutral diluent 2-hexadecyl-sn-glycero-3-phosphocholine. The binding of the enzyme to dispersions of this amphiphile alone had little effect on the inactivation rate. The half-time for inactivation of the enzyme bound to micelles of the neutral diluent depended not only on the nature of the alkylating agent but also on the structure and the mole fraction of other ligands at the interface. The KL values for ligands obtained from the protection studies were in excellent accord with those obtained by monitoring the activation or inhibition of hydrolysis of vesicles of 1,2-dimyristoyl-sn-glycerophosphomethanol. Since only calcium, competitive inhibitors, and substrate analogues protected phospholipase A2 from alkylation, this protocol offered an unequivocal method to discern active-site-directed inhibitors from nonspecific inhibitors of PLA2, such as local anesthetics, phenothiazines, mepacrine, peptides related to lipocortin, 7,7-dimethyleicosadienoic acid, quinacrine, and aristolochic acid, all of which did not have any effect on the kinetics of alkylation nor did they inhibit the catalysis in the scooting mode.

Animals↗
PubMed1990

The influence of macromolecular crowding on thermodynamic activity: solubility and dimerization constants for spherical and dumbbell-shaped molecules in a hard-sphere mixture.

Macromolecules in solution can have large effects on the properties of other solutes through nonideal excluded-volume (crowding) interactions. Minton has calculated such effects by treating the macromolecules as a hard-sphere fluid in a background of an inert structureless solvent. In the present paper these calculations are extended by including the primary solvent as a separate component in a hard-sphere mixture. The results are in good agreement with experimental data. However, some predictions of this model differ drastically from those based on Minton's approach. Thus, much smaller effects from macromolecular crowding, particularly by smaller molecules, are expected. The present results also predict a much larger dependence on the shape of the molecules under study; notably for a dimerization reaction, it is found that the excluded-volume effects actually can destabilize side-by-side binding of two spherical molecules, while a dimerization to a spherical complex is stabilized. Therefore there will exist intermediate shapes of complexes whose stability is insensitive to crowded-volume effects. The consequences for crowding effects inside the living cell are also discussed.

Macromolecular Substances↗
PubMed1990

Base-pair specificity of protein-DNA recognition: a statistical-mechanical model.

The statistics of base-pair choice in individual recognition sites on DNA is shown to be determined by the functional binding requirements for recognition and a selection parameter. This selection parameter can be identified as a generalized external force required to deform a random-choice base-pair distribution into the observed specific-choice distribution. This external force is balanced by the randomization pressure which--driven by mutations--always tends to increase randomness in the base-pair choices. The model makes it possible to predict relative binding constants of particular recognition sequences based primarily on the statistics of base-pair usage. A further consequence of this formulation is that the randomization pressure appears explicitly as an important force shaping the evolutionary selection not only of DNA sites, but also of other properties involving macromolecular design.

Base Composition↗
PubMed1989

Facilitated target location in biological systems.

In this minireview we have attempted to provide some overall perspective on the question of how various forms of diffusion in reduced dimensions, or diffusion within a nonspecifically bound state, can speed biological interactions beyond the limits normally set by three-dimensional diffusion processes. To this end we began by discussing the rates expected for small molecules engaged in classical elastic collisions. We then proceeded to modify this picture by introducing first the features of inelastic macromolecular collisions in solution, then the effects of specific electrostatic fields set up around macromolecules of known structure at low ionic strengths, and finally the special rate enhancements available to DNA-protein interactions because of the particular geometry of the DNA molecule and the multiple conformations that can be assumed by the protein component. We hope that this exposition will help to clarify the subject for others and also will stimulate more focused examination of this type of problem, both in DNA-protein interaction systems and in other biological systems where such rate facilitation might apply.

DNA↗
PubMed1988

Selection of DNA binding sites by regulatory proteins: the LexA protein and the arginine repressor use different strategies for functional specificity.

The DNA sequences in the operator sites of the arginine regulon and of the SOS regulon have been subject to a statistical analysis. A quantitative correlation is found between the statistics of sequence choice and the activity at individual operator sites in both systems, as expected from theoretical considerations [Berg & von Hippel, J.Mol.Biol. (1987) 193, 723-750]. Based on these correlations it is possible to predict the effect of various sequence mutations. There is a significant difference in the slopes of the correlation lines between sequence and activity for the two systems. From this difference it can be expected that individual point mutations in the ARG boxes will have a much smaller effect on activity than similar changes in the SOS boxes. This difference may be related to a strong cooperative activity at tandem ARG boxes while the binding at SOS boxes appears to be mostly noncooperative.

Arginine↗
PubMed1988

Selection of DNA binding sites by regulatory proteins. II. The binding specificity of cyclic AMP receptor protein to recognition sites.

The statistics of base-pair usage within known recognition sites for a particular DNA-binding protein can be used to estimate the relative protein binding affinities to these sites, as well as to sites containing any other combinations of base-pairs. As has been described elsewhere, the connection between base-pair statistics and binding free energy is made by an equal probability selection assumption; i.e. that all base-pair sequences that provide appropriate binding strength are equally likely to have been chosen as recognition sites in the course of evolution. This is analogous to a statistical-mechanical system where all configurations with the same energy are equally likely to occur. In this communication, we apply the statistical-mechanical selection theory to analyze the base-pair statistics of the known recognition sequences for the cyclic AMP receptor protein (CRP). The theoretical predictions are found to be in reasonable agreement with binding data for those sequences for which experimental binding information is available, thus lending support to the basic assumptions of the selection theory. On the basis of this agreement, we can predict the affinity for CRP binding to any base-pair sequence, albeit with a large statistical uncertainty. When the known recognition sites for CRP are ranked according to predicted binding affinities, we find that the ranking is consistent with the hypothesis that the level of function of these sites parallels their fractional saturation with CRP-cAMP under in-vivo conditions. When applied to the entire genome, the theory predicts the existence of a large number of randomly occurring "pseudosites" with strong binding affinity for CRP. It appears that most CRP molecules are engaged in non-productive binding at non-specific or pseudospecific sites under in-vivo conditions. In this sense, the specificity of the CRP binding site is very low. Relative specificity requirements for polymerases, repressors and activators are compared in light of the results of this and the first paper in this series.

Base Sequence↗
PubMed1988

Selection of DNA binding sites by regulatory proteins. Functional specificity and pseudosite competition.

The frequency of base-pair occurrence in a set of recognition sequences for a particular DNA-binding protein is strongly related to the contributions to the binding free energy from the individual base pairs. Thus from the statistics of base-pair choice, it is possible to estimate the relative binding strengths of any base-pair sequences and to predict the effect of point mutations in specific sites. On the same basis, one can describe the binding properties of random DNA sequences and thereby the expected competitive effects from all the nonspecific DNA sites in the genome of a living cell. The statistical selection theory [Berg & von Hippel.J. Mol. Biol. 193 (1987) 723-750] describing these relations is extended and tested with computer simulations. The theory is shown to hold up well also in the case when base pairs contribute cooperatively to the binding interaction. The simulations also demonstrate the effects of the statistical small-sample uncertainty that appears due to the limited size of all sets of recognition sites identified.

Base Composition↗
PubMed1987

Selection of DNA binding sites by regulatory proteins. Statistical-mechanical theory and application to operators and promoters.

We present a statistical-mechanical selection theory for the sequence analysis of a set of specific DNA regulatory sites that makes it possible to predict the relationship between individual base-pair choices in the site and specific activity (affinity). The theory is based on the assumption that specific DNA sequences have been selected to conform to some requirement for protein binding (or activity), and that all sequences that can fulfil this requirement are equally likely to occur. In most cases, the number of specific DNA sequences that are known for a certain DNA-binding protein is very small, and we discuss in detail the small-sample uncertainties that this leads to. When applied to the binding sites for cro repressor in phage lambda, the theory can predict, from the sequence statistics alone, their rank order binding affinities in reasonable agreement with measured values. However, the statistical uncertainty generated by such a small sample (only 6 sites known) limits the result to order-of-magnitude comparisons. When applied to the much larger sample of Escherichia coli promoter sequences, the theory predicts the correlation between in vitro activity (k2KB values) and homology score (closeness to the consensus sequence) observed by Mulligan et al. (1984). The analysis of base-pair frequencies in the promoter sample is consistent with the assumption that base-pairs at different positions in the sites contribute independently to the specific activity, except in a few marginal cases that are discussed. When the promoter sites are ordered according to predicted activities, they seem to conform to the Gaussian distribution that results from a requirement for maximal sequence variability within the constraint of providing a certain average activity. The theory allows us to compare the number of specific sites with a certain activity to the number that would be expected from random occurrence in the genome. While strong promoters are "overspecified", in the sense that their probability of random occurrence is very low, random sequences with weak promoter-like properties are expected to occur in very large numbers. This leads to the conclusion that functional specificity is based on other properties in addition to primary sequence recognition; some possibilities are discussed. Finally, we show that the sequence information, as defined by Schneider et al. (1986), can be used directly (at least in the case of equilibrium binding sites) to estimate the number of protein molecules that are specifically bound at random "pseudosites" in the genome.(ABSTRACT TRUNCATED AT 400 WORDS)

Base Composition↗
PubMed1986

On the specificity of DNA-protein interactions.

In this paper we summarize the various factors that must be considered in establishing the operational specificity of the binding of a protein regulator of gene expression to a DNA target site. We consider informational (combinatorial) aspects of binding-site specification, actual recognition mechanisms, and the thermodynamics of target-site selection against a background of competing pseudospecific and non-(sequence)-specific DNA binding sites. The results provide insight into the design, specification, and possibly the evolution of regulatory proteins and their chromosomal binding targets, as well as into practical aspects of the design of regulatory-protein isolation schemes and physicochemical regulatory considerations in vivo.

Binding Sites↗
PubMed1985

Orientation constraints in diffusion-limited macromolecular association. The role of surface diffusion as a rate-enhancing mechanism.

Ligand association to a reactive site on a macromolecular surface could be very slow if the site is small. The effective capture radius of the reactive site can be significantly increased if the ligand can bind weakly to the nonspecific surface around the site and then slide in a two-dimensional diffusion along the surface. In this model, the diffusion along the surface has to be properly coupled with the free diffusion in solution and the effective bimolecular association rate constant to the reactive site can be calculated as a function of the nonspecific affinity. This is carried out both for a plane and spherical surface, modeling the association to a membrane receptor or to the catalytic site on an enzyme. The result of these calculations can be used to assign reasonable values to the parameters in the quasichemical approximation of K. Solc and W. H. Stockmayer (1973, Int. J. Chem. Kinet., 5:733-752). In this way a simple analytical expression can be derived for the diffusion-limited association rate constant of two asymmetrically reactive molecules, with or without surface diffusion contributing.

Binding Sites↗
PubMed1978

Association kinetics with coupled diffusion III. Ionic-strength dependence of the lac repressor-operator association.

The repressor-operator association is treated in a model where the repressor molecule can find its specific binding site, the operator, on a large DNA chain by performing a one-dimensional diffusion along the chain. The ionic-strength dependence is calculated by introducing a screened electrostatic potential around the DNA chain and coupling the free diffusion of the repressor in this potential to the proposed one-dimensional diffusion along the chain. The main influence on the association rate comes from the competitive binding of ions to the unspecific DNA sites. It is also demonstrated that during the time that the repressor is bound in a global sense, the diffusion along the chain will be made up of a strictly one-dimensional motion over fairly short distances, interspersed with many local dissociations during which the repressor in essence is free in solution.

Binding Sites↗