Amino Acids

Automated feature engineering improves prediction of protein–protein interactions Abstract Over the last decade, various machine learning (ML) and statistical approaches for protein–protein interaction (PPI) predictions have been developed to help annotating functional interactions among proteins, essential for our system-level understanding of life. Efficient ML approaches require informative and non-redundant features. In this paper, we introduce novel types of expert-crafted sequence, evolutionary and graph features and apply automatic feature engineering to further expand feature space to improve predictive modeling. The two-step automatic feature-engineering process encompasses the hybrid method for feature generation and unsupervised feature selection, followed by supervised feature selection through a genetic algorithm (GA). The optimization of both steps allows the feature-engineering procedure to operate on a large transformed feature space with no considerable computational cost and to efficiently provide newly engineered features. Based on GA and correlation filtering, we developed a stacking algorithm GA-STACK for automatic ensembling of different ML algorithms to improve prediction performance. We introduced a unified method, HP-GAS, for the prediction of human PPIs, which incorporates GA-STACK and rests on both expert-crafted and 40% of newly engineered features. The extensive cross validation and comparison with the state-of-the-art methods showed that HP-GAS represents currently the most efficient method for proteome-wide forecasting of protein interactions, with prediction efficacy of 0.93 AUC and 0.85 accuracy. We implemented the HP-GASmethod as a free standalone application which is a time-efficient and easy-to-use tool. HP-GAS software with supplementary data can be downloaded from: http://www.vinca.rs/180/tools/HP-GAS.php.

Regulation of arginine biosynthesis, catabolism and transport in Escherichia coli Abstract Already very early, the study of microbial arginine biosynthesis and its regulation contributed significantly to the development of new ideas and concepts. Hence, the term "repression" was proposed by Vogel (The chemical basis of heredity, The John Hopkins Press, Baltimore, 1957) (in opposition to induction) to describe the relative decrease in acetylornithinase production in Escherichia coli cells upon arginine supplementation, whereas the term "regulon" was coined by Maas and Clark (J Mol Biol 8:365–370, 1964) for the ensemble of arginine biosynthetic genes dispersed over the E. coli chromosome but all subjected to regulation by the trans-acting argR gene product. Since then, unraveling of the molecular mechanisms controlling arginine biosynthesis, catabolism, and transport in and out the cell, have revealed moonlighting activities of enzymes and transcriptional regulators that generate unexpected interconnections between at first sight totally unrelated cellular processes, and have continued to replenish scientific knowledge and stimulated creative thinking. Furthermore, arginine is much more than just a common amino acid for protein synthesis. It may also be used as sole source of nitrogen by E. coli and a source of nitrogen, carbon and energy by many other bacteria. It is a substrate for the synthesis of polyamines, and important for the extreme acid resistance of E. coli. Furthermore, the guanidino group of arginine is well suited to engage in multiple interactions involving hydrogen bonds and ionic interactions with proteins and nucleic acids. Here, we combine major historical discoveries with current state of the art knowledge on arginine biosynthesis, catabolism and transport, and especially the regulation of these processes in E. coli, with reference to other microorganisms.

The hypertrehalosaemic neuropeptide conformational twins of cicadas consist of only l -amino acids: are they cis – trans isomers? Abstract It is known for almost 25 years that the corpora cardiaca (neurosecretory glands) of cicadas synthesize two isobaric peptides with hypertrehalosaemic activity denominated Placa-HrTH-I and II. Both decapeptides have the same amino acid sequence (pGlu-Val-Asn-Phe-Ser-Pro-Ser-Trp-Gly-Asn amide) and mass, but differ in their chromatographic retention time. The slightly more hydrophobic peptide, Placa-HrTH-II, co-elutes with the synthetic peptide of the same sequence and is less active in biological assays than Placa-HrTH-I. Ion mobility separation in conjunction with high-resolution mass spectrometry detected the differing structural feature between both peptides in the region Pro6-Ser7-Trp8. Here, it was shown that Placa-HrTH-I co-eluted with a synthetic peptide containing d-Pro in position 6, while dextrorotatory amino acid residues in positions 7 and 8 could be excluded in this way. Amino acid hydrolysis followed by chiral analysis using a relative of Marfey's reagent was then used to validate the presence of d-Pro in Placa-HrTH-I. Interestingly, this experiment unambiguously proved both the absence of d-Pro and the presence of l-Pro in Placa-HrTH-I. Racemization as a reason for the structural differences of the twin adipokinetic hormones was hence ruled out and cis–trans isomerism as the likely alternative came into focus. It remains to be investigated if Pro6 in cis-conformation is indeed present and responsible for the increased bioactivity of Placa-HrTH-I.

Investigation of the impact of PTMs on the protein backbone conformation Abstract Post-translational modifications (PTMs) are known to play a critical role in the regulation of protein functions. Their impact on protein structures and their link to disorder regions have already been spotted in the past decade. Nonetheless, the high diversity of PTM types and the multiple schemes of protein modifications (multiple PTMs, of different types, at different time, etc.) make difficult the direct confrontation of PTM annotations and protein structure data. Therefore, we analyzed the impact of the residue modifications on the protein structures at the local level. Thanks to a dedicated structure database, namely PTM-SD, a large screen of PTMs have been done and analyzed at local protein conformation levels using the structural alphabet protein blocks (PBs). We investigated the relation between PTMs and the backbone conformation of modified residues, of their local environment, and at the level of the complete protein structure. The two main PTM types (N-glycosylation and phosphorylation) have been studied in non-redundant datasets, and then four different proteins were focused, covering three types of PTMs: N-glycosylation in renin endopeptidase and liver carboxylesterase, phosphorylation in cyclin-dependent kinase 2 (CDK2), and methylation in actin. We observed that PTMs could either stabilize or destabilize the backbone structure, at a local and global scale, and that these effects depend on the PTM types.

Isolation from Stevia rebaudiana of DMDP acetic acid, a novel iminosugar amino acid: synthesis and glycosidase inhibition profile of glycine and β-alanine pyrrolidine amino acids Abstract DMDP acetic acid [N-carboxymethyl-2,5-dideoxy-2,5-imino-d-mannitol] 5 from Stevia rebaudiana is the first isolated natural amino acid derived from iminosugars bearing an N-alkyl acid side chain; it is clear from GCMS studies that such derivatives with acetic and propionic acids are common in a broad range of plants including mulberry, Baphia, and English bluebells, but that they are very difficult to purify. Reaction of unprotected pyrrolidine iminosugars with aqueous glyoxal gives the corresponding N-acetic acids in very high yield; Michael addition of both pyrrolidine and piperidine iminosugars and that of polyhydroxylated prolines to tert-butyl acrylate give the corresponding N-propionic acids in which the amino group of β-alanine is incorporated into the heterocyclic ring. These easy syntheses allow the identification of this new class of amino acid in plant extracts and provide pure samples for biological evaluation. DMDP N-acetic and propionic acids are potent α-galactosidase inhibitors in contrast to potent β-galactosidase inhibition by DMDP.

Genetic regulation of dimethylarginines and endothelial dysfunction in rheumatoid arthritis Abstract Rheumatoid Arthritis (RA) confers an increased cardiovascular disease (CVD) risk which accounts for much of the premature morbidity and mortality observed in this population. Alterations in vascular function and morphology leading to increased atherosclerotic burden are considered the main drivers of CVD in RA individuals with systemic inflammation playing a key role in the dysregulation of endothelial homeostasis and initiation of vascular injury. Dimethylarginines are endogenous inhibitors of nitric oxide (NO) synthase and have emerged as novel, independent biomarkers of CVD in a wide range of conditions associated with vascular pathology. In RA several reports have demonstrated abnormal dimethylarginine metabolism attributable to various factors such as systemic inflammation, decreased degradation or upregulated synthesis. Although a causal relationship between dimethylarginines and vascular damage in RA has not been established, the tight interrelations between inflammation, dimethylarginines and endothelial dysfunction suggest that determination of dimethylarginine regulators may shed more light in the pathophysiology of the atherosclerotic process in RA and may also provide new therapeutic targets. The Alanine–Glyoxylate Aminotransferase 2 (AGTX2)-dependent pathway is a relatively recently discovered alternative pathway of dimethylarginine catabolism and its role on RA-related atherosclerotic disease is yet to be established. As factors affecting dimethylarginine concentrations linked to CVD risk and endothelial dysfunction are of prominent clinical relevance in RA, we present preliminary evidence that gene variants of AGTX-2 may influence dimethylarginine levels in RA patients and provide the rationale for larger studies in this field.

Discrimination power of knowledge-based potential dictated by the dominant energies in native protein structures Abstract Extracting a well-designed energy function is important for protein structure evaluation. Knowledge-based potential functions are one type of the energy functions which can be obtained from known protein structures. The pairwise potential between atom types is approximated using Boltzmann's law which relates the frequency of atom types to its potential. The total energy is approximated as a summation of pairwise potential between the atomic pairs. In the present study, the performance of knowledge-based potential function was assessed based on the strength of interaction between groups of amino acids. The dominant energies involved in the pairwise potentials were revealed by eigenvalue analysis of the matrix, the elements of which represent the energy between amino acids. For this purpose, the matrix including the mean of the energies of residue–residue interaction types was constructed using 500 native protein structures. The matrix has a dominant eigenvalue and amino acids, with LEU, VAL, ILE, PHE, TYR, ALA and TRP having high values along the dominant eigenvector. The results show that the ranking of amino acids is consistent with the power of amino acids in discriminating native structures using K-alphabet reduced model. In the reduced interactions, only amino acids from a subset of all 20 amino acids, along with their interactions are considered to assess the energy. In the K-alphabet reduced model, the reduced structures are constructed based on only the K-amino acid types. The dominant K-alphabet reduced model derived for the k-first amino acids in the list [LEU, VAL, PHE, ILE, TYR, ALA, TRP] of amino acids has the best discrimination of native structure among all possible K-alphabet reduced models. Knowledge-based potentials might be improved with a new strategy.

Dietary supplementation with arginine and glutamic acid alters the expression of amino acid transporters in skeletal muscle of growing pigs Abstract Sixty Duroc × Large White × Landrace pigs with an average initial body weight (BW) of 77.1 ± 1.3 kg were selected to investigate the effects of dietary supplementation with arginine (Arg) and/or glutamic acid (Glu) on free amino acid (FAA) profiles, expression of AA transporters, and growth-related genes in skeletal muscle. The animals were randomly assigned to one of five treatment groups (basic diet, iso-nitrogenous, Arg, Glu, and Arg + Glu groups). The results showed that plasma Glu concentration was lowest in the Arg + Glu group and highest in the Glu group (P < 0.05). In the longissimus dorsi (LD) muscle, the concentrations of histidine, Arg, and taurine in the Arg + Glu group were higher, and the concentrations of 3-methylhistidine was lower, than in the basic diet group (P < 0.05). The mRNA levels of ASC amino acid transporter-2 (ASCT2), L-type AA transporter 1, and sodium-coupled neutral amino acid transporter 2 in the LD muscle, as well as the mRNA levels of ASCT2 and proton-assisted amino acid transporter in the biceps femoris (BF) muscle, were higher in the Arg + Glu group compared to the basic diet group (P < 0.05). The mRNA levels of the muscle-specific RING finger-1 and muscle atrophy F-box genes in the LD muscle were downregulated in the Glu and Arg + Glu groups compared to the basic diet group (P < 0.05). Collectively, these findings suggest that dietary supplementation with both Arg and Glu increases intramuscular FAA concentrations and decreases the mRNA levels of genes involved in protein degradation in skeletal muscle.

The proton-coupled oligopeptide transporters PEPT2, PHT1 and PHT2 mediate the uptake of carnosine in glioblastoma cells Abstract The previous studies demonstrated that carnosine (β-alanyl-l-histidine) inhibits the growth of tumor cells in vitro and in vivo. Considering carnosine for the treatment of glioblastoma, we investigated which proton-coupled oligopeptide transporters (POTs) are present in glioblastoma cells and how they contribute to the uptake of carnosine. Therefore, mRNA expression of the four known POTs (PEPT1, PEPT2, PHT1, and PHT2) was examined in three glioblastoma cell lines, ten primary tumor cell cultures, in freshly isolated tumor tissue and in healthy brain. Using high-performance liquid chromatography coupled to mass spectrometry, the uptake of carnosine was investigated in the presence of competitive inhibitors and after siRNA-mediated knockdown of POTs. Whereas PEPT1 mRNA was not detected in any sample, expression of the three other transporters was significantly increased in tumor tissue compared to healthy brain. In cell culture, PHT1 expression was comparable to expression in tumor tissue, PHT2 exhibited a slightly reduced expression, and PEPT2 expression was reduced to normal brain tissue levels. In the cell line LN405, the competitive inhibitors β-alanyl-l-alanine (inhibits all transporters) and l-histidine (inhibitor of PHT1/2) both inhibited the uptake of carnosine. SiRNA-mediated knockdown of PHT1 and PHT2 revealed a significantly reduced uptake of carnosine. Interestingly, despite its low expression at the level of mRNA, knockdown of PEPT2 also resulted in decreased uptake. In conclusion, our results demonstrate that the transporters PEPT2, PHT1, and PHT2 are responsible for the uptake of carnosine into glioblastoma cells and full function of all three transporters is required for maximum uptake.

Novel stable analogues of the neurotensin C-terminal hexapeptide containing unnatural amino acids Abstract Neurotensin (NT) (pGlu–Leu–Tyr–Glu–Asn–Lys–Pro–Arg–Arg–Pro–Tyr–Ile–Leu) exerts a dual function as a neurotransmitter/neuromodulator in the central nervous system and as a hormone/cellular mediator in periphery. This dual function of NT establishes a connection between brain and peripheral tissues that renders this peptide a central player in energy homeostasis. Many biological actions of NT are mediated through its interaction with three types of NT receptors (NTS receptors). Despite its role in energy homeostasis, NT has a short half-life that hampers further determination of the biological actions of this peptide and its receptors in brain and periphery. The short half-life of NT is due to the proteolytic degradation of its C-terminal side by several endopeptidases. Therefore, it is important to synthesize NT analogues with resistant bonds against metabolic deactivation. Based on these findings, we herein report the synthesis of ten linear, two cyclic and two dimeric analogues of NT with modifications in its structure that improve their metabolic stability, while retaining the ability to bind to NTS receptors. Modifications at position 11 (introduction of d-Tyrosine (OEthyl) [d-Tyr(Et)] or d-1-naphtylalanine [d-1-Nal] were combined with introduction of a l-Lysine or a d-Arginine at positions 8 or 9, and 1-[2-(aminophenyl)-2-oxoethyl]-1H-pyrrole-2-carboxylic acid (AOPC) at positions 7 or 8, resulting in compounds NT4-NT21. AOPC is an unnatural amino acid with promise in applications as a building block for the synthesis of peptidomimetic compounds. To biologically evaluate these analogues, we determined their plasma stability and their binding affinities to type 1 NT receptor (NTS1), endogenously expressed in HT-29 cells, Among the fourteen NT analogues, compounds, NT5, NT6, and NT8, which have d-Tyr(Et) at position 11, bound to NTS1 in a dose–response manner and with relatively high affinity but still lower than that of the natural peptide. Despite their lower binding affinities compared to NT, the NT5, NT6, and NT8 exhibited a remarkably higher stability, as a result of their chemistry, which provides protection from enzymatic activity. These results will set the basis for the rational design of novel NT molecules with improved pharmacological properties and enhanced enzymatic stability.

Alexandros Sfakianakis
Anapafseos 5 . Agios Nikolaos
Crete.Greece.72100
2841026182

6948891480

alsfakia@gmail.com