Glucose and related sugars repress the transcription of genes encoding enzymes required for the utilization of alternative carbon sources; some of these genes are also repressed by other sugars such as galactose, and the process is known as catabolite repression. The different sugars produce signals which modify the conformation of certain proteins that, in turn, directly or through a regulatory cascade affect the expression of the genes subject to catabolite repression. These genes are not all controlled by a single set of regulatory proteins, but there are different circuits of repression for different groups of genes. However, the protein kinase Snf1/Cat1 is shared by the various circuits and is therefore a central element in the regulatory process. Snf1 is not operative in the presence of glucose, and preliminary evidence suggests that Snf1 is in a dephosphorylated state under these conditions. However, the enzymes that phosphorylate and dephosphorylate Snf1 have not been identified, and it is not known how the presence of glucose may affect their activity. What has been established is that Snf1 remains active in mutants lacking either the proteins Grr1/Cat80 or Hxk2 or the Glc7 complex, which functions as a protein phosphatase. One of the main roles of Snf1 is to relieve repression by the Mig1 complex, but it is also required for the operation of transcription factors such as Adr1 and possibly other factors that are still unidentified. Although our knowledge of catabolite repression is still very incomplete, it is possible in certain cases to propose a partial model of the way in which the different elements involved in catabolite repression may be integrated.

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Yeast Carbon Catabolite Repression

A number of different approaches have been described to identify proteins from tandem mass spectrometry (MS/MS) data. The most common approaches rely on the available databases to match experimental MS/MS data. These methods suffer from several drawbacks and cannot be used for the identification of proteins from unknown genomes. In this communication, we describe a new de novo sequencing software package, PEAKS, to extract amino acid sequence information without the use of databases. PEAKS uses a new model and a new algorithm to efficiently compute the best peptide sequences whose fragment ions can best interpret the peaks in the MS/MS spectrum. The output of the software gives amino acid sequences with confidence scores for the entire sequences, as well as an additional novel positional scoring scheme for portions of the sequences. The performance of PEAKS is compared with Lutefisk, a well-known de novo sequencing software, using quadrupole-time-of-flight (Q-TOF) data obtained for several tryptic peptides from standard proteins.

/pdf/peaks-powerful-software-for-peptide-de-novo-sequencing-by-1htzy7q8mi.pdf

PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry

Crystal structures of a complexed and peptide-free membrane protein-binding domain: molecular basis of peptide recognition by PDZ.

A large number of new bacteriocins in lactic acid bacteria (LAB) has been characterized in recent years. Most of the new bacteriocins belong to the class II bacteriocins which are small (30–100 amino acids) heat-stable and commonly not post-translationally modified. While most bacteriocin producers synthesize only one bacteriocin, it has been shown that several LAB produce multiple bacteriocins (2–3 bacteriocins).

Biosynthesis of bacteriocins in lactic acid bacteria

This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochastic heuristics for optimization. Applications in genomics, proteomics, systems biology, evolution and text mining are also shown.

/pdf/machine-learning-in-bioinformatics-5gfm1x1ssk.pdf

Machine learning in bioinformatics

Tandem mass spectrometry fragments a large number of molecules of the same peptide sequence into charged molecules of prefix and suffix peptide subsequences and then measures mass/charge ratios of ...

/pdf/a-dynamic-programming-approach-to-de-novo-peptide-sequencing-49ugdqgpgr.pdf

A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry

Tandem mass spectrometry fragments a large number of molecules of the same peptide sequence into charged molecules of prefix and suffix peptide subsequences and then measures mass/charge ratios of these ions. The de novo peptide sequencing problem is to reconstruct the peptide sequence from a given tandem mass spectral data of k ions. By implicitly transforming the spectral data into an NC-spectrum graph G (V, E) where /V/ = 2k + 2, we can solve this problem in O(/V//E/) time and O(/V/2) space using dynamic programming. For an ideal noise-free spectrum with only b- and y-ions, we improve the algorithm to O(/V/ + /E/) time and O(/V/) space. Our approach can be further used to discover a modified amino acid in O(/V//E/) time. The algorithms have been implemented and tested on experimental data.

A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry.

The peptide antibiotic, colicin V (ColV), has been purified and characterized from Escherichia coli culture supernatants by precipitation with trichloroacetic acid (TCA) and high-performance liquid chromatography (HPLC). Polyacrylamide gel electrophoresis (PAGE) and Western analysis identifies ColV as a polypeptide with an apparent molecular mass of 5.8 kDa. The protein identified remains biologically active after purification and SDS-PAGE. A mutant form of ColV, ColV-1, removes the carboxy-terminal 21 amino acids and replaces them with eight heterologous residues. The ColV-1 mutant is also secreted into the extracellular medium, demonstrating that the carboxy-terminal 21 amino acids are not required for secretion by the dedicated ColV export system, CvaAB/TolC. N-Terminal amino acid sequencing shows that the primary translation product of cvaC, the ColV structural gene, is processed to remove the N-terminal 15 amino acids. The cleavage site is preceded by the sequence Ser-Gly-Gly, making it a potential substrate for leader peptidase. The ColV leader sequence has many characteristics in common with the amino-terminal leader sequences of the lactococcins, lactacins, and pediocins from Gram-positive bacteria. Mass spectroscopy of purified ColV shows that it has a mass of 8741.0 amu, consistent with the mass of the unmodified 88 amino acid polypeptide. The purification scheme provides a rapid and simple way to obtain ColV for further biochemical analysis.

Purification and characterization of colicin V from Escherichia coli culture supernatants.

Yeast hexokinase 2 is known to be a phosphoprotein in vivo, prominently labeled from 32P-inorganic phosphate after a shift of cells to medium with low glucose concentration [Vojtek, A. B., & Fraenkel D. G. (1990) Eur. J. Biochem, 190, 371-375]. The principal and perhaps sole site of phosphorylation is now identified as residue serine-15, by observation of a single tryptic peptide difference, its sequencing and size determination by mass spectrometry, and by mutation to alanine, which prevents phosphorylation in vivo. Although protein kinase A was unlikely to accomplish the phosphorylation in vivo, serine-15 does belong to a protein kinase A consensus phosphorylation sequence, and in vitro phosphorylation by protein kinase A at serine-15 could be shown by labeling and by peptide determination. The alanine-15 mutant enzyme was not phosphorylated in vitro.

John Rush

Papers

A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry

A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry.

Purification and characterization of colicin V from Escherichia coli culture supernatants.

In vivo phosphorylation site of hexokinase 2 in Saccharomyces cerevisiae

Effects of calcium channel blockers on coronary vasoconstriction induced by endothelin-1 in closed chest pigs