Solid phase synthesis and opioid receptor binding properties of presumable dermorphin precursor derivatives.

Presumable dermorphin precursor peptide derivatives comprised of 35 amino acids and their fragments, which are based on the amino acid sequence determined by recombinant deoxyribonucleic acid (DNA) techniques, were synthesized by the solid phase method. A 35-residue peptide amide containing L-Ala2-dermorphin sequence at the N-terminus (1) as well as its D-Ala2 isomer (2) and the C-terminal 20-residue peptide amide were found to be unexpectedly stable against aminopeptidase M digestion and in rat brain membrane fractions mixture, suggesting that the C-terminal Glu-rich moiety of 1 and 2 serves to protect from enzymatic breakdown. In the opioid receptor binding assay, 2 showed 40 and 25-fold higher affinities than 1 for mu and delta-receptors, respectively. The N-terminal 15-residue peptide fragment of 2 showed greatly increased affinities for both receptors, being one half of those of dermorphin, whereas that of 1 showed low affinities. Opioid receptor binding properties of these synthetic peptides may be useful in investigation of the processing to dermorphin.     

Structural and energetic effects in the molecular recognition of protonated peptidomimetic bases by 18-crown-6

Absolute 18-crown-6 (18C6) affinities of nine protonated peptidomimetic bases are determined using guided ion beam tandem mass spectrometry techniques. The bases (B) included in this work are mimics for the n-terminal amino group and the side chains of the basic amino acids, i.e., the favorable sites for binding of 18C6 to peptides and proteins. Isopropylamine is chosen as a mimic for the n-terminal amino group, imidazole and 4-methylimidazole are chosen as mimics for the side chain of histidine (His), 1-methylguanidine is chosen as a mimic for the side chain of arginine (Arg), and several primary amines including methylamine, ethylamine, n-propylamine, n-butylamine, and 1,5-diamino pentane as mimics for the side chain of lysine (Lys). Theoretical electronic structure calculations are performed to determine stable geometries and energetics for neutral and protonated 18C6 and the peptidomimetic bases, as well as the proton bound complexes comprised of these species, (B)H(+)(18C6). The measured 18C6 binding affinities of the Lys side chain mimics are larger than the measured binding affinities of the mimics for Arg and His. These results suggest that the Lys side chains should be the preferred binding sites for 18C6 complexation to peptides and proteins. Present results also suggest that competition between Arg or His and Lys for 18C6 is not significant. The mimic for the n-terminal amino group exhibits a measured binding affinity for 18C6 that is similar to or greater than that of the Lys side chain mimics. However, theory suggests that binding to n-terminal amino group mimic is weaker than that to all of the Lys mimics. These results suggest that the n-terminal amino group may compete with the Lys side chains for 18C6 complexation.     

Aryl Crown Ethers Based on d-Glucose Scaffold – Highly Selective Receptors of Amino Acid Ester Hydrochlorides

Amino acids are important biomolecules with a broad scope of applications in chemical and biological sciences. Their functions and properties depend on their absolute configuration. Therefore, methods for chiral recognition and separation of amino acids are highly sought after. For the purposes of diagnostic and medicinal applications chiral recognition of amino acids in water is particularly relevant. However synthetic receptors for enantioselective binding of amino acids in aqueous media are rare. Recently we reported a d -glucose-based crown ether for chiral recognition of amino acid esters in water. We achieved enantioselectivities towards amino acids with hydrophobic sidechains which were among the highest ever reported for a small molecule receptor. The binding affinities were however moderate. Herein we disclose analogs of that receptor, containing aryl functionalities in the crown ether fragment. The new receptors show considerably improved binding affinities for amino acid ester hydrochlorides in water, while retaining high enantio- or chemoselectivities.     

纳升级电喷雾离子源-四极杆-飞行时间质谱中磷酸化肽的离子抑制作用

目前磷酸化蛋白质组学研究中的主要技术是蛋白质酶解产生的磷酸化肽的质谱检测。但是实际样品中的磷酸化肽(特别是多磷酸化肽)很难被检测到。其原因普遍认为是由于质谱检测时,非磷酸化肽抑制磷酸化肽。但也有认为非磷酸化肽对磷酸化肽没有抑制作用。另外磷酸化肽之间是否存在离子抑制作用还没有报道。本文采用相同氨基酸序列的标准磷酸化肽和非磷酸化肽,将其单独和混合进行质谱检测,通过对比混合前后磷酸化肽的信号强度,证明了非磷酸化肽对磷酸化肽有离子抑制作用;单磷酸化肽对二磷酸化肽有一定的抑制作用,但不太显著;单磷酸化肽对三磷酸化肽、二磷酸化肽对三磷酸化肽均有显著的离子抑制作用。该研究为今后单磷酸化肽和多磷酸化肽的分段富集和检测提供了有力的证明。     

Synthetic dsDNA‐Binding Peptides Using Natural Compounds as Model

We have developed a series of short DNA‐binding peptides containing newly synthesized, unnatural as well as natural amino acid building blocks. By a combinatorial‐library approach, oligopeptides were developed with moderate dsDNA‐binding affinities. Two strategies were used to further enhance the binding affinity of the lead peptides: Ac‐Arg‐Ual‐Sar‐Chi‐Chi‐Chi‐Arg‐NH₂ and Ac‐Arg‐Cbg‐Cha‐Chi‐Chi‐Tal‐Arg‐NH₂. Site‐selective amino acid substitutions increased the binding affinities up to 2 × 10^?5 M . Further enhancement of the binding affinities could be achieved by coupling of an acridine intercalating unit, using linker arms of different length and flexibility. With the introduction of a new lysine‐based acridine unit, different types of oligopeptide–acridine conjugates were designed using known dsDNA‐binding ligands as model compounds. The binding capacities of these new oligopeptide–acridine conjugates have been investigated by a fluorescent intercalator (ethidium bromide) displacement (FID) assay. With the synthesis of the dipeptide–acridine conjugates, binding affinities in the low micromolar range were obtained (6.4 × 10^?6 M ), which is similar to the binding strength of the well‐known DNA binder Hoechst 33258.     

The sodium ion affinities of simple Di-, Tri-, and tetrapeptides

The sodium ion affinities (binding energies) of nineteen peptides containing 2-4 residues have been determined by experimental and computational approaches. Na(+)-bound heterodimers with amino acid and peptide ligands (Pep(1), Pep(2)) were produced by electrospray ionization. The dissociations of these Pep(1)-Na(+)-Pep(2) ions to Pep(1)-Na(+) and Pep(2)-Na(+) were examined by collisionally activated dissociation to construct a ladder of relative affinities via the kinetic method. The accuracy of this ladder was subsequently ascertained by experiments using several excitation energies for four peptide pairs. The relative scale was converted to absolute affinities by anchoring the relative values to the known Na(+) affinity of GlyGly. The Na(+) affinities of AlaAla, HisGly, GlyHis, GlyGlyGly, AlaAlaAla, GlyGlyGlyGly, and AlaAlaAlaAla were also calculated at the MP2(full)/6-311 + G(2d,2p) level of ab initio theory using geometries that were optimized at the MP2(full)/6-31G(d) level for AlaAla or HF/6-31G(d) level for the other peptides; the resulting values agree well with experimental Na(+) affinities. Increasing the peptide size is found to dramatically augment the Na(+) binding energy. The calculations show that in nearly all cases, all available carbonyl oxygens are sodium binding sites in the most stable structures. Whenever side chains are available, as in HisGly and GlyHis, specific additional binding sites are provided to the cation. Oligoglycines and oligoalanines have similar binding modes for the di- and tripeptides, but differ significantly for the tetrapeptides: while the lowest energy structure of GlyGlyGlyGly-Na(+) has the peptide folded around the ion with all four carbonyl oxygens in close contact with Na(+), that of AlaAlaAlaAla-Na(+) involves a pseudo-cyclic peptide in which the C and N termini interact via hydrogen bonding, while Na(+) sits on top of the oxygens of three nearly parallel C=O bonds.     

Molecular recognition and fluorescence sensing of monophosphorylated peptides in aqueous solution by bis(zinc(II)-dipicolylamine)-based artificial receptors

The phosphorylation of proteins represents a ubiquitous mechanism for the cellular signal control of many different processes, and thus selective recognition and sensing of phosphorylated peptides and proteins in aqueous solution should be regarded as important targets in the research field of molecular recognition. We now describe the design of fluorescent chemosensors bearing two zinc ions coordinated to distinct dipicolylamine (Dpa) sites. Fluorescence titration experiments show the selective and strong binding toward phosphate derivatives in aqueous solution. On the basis of (1)H NMR and (31)P NMR studies, and the single-crystal X-ray structural analysis, it is clear that two Zn(Dpa) units of the binuclear receptors cooperatively act to bind a phosphate site of these derivatives. Good agreement of the binding affinity estimated by isothermal titration calorimetry with fluorescence titration measurements revealed that these two receptors can fluorometrically sense several phosphorylated peptides that have consensus sequences modified with natural kinases. These chemosensors display the following significant features: (i) clear distinction between phosphorylated and nonphosphorylated peptides, (ii) sequence-dependent recognition, and (iii) strong binding to a negatively charged phosphorylated peptide, all of which can be mainly ascribed to coordination chemistry and electrostatic interactions between the receptors and the corresponding peptides. Detailed titration experiments clarified that the phosphate anion-assisted coordination of the second Zn(II) to the binuclear receptors is crucial for the fluorescence intensification upon binding to the phosphorylated derivatives. In addition, it is demonstrated that the binuclear receptors can be useful for the convenient fluorescent detection of a natural phosphatase (PTP1B) catalyzed dephosphorylation.     

Chiral Recognition of Amino Acid Esters in Organic Solvents Using a Glucose-Based Receptor

Due to the chemical and biological relevance of amino acids, efficient methods for the recognition and separation of their enantiomers are highly sought after. Chiral receptors based on extended molecular scaffolds are typically employed for this purpose. These receptors are often effective only in specific environments and towards a narrow scope of amino acid guests. Recently we reported a simple, glucose-based macrocycle capable of enantioselective binding of a broad range of amino acid methyl esters in water. Herein we demonstrate that the same receptor can be used for chiral recognition of amino acid esters in organic solvents. We show that the binding affinity and selectivity of the receptor are highly dependent on the coordinating strength of the solvent. An in-depth analysis of the receptor’s conformation and its interactions with amino acid methyl esters allowed us to propose a binding mode of amino acids to the receptor in CDCl₃. The binding modes in CDCl₃ and D₂O were then compared, highlighting the main interactions responsible for binding affinity and selectivity in each solvent. We envision that the insight provided by this study will facilitate the development of further amino acid receptors based on monosaccharides with improved binding affinities and both enantio- as well as chemoselectivities.     

Coordination properties of zinc finger peptides revisited: ligand competition studies reveal higher affinities for zinc and cobalt

Zinc fingers are ubiquitous small protein domains which have a Zn(Cys)(4-x)(His)(x) site. They possess great diversity in their structure and amino acid composition. Using a family of six peptides, it was possible to assess the influence of hydrophobic amino acids on the metal-peptide affinities and on the rates of metal association and dissociation. A model of a treble-clef zinc finger, a model of the zinc finger site of a redox-switch protein, and four variants of the classical ββα zinc finger were used. They differ in their coordination set, their sequence length, and their hydrophobic amino acid content. The speciation, metal binding constants, and structure of these peptides have been investigated as a function of pH. The zinc binding constants of peptides, which adopt a well-defined structure, were found to be around 10(15) at pH 7.0. The rates of zinc exchange between EDTA and the peptides were also assessed. We evidenced that the packing of hydrophobic amino acids into a well-defined hydrophobic core can have a drastic influence on both the binding constant and the kinetics of metal exchange. Notably, well-packed hydrophobic amino acids can increase the stability constant by 4 orders of magnitude. The half-life of zinc exchange was also seen to vary significantly depending on the sequence of the zinc finger. The possible causes for this behavior are discussed. This work will help in understanding the dynamics of zinc exchange in zinc-containing proteins.     

Systematic mutational analysis of an ubiquitin ligase (MDM2)-binding peptide: computational studies

To understand the importance of amino acids that comprise the peptide PMI (p53-MDM2/MDMX inhibitor), a p53-mimicking peptide with high affinity for the ubiquitin ligase MDM2, computational alanine scanning has been carried out using various protocols. This approach is very useful for identifying regions of a peptide that can be mutated to yield peptides that bind to their targets with higher affinities. Computational alanine scanning is a very useful technique that involves mutating each amino acid of the peptide in its complex with its target (MDM2 in the current study) to alanine, running short simulations on the mutated complex and computing the difference in interaction energies between the mutant peptides and the target protein (MDM2 in the current study) relative to the interaction energy of the original (wild-type) peptide and the target protein (MDM2 in the current study). We find that running multiple short simulations yield values of computed binding affinities (enthalpies) that are similar to those obtained from a long simulation and are well correlated with the trends in the data available from experiments that used Surface Plasmon Resonance to obtain dissociation constants. The p53-mimicking peptides contain three amino acids (F19, W23 and L26) that are major determinants of the interactions between the peptides and MDM2 and form an essential motif. We find in the current study that the trends amongst the contributions to experimental binding affinities of the hydrophobic residues F19, W23 and L26 are the best reproduced in all the computational protocols examined here. This study suggests that running such short simulations may provide a rapid method to redesign peptides to obtain high-affinity variants against a target protein. We further observe that modelling an extended conformation at the C-terminus of the helical PMI peptides, in accord with the conformation of the p53-peptide complexed to MDM2, reproduces the trends seen amongst the experimental affinities of the peptides that carry the alanine mutations at their C-termini. This suggests that some of the mutant peptides possibly interconvert between helical and extended states and can bind to MDM2 in either conformation. This novel feature, not obvious from the crystallographic data, if factored into modelling protocols, may yield novel high-affinity peptides. Our findings suggest that such protocols may enable rapid investigations of at least certain types of amino acid mutations, notably from large to small amino acids.     

On resin side-chain cyclization of complex peptides using CuAAC

Triazole tethers have been explored for stabilization of secondary structures in peptides. Despite the utility of this approach, cyclization efficiency in complex peptides remains a significant challenge. A robust, on-resin protocol for side chain to side chain macrocyclization by CuAAC is described. This protocol was applied to the synthesis of a series of 21 amino acid helical peptides presenting a binding dipeptide motif from the membrane proximal external region (MPER) of HIV-1 gp41.     

Predicting the effects of amino acid replacements in peptide hormones on their binding affinities for class B GPCRs and application to the design of secretin receptor antagonists

Computational prediction of the effects of residue changes on peptide-protein binding affinities, followed by experimental testing of the top predicted binders, is an efficient strategy for the rational structure-based design of peptide inhibitors. In this study we apply this approach to the discovery of competitive antagonists for the secretin receptor, the prototypical member of class B G protein-coupled receptors (GPCRs). Proteins in this family are involved in peptide hormone-stimulated signaling and are implicated in several human diseases, making them potential therapeutic targets. We first validated our computational method by predicting changes in the binding affinities of several peptides to their cognate class B GPCRs due to alanine replacement and compared the results with previously published experimental values. Overall, the results showed a significant correlation between the predicted and experimental ΔΔG values. Next, we identified candidate inhibitors by applying this method to a homology model of the secretin receptor bound to an N-terminal truncated secretin peptide. Predictions were made for single residue replacements to each of the other nineteen naturally occurring amino acids at peptide residues within the segment binding the receptor N-terminal domain. Amino acid replacements predicted to most enhance receptor binding were then experimentally tested by competition-binding assays. We found two residue changes that improved binding affinities by almost one log unit. Furthermore, a peptide combining both of these favorable modifications resulted in an almost two log unit improvement in binding affinity, demonstrating the approximately additive effect of these changes on binding. In order to further investigate possible physical effects of these residue changes on receptor binding affinity, molecular dynamics simulations were performed on representatives of the successful peptide analogues (namely A17I, G25R, and A17I/G25R) in bound and unbound forms. These simulations suggested that a combination of the α-helical propensity of the unbound peptide and specific interactions between the peptide and the receptor extracellular domain contribute to their higher binding affinities.     

A cation-pi binding interaction with a tyrosine in the binding site of the GABAC receptor

GABA(C) (rho) receptors are members of the Cys-loop superfamily of neurotransmitter receptors, which includes nicotinic acetylcholine (nACh), 5-HT(3), and glycine receptors. As in other members of this family, the agonist binding site of GABA(C) receptors is rich in aromatic amino acids, but while other receptors bind agonist through a cation-pi interaction to a tryptophan, the GABA(C) binding site has tyrosine at the aligning positions. Incorporating a series of tyrosine derivatives at position 198 using unnatural amino acid mutagenesis reveals a clear correlation between the cation-pi binding ability of the side chain and EC(50) for receptor activation, thus demonstrating a cation-pi interaction between a tyrosine side chain and a neurotransmitter. Comparisons among four homologous receptors show variations in cation-pi binding energies that reflect the nature of the cationic center of the agonist.     

Modelling of the gas-phase phosphate group loss and rearrangement in phosphorylated peptides

The gas-phase dissociation of phosphorylated peptides was modelled using a combination of quantum mechanics and the Rice-Ramsperger-Kassel-Marcus theory. Potential energy surfaces and unimolecular reaction rates for several low-energy fragmentation and rearrangement pathways were estimated, and a general mechanism was proposed. The neutral loss of the phosphoric acid was mainly an outcome of the intramolecular nucleophilic substitution mechanism. The mechanism involves a nucleophilic attack of the phosphorylated amino acid N-terminal carbonyl oxygen on β-carbon, yielding a cyclic five-membered oxazoline product ion. Regardless of the proton mobility, the pathway was charge directed either by a mobile proton or by a positively charged side chain of some basic residue. Although the mechanistic aspects of the phosphate loss are not influenced by the proton mobility environment, it does affect ion abundances. Results suggest that under the mobile proton environment, the interplay between phosphoric acid neutral loss product ion and backbone cleavage fragments should occur. On the other hand, when proton mobility is limited, neutral loss product ion may predominate. The fragmentation dynamics of phosphoserine versus phosphothreonine containing peptides suggests that H(3)PO(4) neutral loss from phosphothreonine containing peptides is less abundant than that from their phosphoserine containing analogs. During the low-energy CID of phosphorylated peptides in the millisecond time range, typical for ion trap instruments, a phosphate group rearrangement may happen, resulting in an interchange between the phosphorylated and the hydroxylated residues. Unimolecular dissociation rate constants imply the low abundance of such scrambled product ions.     

Synthesis,Biochemical Characterization,and Genetic Encoding of a 1,2,4-Triazole Amino Acid as an Acetyllysine Mimic for Bromodomains of the BET Family

Lysine acetylation is a charge-neutralizing post-translational modification of proteins bound by bromodomains (Brds). A 1,2,4-triazole amino acid (ApmTri) was established as acetyllysine (Kac) mimic recruiting Brds of the BET family in contrast to glutamine commonly used for simulating this modification. Optimization of triazole substituents and side chain spacing allowed BET Brd recruitment to ApmTri-containing peptides with affinities similar to native substrates. Crystal structures of ApmTri-containing peptides in complex with two BET Brds revealed the binding mode which mirrored that of Kac ligands. ApmTri was genetically encoded and recombinant ApmTri-containing proteins co-enriched BRD3(2) from cellular lysates. This interaction was blocked by BET inhibitor JQ1. With genetically encoded ApmTri, biochemistry is now provided with a stable Kac mimic reflecting charge neutralization and Brd recruitment, allowing new investigations into BET proteins in vitro and in vivo.     

Understanding metalloprotein folding using a de novo design strategy

Metal ions play significant roles in most biological systems. Over the past two decades, there has been significant interest in the redesign of existing metal binding sites in proteins/peptides and the introduction of metals into folded proteins/peptides. Recent research has focused on the effects of metal binding on the overall secondary and tertiary conformations of unstructured peptides/proteins. In this context, de novo design of metallopeptides has become a valuable approach for studying the consequence of metal binding. It has been seen that metal ions not only direct folding of partially folded peptides but have at times also been the elixir for properly folding random-coil-like structures in stable secondary conformations. Work in our group has focused on binding of heavy metal ions such as Hg(II) to de novo designed alpha-helical three stranded coiled coil peptides with sequences based on the heptad repeat motif. Removal from or addition of a heptad to the parent 30-residue TRI peptide with the amino acid sequence Ac-G(LKALEEK)(4)G-NH(2) generated peptides whose self-aggregation affinities were seen to be dependent on their lengths. It was noted that adjustment in the position of the thiol from an "a" position in the case of the shorter BabyL9C to a "d" position for BabyL12C resulted in a peptide with low association affinities for itself, weaker binding with Hg(II), and a considerably faster kinetic profile for metal insertion. Similar differences in thermodynamic and kinetic parameters were also noted for the longer TRI peptides. At the same time, metal insertion into the prefolded and longer TRI and Grand peptides has clearly demonstrated that the metal binding is both thermodynamically as well kinetically different from that to unassociated peptides.     

Tunable inhibition and denaturation of alpha-chymotrypsin with amino acid-functionalized gold nanoparticles

Water-soluble gold nanoparticles bearing diverse l-amino acid terminals have been fabricated to probe the effect of receptor surface on protein surface binding. The interaction of these nanoparticles with alpha-chymotrypsin (ChT) was investigated by activity assay, gel electrophoresis, zeta-potential, circular dichroism, and fluorescence spectroscopy. The results show that both electrostatic and hydrophobic interactions between the hydrophobic patches of receptors and the protein contribute to the stability of the complex. The microscopic binding constants for these receptor-protein systems are 10(6)-10(7) M(-1), with the capacity of the nanoparticle receptors to bind proteins determined by both their surface area and their surface charge density. Furthermore, it is found that the hydrophilic side chains destabilize the ChT structure through either competitive hydrogen bonding or breakage of salt bridges, whereas denaturation was much slower with hydrophobic amino acid side chains. Significantly, correlation between the hydrophobicity index of amino acid side chains and the binding affinity and denaturation rates was observed.     

Investigation of Non-covalent Interactions of 18-Crown-6 with Amino Acids in Gas Phase by Mass Spectrometry

The non-covalent interactions between 18-Crown-6 (18c6) and 20 common types of protonated amino acids were explored by electrospray ionization mass spectrometry. The mass spectra showed that 18c6 could react with amino acids to form a non-covalent complexe in a stoichiometric ratio of 1:1. The calibration curves and linear equations for the complexes of L-Phe, L-Tyr, L-Lys and L-Asp with 18c6 were established by mass spectrometric titration and used as reference values for competitive ESI-MS. Through competitive equilibria, the binding constants for the complexes of 18c6 with other L-amino acids and their D-isomers were derived. It was found that, as a general trend, lgK_a for the complexes of 18c6 with the basic amino acid and the amino acid with alkyl side chain were larger than other complexes, and among the amino acid with alkyl side chain, Gly and Ala exhibited greater 18c6 binding affinities. As for Ser and Thr, the intramolecular hydrogen bond between the nitrogen atom from terminal –NH₂ and the oxygen atom from carboxyl might impede their protonated amino-group to attack the 18c6. Furthermore, Gln and Asn exhibited lower binding affinities to 18c6, probably due to effects of electron-withdrawing group of acylamide. Finally, the chiral selectivity of 18c6 for L-amino or D-amino acids were measured by ESI-MS, and the result showed that 18c6 could only recognize some neutral amino acid isomers.     

A critical cross-validation of high throughput structural binding prediction methods for pMHC

T-cells recognize antigens via their T-cell receptors. The major histocompatibility complex (MHC) binds antigens in a specific way, transports them to the surface and presents the peptides to the TCR. Many in silico approaches have been developed to predict the binding characteristics of potential T-cell epitopes (peptides), with most of them being based solely on the amino acid sequence. We present a structural approach which provides insights into the spatial binding geometry. We combine different tools for side chain substitution (threading), energy minimization, as well as scoring methods for protein/peptide interfaces. The focus of this study is on high data throughput in combination with accurate results. These methods are not meant to predict the accurate binding free energy but to give a certain direction for the classification of peptides into peptides that are potential binders and peptides that definitely do not bind to a given MHC structure. In total we performed approximately 83,000 binding affinity prediction runs to evaluate interactions between peptides and MHCs, using different combinations of tools. Depending on the tools used, the prediction quality ranged from almost random to around 75% of accuracy for correctly predicting a peptide to be either a binder or a non-binder. The prediction quality strongly depends on all three evaluation steps, namely, the threading of the peptide, energy minimization and scoring.