An unusual intramolecular trans-amidation

iAmideV-Deep: Valine Amidation Site Prediction in Proteins Using Deep Learning and Pseudo Amino Acid Compositions

Amidation is an important post translational modification where a peptide ends with an amide group (–NH2) rather than carboxyl group (–COOH). These amidated peptides are less sensitive to proteolytic degradation with extended half-life in the bloodstream. Amides are used in different industries like pharmaceuticals, natural products, and biologically active compounds. The in-vivo, ex-vivo, and in-vitro identification of amidation sites is a costly and time-consuming but important task to study the physiochemical properties of amidated peptides. A less costly and efficient alternative is to supplement wet lab experiments with accurate computational models. Hence, an urgent need exists for efficient and accurate computational models to easily identify amidated sites in peptides. In this study, we present a new predictor, based on deep neural networks (DNN) and Pseudo Amino Acid Compositions (PseAAC), to learn efficient, task-specific, and effective representations for valine amidation site identification. Well-known DNN architectures are used in this contribution to learn peptide sequence representations and classify peptide chains. Of all the different DNN based predictors developed in this study, Convolutional neural network-based model showed the best performance surpassing all other DNN based models and reported literature contributions. The proposed model will supplement in-vivo methods and help scientists to determine valine amidation very efficiently and accurately, which in turn will enhance understanding of the valine amidation in different biological processes.

Styrylisoxazole-based fluorescent probes for the detection of hydrogen sulfide

Styrylisoxazoles bearing a nitro group were utilized for detection of H₂S through a reduction reaction.

Recruitment and Regulation of the Non-ribosomal Peptide Synthetase Modifying Cytochrome P450 Involved in Nikkomycin Biosynthesis

The β-hydroxylation of l-histidine is the first step in the biosynthesis of the imidazolone base of the antifungal drug nikkomycin. The cytochrome P450 (NikQ) hydroxylates the amino acid while it is appended via a phosphopantetheine linker to the non-ribosomal peptide synthetase (NRPS) NikP1. The latter enzyme is comprised of an MbtH and single adenylation and thiolation domains, a minimal composition that allows for detailed binding and kinetics studies using an intact and homogeneous NRPS substrate. Electron paramagnetic resonance studies confirm that a stable complex is formed with NikQ and NikP1 when the amino acid is tethered. Size exclusion chromatography is used to further refine the principal components that are required for this interaction. NikQ binds NikP1 in the fully charged state, but binding also occurs when NikP1 is lacking both the phosphopantetheine arm and appended amino acid. This demonstrates that the interaction is mainly guided by presentation of the thiolation domain interface, rather than the attached amino acid. Electrochemistry and transient kinetics have been used to probe the influence of l-His-NikP1 binding on catalysis by NikQ. Unlike many P450s, the binding of substrate fails to induce significant changes on the redox potential and autoxidation properties of NikQ and slows down the binding of dioxygen to the ferrous enzyme to initiate catalysis. Collectively, these studies demonstrate a complex interplay between the NRPS maturation process and the recruitment and regulation of an auxiliary tailoring enzyme required for natural product biosynthesis.