Estimation of amino acid pairs sensitive to variants in human phenylalanine hydroxylase protein by means of a random approach

In this data-based theoretical analysis, we use a random approach to estimate amino acid pairs in human phenylalanine 4-hydroxylase (PAH) protein in order to determine which amino acid pairs are more sensitive to 187 variants in human PAH protein. The rationale of this study is based on our hypothesis and previous findings that the harmful variants are more likely to occur at randomly unpredictable amino acid pairs rather than at randomly predictable pairs. This is reasonable to argue as randomly predictable amino acid pairs are less likely to be deliberately evolved, whereas randomly unpredictable amino acid pairs are probably deliberately evolved in connection with protein function. 94.12% of 187 variants occurred at randomly unpredictable amino acid pairs, which accounted for 71.84% of 451 amino acid pairs in human PAH protein. The chance of a variant occurring is five times higher in randomly unpredictable amino acid pairs than in predictable pairs. Thus, randomly unpredictable amino acid pairs are more sensitive to variance in human PAH protein. The results also suggest that the human PAH protein has a natural tendency towards variants.     

Determination of amino acid pairs in human p53 protein sensitive to mutations/variants by means of a random approach

This is the continuation of our studies using random approaches to analyse the p53 protein family. In this data-based theoretical analysis, we use the random approach to analyse the amino acid pairs in human p53 protein in order to determine which amino acid pairs are more sensitive to 190 human p53 mutations/variants. The rationale of this study is based on our hypothesis and findings that a harmful mutation is more likely to occur at randomly unpredictable amino acid pairs, and a harmless mutation is more likely to occur at randomly predictable amino acid pairs. This is because we argue that the randomly predictable amino acid pairs should not be deliberately evolved, whereas the randomly unpredictable amino acid pairs should be deliberately evolved with a connection to protein function. The results show, for example, that 93.16% of 190 mutations/variants occur at randomly unpredictable amino acid pairs. Thus, the randomly unpredictable amino acid pairs are more sensitive to mutations/variants in human p53 protein. The results also suggest that the human p53 protein has a tendency for the occurrence of mutation/variants.     

The synthesis and study of side-chain lactam-bridged peptides

Side-chain lactam bridges linking amino acid residues that are spaced several residues apart in the linear sequence offer a convenient and flexible method for introducing conformational constraints into a peptide structure. The availability of a variety of selectively cleavable protecting groups for amines and carboxylic acids allows for several approaches to the synthesis of monocyclic, dicyclic, and bicyclic lactam-bridged peptides by solid-phase methods. Multicyclic structures are also accessible, but segment-condensation syntheses with solution-phase cyclizations are most likely to provide the best synthetic approach to these more complex constrained peptides. Lactam bridges linking (i, i + 3)-, (i, i + 4), and (i, i + 7)-spaced residue pairs have all proven useful for stabilization of alpha helices, and (i, i + 3)-linked residues have also been demonstrated to stabilize beta-turns. These structures are finding an increasing number of applications in protein biology, including studies of protein folding, protein aggregation, peptide ligand-receptor recognition, and the development of more potent peptide therapeutics. Defining the functional roles of the amphiphilic alpha-helices in medium-sized peptide hormones, and studying helix propagation from rigid, alpha-helix initiating bicyclic peptides are among the most exciting developments currently underway in this field.     

Determination of amino acid pairs sensitive to variants in human beta-glucocerebrosidase by means of a random approach

In this data-based theoretical analysis, we use the random approach to analyse the amino acid pairs in human beta-glucocerebrosidase in order to determine which amino acid pairs are more sensitive to 109 variants from missense mutant human glucocerebrosidase. The rationale of this study is based on our hypothesis and findings that the harmful variants are more likely to occur at randomly unpredictable amino acid pairs and the non-harmful variants are more likely to occur at randomly predictable amino acid pairs. This is because we argue that the randomly predictable amino acid pairs should not be deliberately evolved, whereas the randomly unpredictable amino acid pairs should be deliberately evolved with connection of protein function. The results show, for example, that 93.58% of 109 variants occur at randomly unpredictable amino acid pairs, which account for 71.40% of amino acid pairs in glucocerebrosidase, and the chance of occurrence of the variant is about 4.4 times higher in randomly unpredictable amino acid pairs than in predictable pairs. Hence the randomly unpredictable amino acid pairs are more sensitive to variants in human glucocerebrosidase. The results also suggest that human glucocerebrosidase has a natural tendency to variants.     

Amino acid pairs susceptible to variants in human protein C precursor

In this study, we analyze the amino acid pairs in human protein C precursor to determine which amino acid pairs are more susceptible to 71 variants from missense mutant human protein C precursor. The results show 85.92% of 71 variants occur at randomly unpredictable amino acid pairs accounting for 61.96% of amino acid pairs in protein C.     

Equilibrium thermodynamics of cell-cell adhesion mediated by multiple ligand-receptor pairs

In many situations, cell-cell adhesion is mediated by multiple ligand-receptor pairs. For example, the interaction between T cells and antigen-presenting cells of the immune system is mediated not only by T cell receptors and their ligands (peptide-major histocompatibility complex) but also by binding of intracellular adhesion molecules. Interestingly, these binding pairs have different resting lengths. Fluorescent labeling reveals segregation of the longer adhesion molecules from the shorter T cell receptors in this case. Here, we explore the thermal equilibrium of a general cell-cell interaction mediated by two ligand-receptor pairs to examine competition between the elasticity of the cell wall, nonspecific intercellular repulsion, and bond formation, leading to segregation of bonds of different lengths at equilibrium. We make detailed predictions concerning the relationship between physical properties of the membrane and ligand-receptor pairs and equilibrium pattern formation, and suggest experiments to refine our understanding of the system. We demonstrate our model by application to the T cell/antigen-presenting-cell system and outline applications to natural killer cell adhesion.     

Fluorescent Protein Based FRET Pairs with Improved Dynamic Range for Fluorescence Lifetime Measurements

Fluorescence Resonance Energy Transfer (FRET) using fluorescent protein variants is widely used to study biochemical processes in living cells. FRET detection by fluorescence lifetime measurements is the most direct and robust method to measure FRET. The traditional cyan-yellow fluorescent protein based FRET pairs are getting replaced by green-red fluorescent protein variants. The green-red pair enables excitation at a longer wavelength which reduces cellular autofluorescence and phototoxicity while monitoring FRET. Despite the advances in FRET based sensors, the low FRET efficiency and dynamic range still complicates their use in cell biology and high throughput screening. In this paper, we utilized the higher lifetime of NowGFP and screened red fluorescent protein variants to develop FRET pairs with high dynamic range and FRET efficiency. The FRET variations were analyzed by proteolytic activity and detected by steady-state and time-resolved measurements. Based on the results, NowGFP-tdTomato and NowGFP-mRuby2 have shown high potentials as FRET pairs with large fluorescence lifetime dynamic range. The in vitro measurements revealed that the NowGFP-tdTomato has the highest Förster radius for any fluorescent protein based FRET pairs yet used in biological studies. The developed FRET pairs will be useful for designing FRET based sensors and studies employing Fluorescence Lifetime Imaging Microscopy (FLIM).     

Regulation of VL30 gene expression by activators of protein kinase C

The mouse genome contains a retrovirus-like sequence, designated VL30, which is expressed at high levels in transformed cells and which can be induced by exogenously supplied epidermal growth factor (EGF). Binding of EGF to the EGF receptor produces changes in intracellular calcium levels and phospholipase activity which indirectly lead to activation of protein kinase C. We treated AKR-2B cells, Swiss 3T3 cells, and the 3T3 variants NR6 (EGF receptorless) and TNR9 (phorbol ester nonresponsive) with various phorbol ester tumor promoters and with the synthetic diacylglycerol sn-1,2-dioctanoylglycerol. Tumor-promoting phorbol esters (e.g. 12-O-tetradecanoyl phorbol acetate (TPA] increased the level of VL30 expression. Stimulation with either TPA or EGF produced a similar time course of VL30 expression. TPA induced VL30 expression in the EGF-receptorless NR6 cell line, indicating that neither EGF ligand-receptor binding nor phosphorylation of the EGF receptor was required for induction of VL30 expression. Protein synthesis was not required for the TPA-mediated increase in VL30 expression, as pretreatment with cycloheximide did not block or reduce the TPA effect. VL30 expression was also stimulated by treatment with sn-1,2-dioctanoylglycerol, an analog of a probable endogenous activator of protein kinase C. These results suggest that activation of protein kinase C plays a direct role in regulating VL30 expression.     

Analysis of amino acid pairs sensitive to variants in human collagen alpha5(IV) chain precursor by means of a random approach

In this data-based theoretical analysis, we use the random approach to analyze the amino acid pairs in 5(IV) chain precursor (CA54) in order to determine which amino acid pairs are more sensitive to 151 variants from missense mutant human CA54 protein. The rationale of this study is based on our hypothesis and previous findings that harmful variance is more likely to occur at randomly unpredictable amino acid pair position rather than at randomly predictable positions. This is reasonable to argue as randomly predictable amino acid pairs are less likely to be deliberately evolved, whereas randomly unpredictable amino acid pairs are probably deliberately evolved in connection with protein function. The results show that all 151 variants occurred at randomly unpredictable amino acid pairs and the chance of a variant occurring is markedly higher in randomly unpredictable amino acid pairs than in predictable pairs. Thus, randomly unpredictable amino acid pairs are more sensitive to variance in human CA54. The results also suggest that the human CA54 protein has a natural tendency towards variants.     

Selective chemical labeling of proteins in living cells

Labeling proteins with fluorophores, affinity labels or other chemically or optically active species is immensely useful for studying protein function in living cells or tissue. The use of genetically encoded green fluorescent protein and its variants has been particularly valuable in this regard. In an effort to increase the diversity of available protein labels, various efforts to append small molecules to selected proteins in vivo have been reported. This review discusses recent advances in selective, in vivo protein labeling based on small molecule ligand-receptor interactions, intein-mediated processes, and enzyme-catalyzed protein modifications.     

The Role of Protein Interactions in Mediating Essentiality and Synthetic Lethality

Genes are characterized as essential if their knockout is associated with a lethal phenotype, and these “essential genes” play a central role in biological function. In addition, some genes are only essential when deleted in pairs, a phenomenon known as synthetic lethality. Here we consider genes displaying synthetic lethality as “essential pairs” of genes, and analyze the properties of yeast essential genes and synthetic lethal pairs together. As gene duplication initially produces an identical pair or sets of genes, it is often invoked as an explanation for synthetic lethality. However, we find that duplication explains only a minority of cases of synthetic lethality. Similarly, disruption of metabolic pathways leads to relatively few examples of synthetic lethality. By contrast, the vast majority of synthetic lethal gene pairs code for proteins with related functions that share interaction partners. We also find that essential genes and synthetic lethal pairs cluster in the protein-protein interaction network. These results suggest that synthetic lethality is strongly dependent on the formation of protein-protein interactions. Compensation by duplicates does not usually occur mainly because the genes involved are recent duplicates, but is more commonly due to functional similarity that permits preservation of essential protein complexes. This unified view, combining genes that are individually essential with those that form essential pairs, suggests that essentiality is a feature of physical interactions between proteins protein-protein interactions, rather than being inherent in gene and protein products themselves.     

Identification of ligands for two human bitter T2R receptors

Earlier, a family of G protein-coupled receptors, termed T2Rs, was identified in the rodent and human genomes through data mining. It was suggested that these receptors mediate bitter taste perception. Analysis of the human genome revealed that the hT2R family is composed of 25 members. However, bitter ligands have been identified for only three human receptors so far. Here we report identification of two novel ligand-receptor pairs. hT2R61 is activated by 6-nitrosaccharin, a bitter derivative of saccharin. hT2R44 is activated by denatonium and 6-nitrosaccharin. Activation profiles for these receptors correlate with psychophysical data determined for the bitter compounds in human studies. Functional analysis of hT2R chimeras allowed us to identify residues in extracellular loops critical for receptor activation by ligands. The discovery of two novel bitter ligand-receptor pairs provides additional support for the hypothesis that hT2Rs mediate a bitter taste response in humans.     

Energetics of charge-charge interactions between residues adjacent in sequence

Statistical analysis of the residue separation between a pair of ionizable side chains within 4 ? of each other was performed on a set of 1560 non-homologous PDB structures. We found that the frequency of pairs of like charges (i.e., pairs consisting of acidic residues Asp and Glu or pairs consisting of basic residues Arg and Lys) is two orders of magnitude lower than the pairs of oppositely charged residues (salt-bridges). We also found that for pairs of like charges the distribution is skewed dramatically towards short residue separation (<3). On the basis of these observations, we hypothesize that at short residue separation the repulsion between charges does not contribute much to the protein stability and the effects are largely dominated by the long range charge-charge interactions with other ionizable groups in the protein molecule. To test this hypothesis, we incorporated various pairs of charged residues at position 63 and 64 of ubiquitin and compared the stabilities of these variants. We also performed calculations of the expected changes in the charge-charge interactions. A very good correlation between experimental changes in the stability of ubiquitin variants, and changes in the energy of charge-charge interactions provides support for the hypothesis that a pair of ionizable residues next to each other in sequence modulates protein stability via long range charge-charge interactions with the rest of the protein.     

A Tunable Coarse-Grained Model for Ligand-Receptor Interaction

Cell-surface receptors are the most common target for therapeutic drugs. The design and optimization of next generation synthetic drugs require a detailed understanding of the interaction with their corresponding receptors. Mathematical approximations to study ligand-receptor systems based on reaction kinetics strongly simplify the spatial constraints of the interaction, while full atomistic ligand-receptor models do not allow for a statistical many-particle analysis, due to their high computational requirements. Here we present a generic coarse-grained model for ligand-receptor systems that accounts for the essential spatial characteristics of the interaction, while allowing statistical analysis. The model captures the main features of ligand-receptor kinetics, such as diffusion dependence of affinity and dissociation rates. Our model is used to characterize chimeric compounds, designed to take advantage of the receptor over-expression phenotype of certain diseases to selectively target unhealthy cells. Molecular dynamics simulations of chimeric ligands are used to study how selectivity can be optimized based on receptor abundance, ligand-receptor affinity and length of the linker between both ligand subunits. Overall, this coarse-grained model is a useful approximation in the study of systems with complex ligand-receptor interactions or spatial constraints.     

Specific RNA binding by Q beta coat protein

The interaction between the bacteriophage Q beta coat protein and its specific binding site on Q beta genomic RNA was characterized by using a nitrocellulose filter binding assay. Q beta coat protein bound to a synthetic 29-nucleotide RNA hairpin with an association constant of 400 microM-1 at 4 degrees C, 0.2 M ionic strength, pH 6.0. Complex formation had a broad pH optimum centered around pH 6.0 and was favored by both enthalpy and entropy. The salt dependence of Ka revealed that four to five ion pairs may be formed in the complex although approximately 80% of the free energy of complex formation is contributed by nonelectrostatic interactions. Truncation experiments revealed that coat protein binding required only the presence of a hairpin with an eight base pair stem and a three-base loop. Analysis of the binding properties of hairpin variants showed that the sequence of the stem was not important for coat protein recognition and only one of the three loop residues was essential. A bulged adenosine present in the coat protein binding site was not required for coat protein binding. Q beta coat protein binding specific is therefore primarily achieved by the structure and not by the sequence of the operator.     

The interaction of prostaglandins with high-density lipoproteins: a non-equilibrium model of ligand-receptor interaction

Using high-density lipoproteins (HDL) labeled with a fluorescent phospholipid probe (an anthrylvinyl-labeled analogue of sphingomyelin) it was found that low amounts (10(-12) M) of the prostaglandins E1 and F2 alpha induced different structural changes of the HDL surface, whereas prostaglandin E2 had no effect. The effects of prostaglandin E1 on HDL were largely paralleled by those of this prostaglandin on synthetic recombinants prepared from apolipoprotein A1, phospholipids and cholesterol. The prostaglandin E1-HDL interaction resembled that of a ligand with a receptor site because it was specific, reversible, concentration- and temperature-dependent and saturable. However, the maximal HDL retaining capacity for prostaglandin E1 as determined by equilibrium dialysis was very low, and a single prostaglandin E1 molecule was able to induce structural changes in a large number of discrete lipoprotein particles. To explain this remarkable fact, a non-equilibrium model of ligand-receptor interaction is proposed. According to this model in open systems characterized by a short life-time of the ligand-receptor complex, high diffusion rates of the ligand and long relaxation times which exceed the interval between two successive ligand-receptor occupations, the ligand-induced changes will accumulate, resulting in amplification of the primary biological signal. It is emphasized that the low mobility of lipids constituting the environment of the receptor protein plays a critical role in this type of signal amplification.