An immunoinformatic approach to assessing the immunogenic capacity of alpha-neurotoxins in elapid snake venoms.

Most elapid snakes produce venoms that contain alpha-neurotoxins (α-NTXs), which are proteins that cause post-synaptic blockade and paralysis in snakebite envenoming. However, existing elapid antivenoms are known for their low potency in neutralizing the neurotoxic activity of α-NTXs, while the immunological basis has not been elucidated. In this study, a structure-based major histocompatibility complex II (MHCII) epitope predictor of horse (), complemented with DM-editing determinant screening algorithm was adopted to assess the immunogenicity of α-NTXs in the venoms of major Asiatic elapids ().

Increased Interleukin-17 and Glucocorticoid Receptor-β Expression in Interstitial Lung Diseases and Corticosteroid Insensitivity.

Background: Treatment responsiveness to corticosteroids is excellent for cryptogenic organizing pneumonia (COP) and sarcoidosis, but suboptimal for idiopathic pulmonary fibrosis (IPF)/usual interstitial pneumonia (UIP). We hypothesise that the differential expression of IL-17 contributes to variable corticosteroid sensitivity in different interstitial lung diseases.

Objective: To determine the associations among expression of IL-17, glucocorticoid receptor-β and responsiveness to corticosteroid treatment in interstitial lung diseases.

Hit-to-Lead Short Peptides against Dengue Type 2 Envelope Protein: Computational and Experimental Investigations.

Data from the World Health Organisation show that the global incidence of dengue infection has risen drastically, with an estimated 400 million cases of dengue infection occurring annually. Despite this worrying trend, there is still no therapeutic treatment available. Herein, we investigated short peptide fragments with a varying total number of amino acid residues (peptide fragments) from previously reported dengue virus type 2 (DENV2) peptide-based inhibitors, DN58wt (GDSYIIIGVEPGQLKENWFKKGSSIGQMF), DN58opt (TWWCFYFCRRHHPFWFFYRHN), DS36wt (LITVNPIVTEKDSPVNIEAE), and DS36opt (RHWEQFYFRRRERKFWLFFW), aided by in silico approaches: peptide-protein molecular docking and 100 ns of molecular dynamics (MD) simulation via molecular mechanics using Poisson-Boltzmann surface area (MMPBSA) and molecular mechanics generalised Born surface area (MMGBSA) methods.

Automated EGFR Peptide Inhibitor Elongation using Self-evolving Peptide Algorithm.

Background: The vast diversity of peptide sequences may hinder the effectiveness of screening for potential peptide therapeutics as if searching for a needle in a haystack. This study aims to develop a new self-evolving peptide algorithm (SEPA), for easy virtual screening of small linear peptides (three to six amino acids) as potential therapeutic agents with the collaborative use of freely available software that can be run on any operating system equipped with a Bash scripting terminal. Mitogen-inducible Gene 6 (Mig6) protein, a cytoplasmic protein responsible for inhibition and regulation of epidermal growth factor receptor tyrosine kinase, was used to demonstrate the algorithm.

A Reverse Structure-based Design of HPV E7 Inhibitor.

Background: Human papillomavirus (HPV) is a small, non-enveloped double-stranded circular DNA virus. The high-risk types of HPV are claimed to be responsible for over 99% of cervical cancers. One of the essential HPV oncoproteins, E7, is responsible for escaping from G1/S cell cycle arrest in HPV-infected cells by binding to the retinoblastoma protein (pRb) through its LXCXE binding site.