Design of a selective peptide inhibitor targeting KDM5C demethylase activity.

Post-translational modifications, particularly protein lysine demethylation, intricately regulate diverse cellular processes. Dysregulation of this modification often precipitates human pathologies by perturbing substrate protein functions, stability, and interactions. Lysine demethylases (KDMs), such as the KDM5 family, are crucial in removing methyl marks.

Systematic optimization of antimicrobial peptides against .

Objectives: Antimicrobial resistance is a growing concern and claims over 1 million lives per year. The discovery of new antimicrobial drugs is expensive and often generates low profitability, with very low success rates. One way to combat this is by the improvement of known antimicrobials, such as antimicrobial peptides (AMPs).

Unraveling the battle for lysine: A review of the competition among post-translational modifications.

Proteins play a critical role as key regulators in various biological systems, influencing crucial processes such as gene expression, cell cycle progression, and cellular proliferation. However, the functions of proteins can be further modified through post-translational modifications (PTMs), which expand their roles and contribute to disease progression when dysregulated. In this review, we delve into the methodologies employed for the characterization of PTMs, shedding light on the techniques and tools utilized to help unravel their complexity.

Assessing sequence-based protein-protein interaction predictors for use in therapeutic peptide engineering.

Engineering peptides to achieve a desired therapeutic effect through the inhibition of a specific target activity or protein interaction is a non-trivial task. Few of the existing in silico peptide design algorithms generate target-specific peptides. Instead, many methods produce peptides that achieve a desired effect through an unknown mechanism.

Sex differences in developmental patterns of neocortical astroglia: A mouse translatome database.

Astroglial cells are key players in the development and maintenance of neurons and neuronal networks. Astroglia express steroid hormone receptors and show rapid responses to hormonal manipulations. However, despite important sex differences in the cortex and hippocampus, few studies have examined sex differences in astroglial cells in telencephalic development.

Using Machine Learning and Targeted Mass Spectrometry to Explore the Methyl-Lys Proteome.

Protein lysine methylation mediates a variety of biological processes, and their dysregulation has been established to play pivotal roles in human disease. A number of these sites constitute attractive drug targets. However, systematic identification of methylation sites is challenging and resource intensive.

Proteome-wide Prediction of Lysine Methylation Leads to Identification of H2BK43 Methylation and Outlines the Potential Methyllysine Proteome.

Protein Lys methylation plays a critical role in numerous cellular processes, but it is challenging to identify Lys methylation in a systematic manner. Here we present an approach combining in silico prediction with targeted mass spectrometry (MS) to identify Lys methylation (Kme) sites at the proteome level. We develop MethylSight, a program that predicts Kme events solely on the physicochemical properties of residues surrounding the putative methylation sites, which then requires validation by targeted MS.

Data-Driven Audiogram Classification for Mobile Audiometry.

Recent mobile and automated audiometry technologies have allowed for the democratization of hearing healthcare and enables non-experts to deliver hearing tests. The problem remains that a large number of such users are not trained to interpret audiograms. In this work, we outline the development of a data-driven audiogram classification system designed specifically for the purpose of concisely describing audiograms.

Purification and characterization of Campylobacter jejuni ferric uptake regulator.

The ferric uptake regulator (Fur) is a superfamily of transcription factors found in bacteria which control the expression of a myriad of genes. In this study, we report a simple protocol for the purification of recombinant untagged Campylobacter jejuni Fur (CjFur). CjFur was isolated using a combination of three ion exchange chromatography steps followed by size exclusion chromatography on a Superdex 75.

Crystal structure of Campylobacter jejuni peroxide regulator.

In Campylobacter jejuni (Cj), the metal-cofactored peroxide response regulator (PerR) transcription factor allows C. jejuni to respond to oxidative stresses. The crystal structure of the metalated form of CjPerR shows that the protein folds as an asymmetric dimer displaying structural differences in the orientation of its DNA-binding domain.

Functional insights into the interplay between DNA interaction and metal coordination in ferric uptake regulators.

Ferric uptake regulators (Fur) are a family of transcription factors coupling gene regulatory events to metal concentration. Recent evidence has expanded the mechanistic repertoires employed by Fur to activate or repress gene expression in the presence or absence of regulatory metals. However, the mechanistic basis underlying this extended repertoire has remained largely unexplored.