Antimicrobial peptide-lipid binding interactions and binding selectivity

Surface pressure measurements, external reflection-Fourier transform infrared spectroscopy, and neutron reflectivity have been used to investigate the lipid-binding behavior of three antimicrobial peptides: melittin, magainin II, and cecropin P1. As expected, all three cationic peptides were shown to interact more strongly with the anionic lipid, 1,2 dihexadecanoyl-sn-glycerol-3-(phosphor-rac-(1-glycerol)) (DPPG), compared to the zwitterionic lipid, 1,2 dihexadecanoyl-sn-glycerol-3-phosphocholine (DPPC). All three peptides have been shown to penetrate DPPC lipid layers by surface pressure, and this was confirmed for the melittin-DPPC interaction by neutron reflectivity measurements. Adsorption of peptide was, however, minimal, with a maximum of 0.4 mg m(-2) seen for melittin adsorption compared to 2.1 mg m(-2) for adsorption to DPPG (from 0.7 microM solution). The mode of binding to DPPG was shown to depend on the distribution of basic residues within the peptide alpha-helix, although in all cases adsorption below the lipid layer was shown to dominate over insertion within the layer. Melittin adsorption to DPPG altered the lipid layer structure observed through changes in the external reflection-Fourier transform infrared lipid spectra and neutron reflectivity. This lipid disruption was not observed for magainin or cecropin. In addition, melittin binding to both lipids was shown to be 50% greater than for either magainin or cecropin. Adsorption to the bare air-water interface was also investigated and surface activity followed the trend melittin>magainin>cecropin. External reflection-Fourier transform infrared amide spectra revealed that melittin adopted a helical structure only in the presence of lipid, whereas magainin and cecropin adopted helical structure also at an air-water interface. This behavior has been related to the different charge distributions on the peptide amino acid sequences.     

Cooperative ligand-lattice binding. Approximate Gaussian binding distribution

Nearest-neighbor cooperative binding of a ligand covering n sites and binding with equilibrium constant K and cooperativity factor omega to a large molecule with m binding sites (m much greater than n omega, n/omega) can be approximately described by a Gaussian distribution P(q-qmax), where q is the number of ligands bound and qmax the most probable value of q. The variance of the Gaussian is equal to the derivative dqmax/d ln(L), where L is the free ligand concentration. This variance, sigma 2, is a complicated function of qmax. However, in the limits of very large cooperativity, omega much greater than 1, very large anticooperativity, omega much less than 1, or noncooperativity, omega = 1, simpler expressions for sigma 2 can be given. For qmax = m/(n + 1), where the most probable number of bound ligands equals the number of free binding sites, sigma 2 has a particularly simple form: sigma 2 = 2m omega 1/2/(n + 1)3. The Gaussian and the infinite lattice approximations for the average number of ligands bound are good approximations only if sigma is much smaller than the number of binding sites. The variance may therefore provide an easy check on the validity of the infinite lattice approximation, which is commonly used to analyze experimental binding data.     

Detecting cis-regulatory binding sites for cooperatively binding proteins

Several methods are available to predict cis-regulatory modules in DNA based on position weight matrices. However, the performance of these methods generally depends on a number of additional parameters that cannot be derived from sequences and are difficult to estimate because they have no physical meaning. As the best way to detect cis-regulatory modules is the way in which the proteins recognize them, we developed a new scoring method that utilizes the underlying physical binding model. This method requires no additional parameter to account for multiple binding sites; and the only necessary parameters to model homotypic cooperative interactions are the distances between adjacent protein binding sites in basepairs, and the corresponding cooperative binding constants. The heterotypic cooperative binding model requires one more parameter per cooperatively binding protein, which is the concentration multiplied by the partition function of this protein. In a case study on the bacterial ferric uptake regulator, we show that our scoring method for homotypic cooperatively binding proteins significantly outperforms other PWM-based methods where biophysical cooperativity is not taken into account.     

Ligand binding with continuous modification of binding sites

Simultaneous formulation binding and structure modification of the binding site leads to binding process that can be analyzed within the framework of the non-linear theory of dynamic systems. Such an approach allows us to obtain several properties of the binding center: plurality of stationary (stable and unstable) states at binding, recognition of bistable and hysteretic binding modes. It is also shown that adsorption centre deformation leads to a S-shaped adsorption curve.     

Directed binding

We propose a novel physical mechanism to describe the mode of processive propagation of twoheaded kinesin motor proteins along microtubule (MT) filaments. Binding and unbinding of the kinesin heads to and from the MT filament play a crucial role in producing movement. The chemical energy of adenosine triphosphate hydrolysis is used in large part for the unbinding process of kinesin from the MT filament. Importantly, in our model, the binding of each head is to be directionally oriented to the MT filament. Therefore, we treat the two motor domains (heads) as extended objects that are connected with each other by a neck region that contains the kinesin dimerization domain. The head domains recognize tubulin binding sites by feeling the two-dimensional periodic potential from the MT surface and are also subjected to thermal noise. Using experimentally determined results regarding physical parameters of the walk, we develop a simple mathematical and mechanical model in which directed binding of the heads to tubulin results in a directed twist of the molecule, probably in the neck linker region, away from its relaxed state. Unbinding of the head from the filament relaxes the twist and defines the propagation direction. We showed that there must be at least two torsional springs (one for every head) involved that can store elastic energy. Consequently, in our model, it is the internal structure both of the relaxed and tensed-up state and the transition mode between them that define the walking direction of kinesin. We present calculations based on the model that are in good quantitative agreement with experimental observations for kinesin.     

Macromolecular binding

Formulas for the free energy of binding to a macromolecule are obtained by thermodynamic and statistical mechanical methods, and it is shown that the free energy of binding is intimately related with the binding polynomial and Wyman's binding potential. The expression for the free energy of binding is applied to a number of cases of ligand-induced conformational changes, cooperativity, association reactions, etc.     

Cooperative binding of polyamines induces the Escherichia coli single-strand binding protein-DNA binding mode transitions.

The Escherichia coli single-strand binding (SSB) protein is an essential protein involved in DNA replication, recombination, and repair processes. The tetrameric protein binds to ss nucleic acids in a number of different binding modes in vitro. These modes differ in the number of nucleotides occluded per SSB tetramer and in the type and degree of cooperative complexes that are formed with ss DNA. Although it is not yet known whether only one or all of these modes function in vivo, based on the dramatically different properties of the SSB tetramer in these different ss DNA binding modes, it has been suggested that the different modes may function selectively in replication, recombination, and/or repair. The transitions between these different modes are very sensitive to solution conditions, including salt (concentration, as well as cation and anion type), pH, and temperature. We have examined the effects of multivalent cations, principally the polyamine spermine, on the SSB-ss poly(dT) binding mode transitions and find that the transition from the (SSB)35 to the (SSB)56 binding mode can be induced by micromolar concentrations of polyamines as well as the inorganic cation Co(NH3)6(3+). Furthermore, these multivalent cations, as well as Mg2+, induce the binding mode transition by binding cooperatively to the SSB-poly(dT) complexes. These observations are interesting in light of the fact that polyamines, such as spermidine, are part of the ionic environment in E. coli and hence these cations are likely to affect the distribution of SSB-ss DNA binding modes in vivo.(ABSTRACT TRUNCATED AT 250 WORDS)     

双链RNA结合蛋白与双链RNA结合域

双链RNA(double stranded RNA,dsRNA)能引发细胞的抗病毒机制,其产生效应是因为作用于含有dsRNA结合域(dsRNA·binding domain,DRBD)的酶类和其他功能蛋白质,这些蛋白质能够特异性地识别并结合dsRNA,从而引起细胞应答.已有的资料表明DRBD不仅与dsRNA结合,还能与DNA或其他形式的RNA分子结合,而且有些蛋白质的DRBD不与任何核酸分子结合,仅起调节作用.另外,同种蛋白质的不同DRBD之间以及不同蛋白质的DRBD之间也能相互作用,从而形成复杂的蛋白质一蛋白质复合体,参与多种细胞代谢途径.因此,DRBD及其含有这些结构域的蛋白质可能具有多种功能.     

Determination of binding strength and kinetics of binding initiation

The adhesive properties of the mouse P388D1 macrophage-like line were explored. Cells were deposited in glass capillary tubes, and the kinetics of adhesion and spreading were studied. Binding involved the cell metabolism since it was decreased by cold, azide, or a divalent cation chelator. Glass-adherent cells were subjected to calibrated laminar shear flows with a highly viscous dextran solution. A tangential force of about 5×10⁻³ dyn/cell was required to achieve substantial detachment. The duration of application of the shearing force strongly influenced cell-substrate separation when this was varied from 1–10 s. Further, this treatment resulted in marked cell deformation, with the appearance of an elongated shape. Hence, cell-substrate separation is a progressive process, and binding strength is expected to be influenced by cell deformability. The minimum time required for adhesion was also investigated by making cells adhere under flow conditions. The maximum flow rate compatible with adhesion was about 1000-fold lower than that required to detach glass-bound cells. A simple model was devised to provide a quantitative interpretation for the experimental results of kinetic studies. It is concluded that cell-to-glass adhesion required a cell-substrate contact longer than a few seconds. This first step of adhesion was rapidly followed by a large (about 1000-fold) increase of adhesion strength. It is therefore emphasized that adhesion is heavily dependent on the duration of cell-to-cell encounter, as well as the force used to remove so-called unbound cells.     

Analysis of ligand binding process using binding capacity concept

Binding capacity is the homotropic second derivative of the binding potential with respect to the chemical potential of the ligand. It provides a measure of steepness of the binding isotherm and represents the extent of cooperativity. In the present study, the shape of the binding capacity curve for various systems was investigated and the relation between binding capacity and the extent of cooperativity examined. In this regard, a novel linear graphical method was introduced for binding data analysis. The stoichiometry of binding and the extent of cooperativity can be determined by this method. This method has been successfully applied to various systems such as binding of oxygen to hemoglobin, warfarin to human serum albumin and dodecyltrimethylammonium bromide to alpha-amylase.     

Thyroid hormone binding protein contains glycosylation site binding protein activity

Several lines of evidence provided by other workers indicate that within the same species thyroid hormone binding protein, the beta-subunit of prolyl hydroxylase, and protein disulfide isomerase are the same protein. We sought to determine if glycosylation site binding protein, a lumenal protein of the endoplasmic reticulum, also has the same primary structure. To accomplish this the level of glycosylation site binding protein (GSBP) activity, measured by photolabeling with a glycosylation site peptide probe, was carried out in preparations of 3T3 cells and in E. coli transformed with human thyroid hormone binding protein cDNA. The results strongly support the idea that GSBP is identical to these other lumenal proteins of the endoplasmic reticulum.     

Fine-tuning spermidine binding modes in the putrescine binding protein PotF

A profound understanding of the molecular interactions between receptors and ligands is important throughout diverse research, such as protein design, drug discovery, or neuroscience. What determines specificity and how do proteins discriminate against similar ligands? In this study, we analyzed factors that determine binding in two homologs belonging to the well-known superfamily of periplasmic binding proteins, PotF and PotD. Building on a previously designed construct, modes of polyamine binding were swapped. This change of specificity was approached by analyzing local differences in the binding pocket as well as overall conformational changes in the protein. Throughout the study, protein variants were generated and characterized structurally and thermodynamically, leading to a specificity swap and improvement in affinity. This dataset not only enriches our knowledge applicable to rational protein design but also our results can further lay groundwork for engineering of specific biosensors as well as help to explain the adaptability of pathogenic bacteria.     

Using binding profiles to predict binding sites of target RNAs

Prediction of RNA-RNA interaction is a key to elucidating possible functions of small non-coding RNAs, and a number of computational methods have been proposed to analyze interacting RNA secondary structures. In this article, we focus on predicting binding sites of target RNAs that are expected to interact with regulatory antisense RNAs in a general form of interaction. For this purpose, we propose bistaRNA, a novel method for predicting multiple binding sites of target RNAs. bistaRNA employs binding profiles that represent scores for hybridized structures, leading to reducing the computational cost for interaction prediction. bistaRNA considers an ensemble of equilibrium interacting structures and seeks to maximize expected accuracy using dynamic programming. Experimental results on real interaction data validate good accuracy and fast computation time of bistaRNA as compared with several competitive methods. Moreover, we aim to find new targets given specific antisense RNAs, which provides interesting insights into antisense RNA regulation. bistaRNA is implemented in C++. The program and Supplementary Material are available at http://rna.naist.jp/program/bistarna/.     

Single-stranded-RNA binding proteins

Our knowledge of protein interactions with RNA molecules has been, so far, largely restricted to cases in which the RNA itself is folded into a secondary and/or tertiary structure stabilised by intramolecular base pairing and stacking. Until recently, only limited structural information has been available about protein interactions with single-stranded RNA. A breakthrough in our understanding of these interactions came in 1999, with the determination of four crystal structures of protein complexes with extended single-stranded RNA molecules. These structures revealed wonderfully satisfying patterns of the ability of proteins to accommodate RNA bases, with the sugar-phosphate backbone often adopting conformations that are different from the classical double helix.