SeSaMe PS Function:Functional Analysis of the Whole Metagenome Sequencing Data of the Arbuscular Mycorrhizal Fungi

In this study, we introduce a novel bioinformatics program, Spore-associated Symbiotic Microbes Position-specific Function (SeSaMe PS Function), for position-specific functional analysis of short sequences derived from metagenome sequencing data of the arbuscular mycorrhizal fungi. The unique advantage of the program lies in databases created based on genus-specific sequence properties derived from protein secondary structure, namely amino acid usages, codon usages, and codon contexts of 3-codon DNA 9-mers. SeSaMe PS Function searches a query sequence against reference sequence database, identifies 3-codon DNA 9-mers with structural roles, and creates a comparative dataset containing the codon usage biases of the 3-codon DNA 9-mers from 54 bacterial and fungal genera. The program applies correlation principal component analysis in conjunction with K-means clustering method to the comparative dataset. 3-codon DNA 9-mers clustered as a sole member or with only a few members are often structurally and functionally distinctive sites that provide useful insights into important molecular interactions. The program provides a versatile means for studying functions of short sequences from metagenome sequencing and has a wide spectrum of applications. SeSaMe PS Function is freely accessible at www.fungalsesame.org.     

Dihedral angle and secondary structure database of short amino acid fragments

Dihedral angles of amino acids are of considerable importance in protein tertiary structure prediction as they define the backbone of a protein and hence almost define the protein's entire conformation. Most ab initio protein structure prediction methods predict the secondary structure of a protein before predicting the tertiary structure because three-dimensional fold consists of repeating units of secondary structures. Hence, both dihedral angles and secondary structures are important in tertiary structure prediction of proteins. Here we describe a database called DASSD (Dihedral Angle and Secondary Structure Database of Short Amino acid Fragments) that contains dihedral angle values and secondary structure details of short amino acid fragments of lengths 1, 3 and 5. Information stored in this database was extracted from a set of 5,227 non-redundant high resolution (less than 2-angstroms) protein structures. In total, DASSD stores details for about 733,000 fragments. This database finds application in the development of ab initio protein structure prediction methods using fragment libraries and fragment assembly techniques. It is also useful in protein secondary structure prediction.

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Cytotoxicity and DNA binding property of the dimers of triphenylethylene–coumarin hybrid with one amino side chain

Novel dimers of triphenylethylene–coumarin hybrid containing one amino side chain were designed and synthesized by the condensation of four dicarboxylic acids with the amino monomeric hybrids catalyzed by HATU and DIPEA at room temperature. The adding order of the reactants had a significant effect on the condensation reaction when the malonic acid was used. The dimeric compounds 7a and 7b linked by the malonic acid, showed a broad-spectrum and good anti-proliferative activity against four tumor cells and low cytotoxicity in osteoblast. UV–vis, fluorescence, and circular dichroism (CD) spectroscopies and thermal denaturation exhibited that compounds 7b, 8b, 9b, and 10b had significant interactions with Ct-DNA by the intercalative mode of binding. Both the DNA binding properties and the anti-proliferative activities would be enhanced by dimerization of the monomeric hybrid with one amino side chain, and were significantly affected by the length of the linker (dicarboxylic acids).     

Rhamnolipid inspired lipopeptides effective in preventing adhesion and biofilm formation of Candida albicans

Rhamnolipids are biodegradable low toxic biosurfactants which exert antimicrobial and anti-biofilm properties. They have attracted much attention recently due to potential applications in areas of bioremediation, therapeutics, cosmetics and agriculture, however, the full potential of these versatile molecules is yet to be explored. Based on the facts that many naturally occurring lipopeptides are potent antimicrobials, our study aimed to explore the potential of replacing rhamnose in rhamnolipids with amino acids thus creating lipopeptides that would mimic or enhance properties of the parent molecule. This would allow not only for more economical and greener production but also, due to the availability of structurally different amino acids, facile manipulation of physico-chemical and biological properties.Our synthetic efforts produced a library of 43 lipopeptides revealing biologically more potent molecules. The structural changes significantly increased, in particular, anti-biofilm properties against Candida albicans, although surface activity of the parent molecule was almost completely abolished. Our findings show that the most active compounds are leucine derivatives of 3-hydroxy acids containing benzylic ester functionality. The SAR study demonstrated a further increase in activity with aliphatic chain elongation. The most promising lipopeptides 15, 23 and 36 at 12.5 µg/mL concentration allowed only 14.3%, 5.1% and 11.2% of biofilm formation, respectively after 24 h. These compounds inhibit biofilm formation by preventing adhesion of C. albicans to abiotic and biotic surfaces.     

Prediction and analysis of protein hydroxyproline and hydroxylysine

Background

Hydroxylation is an important post-translational modification and closely related to various diseases. Besides the biotechnology experiments, in silico prediction methods are alternative ways to identify the potential hydroxylation sites.

Methodology/Principal Findings

In this study, we developed a novel sequence-based method for identifying the two main types of hydroxylation sites – hydroxyproline and hydroxylysine. First, feature selection was made on three kinds of features consisting of amino acid indices (AAindex) which includes various physicochemical properties and biochemical properties of amino acids, Position-Specific Scoring Matrices (PSSM) which represent evolution information of amino acids and structural disorder of amino acids in the sliding window with length of 13 amino acids, then the prediction model were built using incremental feature selection method. As a result, the prediction accuracies are 76.0% and 82.1%, evaluated by jackknife cross-validation on the hydroxyproline dataset and hydroxylysine dataset, respectively. Feature analysis suggested that physicochemical properties and biochemical properties and evolution information of amino acids contribute much to the identification of the protein hydroxylation sites, while structural disorder had little relation to protein hydroxylation. It was also found that the amino acid adjacent to the hydroxylation site tends to exert more influence than other sites on hydroxylation determination.

Conclusions/Significance

These findings may provide useful insights for exploiting the mechanisms of hydroxylation.     

S1P receptor mediated activity of FTY720 phosphate mimics

Various carboxylic acids, phosphonic acids, sulfonic acids, tetrazoles as well as sulfonylhydantoins were prepared as phosphate mimics of the chiral aminophosphate 1-P to act as agonists on the S1P₁ receptor. It was found that amino phosphonates and amino carboxylates are potent S1P₁ binders. β-Amino acid 11 could be shown to reversibly reduce blood lymphocyte counts in rats after po administration.     

A reexamination of the propensities of amino acids towards a particular secondary structure: classification of amino acids based on their chemical structure

The correlation between the primary and secondary structures of proteins was analysed using a large data set from the Protein Data Bank. Clear preferences of amino acids towards certain secondary structures classify amino acids into four groups: α-helix preferrers, strand preferrers, turn and bend preferrers, and His and Cys (the latter two amino acids show no clear preference for any secondary structure). Amino acids in the same group have similar structural characteristics at their Cβ and Cγ atoms that predicts their preference for a particular secondary structure. All α-helix preferrers have neither polar heteroatoms on Cβ and Cγ atoms, nor branching or aromatic group on the Cβ atom. All strand preferrers have aromatic groups or branching groups on the Cβ atom. All turn and bend preferrers have a polar heteroatom on the Cβ or Cγ atoms or do not have a Cβ atom at all. These new rules could be helpful in making predictions about non-natural amino acids.

(+)-Usnic acid enamines with remarkable cicatrizing properties

Wound healing is a significant concern in many pathologies (post-surgeries, burns, scars) and the search for new chemical entities is advisable. The lichen compound (+)-usnic acid (1) has found application in dermatological and cosmetic preparations, due to its bacteriostatic and antioxidant activities. The compound has also been shown to stimulate the wound closure of keratinocyte monolayers at subtoxic doses. Here we describe the design and synthesis of usnic acid enamines (compounds 2–11), obtained through nucleophilic attack of amino acids or decarboxyamino acids at the acyl carbonyl of the enolized 1,3 diketone. The wound repair properties of these derivatives were evaluated using in vitro and in vivo assays. Compounds 8 and 9 combine low cytotoxicity with high wound healing performance, suggesting their possible use in wound healing-promoting or antiage skin preparations.     

Multipurpose isothiocyanyl alanine/lysine: Use as solvatochromic IR probes and in site specific labeling/ligation of short peptides

The solvatochromic IR responsivity of small side chain –NCS in two unexplored unnatural amino acids, isothiocyanyl alanine (^NCSAla = Ita) and lysine (^NCSLys = Itl), without perturbing the conformation is demonstrated in two designed short tripeptide (BocAla-^NCSAla-Ala-OMe) and hexapeptide (BocLeu-Val-Phe-Phe-^NCSLys-Gly-OMe). Demonstration of site specific fluorescent labeling in both the peptides and ligation type reaction in ^NCSLys indicates the novelty of these two amino acids as alternative to the available canonical amino acids.     

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework

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Highlights

• •Deep learning-based hybrid de novo sequencing with database search strategy.
• •Accurate identifications via ability to revise confidence scores and amino acids.
• •Discovery of >10,000 potential new HLA antigens and human phosphopeptides.
• •A dataset of >26 million annotated HCD spectra from Q Exactive instruments.

     

Differential geometry and protein conformation. V. Medium-range conformational influence of the individual amino acids

A previous differential geometric analysis of the conformational properties of the various amino acids has been extended to study their influence on folding over a larger backbone interval. In addition, statistical effects associated with variation in the number of the individual amino acids in the database have been treated in greater detail, using a simulation method. It is found that the amino acids can be divided into three groups on the basis of their conformational influence over four-C^α units in the interval i ? 6 ? j ? i + 6. Group Ia is composed of seven amino acids (His, Leu, Ala, Met, Lys, Gln, Ile) that encourage the formation of A_R-helical structure. Group Ib (Glu, Phe, Trp, Val, Asp) is composed of amino acids with some helix-forming tendency but that also show positive extended-strand formation tendency. They therefore act as a bridge between group Ia and group II (Cys, Gly, Asn, Pro, Arg, Ser, Thr, Tyr) that contains amino acids that encourage the formation of extended structure and bends. The detailed four-C^α conformational properties of each of the amino acids are shown, and the ability of amino acids to exert conformational influence in both directions along the backbone is examined. It is shown that, in general, such influence extends farther in the N-terminal direction than in the C-terminal direction. A framework is briefly sketched for using the present data to investigate actual folding mechanisms.     

Cisplatin analogues. cis-Dichloroaminoacid-tert-butylamineplatinum(II) complexes and their adducts with guanosine

A series of compounds of formula cis-[PtCl₂- (aaH)(tba)] (1) (aaH, N-coordinate amino acid; tba, tert-butylamine) were synthesized. The circular dichroism spectra of these compounds show that the phenylalanine and proline derivatives have an anomalous conformation in water solution. By reaction with guanosine (guo) compounds 1 give cis- [Pt(aaH)(tba)(guo)₂]Cl₂ (2), in which infrared and nuclear magnetic resonance evidence suggest N(7) coordination of guo. NMR and circular dichroism data suggest that in 2 the two guanosine ligands are arranged head-to-head and form a right-hand helix. The bulkiness of the other ligands make rotation around the PtN(7) bonds a slow process on the NMR time scale. The chiroptical properties of 2 are not greatly influenced by the absolute configuration of the amino acid, the right-hand screw probably arising by some guo-guo interaction since the derivatives of 9-methylguanine with chiral amino acids do not possess this conformation.Preliminary results on the reaction between 1 and calf thymus DNA are also briefly reported. They show that the interaction of 1 with DNA is of a lower extent than in the case of cisplatin and its diamine analogues, and that it is independent on the configuration of the amino acids.All these results are briefly discussed and tentatively correlated with the low antitumor activity of 1 reported in a previous paper.     

Callyaerins A–F and H,new cytotoxic cyclic peptides from the Indonesian marine sponge Callyspongia aerizusa

Bioassay guided fractionation of the EtOAc fraction of the sponge Callyspongia aerizusa yielded seven new cytotoxic cyclic peptides callyaerins A–F (1–6) and H (8). Their structures were determined using extensive 1D (¹H, ¹³C and DEPT) and 2D (COSY, HMQC, HMBC, TOCSY, and ROESY) NMR and mass spectral (ESI and HRESI-TOF) data. All compounds were cyclic peptides containing ring systems of 5–9 amino acids and side chains of 2–5 amino acids in length. An unusual (Z)-2,3-diaminoacrylic acid unit provided the template for ring closure and afforded the linkage to the peptidic side chain which was always initiated with a proline moiety. All peptides contained three or more proline residues and the remaining residues were predominantly hydrophobic residues with all amino acids present in the l form. Callyaerins A–F (1–6) and H (8) showed biological activity in antibacterial assays and in various cytotoxicity assays employing different tumour cell-lines (L5178Y, HeLa, and PC12). Callyaerins E (5) and H (8) exhibited strong activity against the L5178Y cell line with ED₅₀ values of 0.39 and 0.48 μM, respectively. On the other hand, callyaerin A (1) showed strong inhibitory properties towards C. albicans.     

Probing the substrate specificity for lipases. II. Kinetic and modeling studies on the molecular recognition of 2-arylpropionic esters by Candida rugosa and Rhizomucor miehei lipases

Racemic arylpropionic esters 1–3, precursors of therapeutically important non-steroidal antiinflammatory drugs, were subjected to hydrolyses in the presence of either Candida rugosa or Rhizomucor miehei crude lipases. The hydrolyses of 1 and 2 proved to be highly enantioselective, whereas 3 was not transformed at all. Both the substrate specificity and the enantioselectivity of these lipases were explained through a molecular modeling study involving docking experiments between 1–3 and the amino acids forming the enzymes active-sites, whose three-dimensional structures were obtained from X-ray crystallographic data, followed by extensive conformational analysis on their computer-generated complexes. The results of this study also account for the high enantioselective and good yielding hydrolysis of 3 (as the corresponding 2-chloroethyl ester) catalyzed by CRL pretreated with 2-propanol, recently reported in the literature, and lead to admit that such a treatment may operate very deep conformational changes on the amino acids of the enzyme active-site.     

Chiral separation of amino acids in biological fluids by micellar electrokinetic chromatography with laser-induced fluorescence detection

A method is presented for the chiral analysis of amino acids in biological fluids using micellar electrokinetic chromatography (MEKC) and laser-induced fluorescence (LIF). The amino acids are derivatized with the chiral reagent (+/−)-1-(9-anthryl)-2-propyl chloroformate (APOC) and separated using a mixed micellar separation system. No tedious pre-purification of samples is required. The excellent separation efficiency and good detection capabilities of the MEKC-LIF system are exemplified in the analysis of urine and cerebrospinal fluid. This is the first time MEKC has been reported for chiral analysis of amino acids in biological fluids. The amino acids -alanine, -glutamine, and -aspartic acid have been observed in cerebrospinal fluid, and -alanine and -glutamic acid in urine. To the best of our knowledge no measurements of either -alanine in cerebrospinal fluid or -glutamic acid in urine have been presented in the literature before.     

Electronic Properties of the Amino Acid Side Chains Contribute to the Structural Preferences in Protein Folding

Abstract

A database of 118 non-redundant proteins was examined to determine the preferences of amino acids for secondary structures: α-helix, β-strand and coil conformations. To better understand how the physicochemical properties of amino acid side chains might influence protein folding, several new scales have been suggested for quantifying the electronic effects of amino acids. These include the pKa at the amino group, localized effect substituent constants (eσ), and a composite of these two scales (ε). Amino acids were also classified into 5 categories on the basis of their electronic properties: O (strong electron donor), U (weak donor), Z (ambivalent), B (weak electron acceptor), and X (strong acceptor). Certain categories of amino acid appeared to be critical for particular conformations, e.g., O and U-type residues for α-helix formation. Pairwise analysis of the database according to these categories revealed significant context effects in the structural preferences. In general, the propensity of an amino acid for a particular conformation was related to the electronic features of the side chain. Linear regression analyses revealed that the electronic properties of amino acids contributed about as much to the folding preferences as hydrophobicity, which is a well-established determinant of protein folding. A theoretical model has been proposed to explain how the electronic properties of the side chain groups might influence folding along the peptide backbone.     

Statistical analysis of the physical properties of the 20 naturally occurring amino acids

In order to describe the conformational and other physical properties of the 20 naturally occurring amino acid residues with a minimum number of parameters, several multivariate statistical analyses were applied to 188 of their physical properties and ten orthogonal properties (factors) were obtained for the 20 amino acids without losing the information contained in the original physical properties. The analysis consisted of three main steps. First, 72 of the physical properties were eliminated from further consideration because they did not pass statistical tests that they follow a normal distribution. Second, the remaining 116 physical properties of the amino acids were classified by a cluster analysis to eliminate duplications of highly correlated physical properties. This led to nine clusters, each of which was characterized by an average characteristic property, namely bulk, two hydrophobicity indices for free amino acids, one hydrophobicity index for amino acid residues in a protein, two types of -structure preference, -helix preference, and two types of bend-structure preference. The physical properties within a given cluster were highly correlated with each other, but the correlation between clusters was low. Third, a factor analysis was applied to the nine average classified properties and 16 additional physical properties to obtain a small number of orthogonal properties (ten factors). Four of these factors arise from the nine characteristic properties, and the remaining six factors were obtained from the 16 physical properties not included in the nine characteristic properties. Finally, most of the 188 physical properties could be expressed as a sum of these ten orthogonal factors, with appropriate weighting factors. Since these factors contain information relating almost all properties of all 20 amino acids, it is possible to estimate the numerical values of a property for one or two amino acids for which experimental data for this property are not available. For example, the estimated values for the Zimm-Bragg parameters at 20°C are 0.66 and 0.92 for proline and cysteine, respectively, computed from the first four factors.     

Analysis of protegrin structure–activity relationships: the structural characteristics important for antimicrobial activity using smoothed amino acid sequence descriptors

Protegrin antimicrobial peptides (AMP) possess a high activity against a variety of microorganisms. In the present contribution, we analyse the structural requirements of protegrin analogues reported by Ostberg and Kaznessis (Peptides 2005; 26: 197) for having antimicrobial activity against several microbial species by using interpretable QSAR models. Models were carried out using multiple linear regression (MLR) combined with genetic algorithm (GA) and smoothed amino acid sequence properties were employed for characterizing the peptide dataset. The main advantage of smoothing process is the alteration of local amino acid properties by the properties of the amino acids in the closer neighbourhood. We report models encompassing different characteristics for describing the activities against different microbial species. Our results suggest the existence of specific mechanisms of action for protegrin analogues against different microbial species.