Diagnostic Techniques for COVID-19: A Mini-review of Early Diagnostic Methods.

The outbreak of severe pneumonia at the end of 2019 was proved to be caused by the SARS-CoV-2 virus spreading out the world. And COVID-19 spread rapidly through a terrible transmission way by human-to-human, which led to many suspected cases waiting to be diagnosed and huge daily samples needed to be tested by an effective and rapid detection method. With an increasing number of COVID-19 infections, medical pressure is severe.

FFA4 receptor (GPR120): A hot target for the development of anti-diabetic therapies.

Free Fatty Acid 4 receptor (FFA4 receptor or GPR120), a rhodopsin-like G protein coupled receptor (GPCR) subfamily member, is a receptor that senses specific fatty acids such as ω-3 fatty acid in fish oil or the endogenous signaling lipid, PHASA. FFA4 receptor is enriched in lung, colon and adipose tissue but is also detected in many other tissues and cells. The activation of FFA4 receptor has multiple effects, including but not limited to inhibition of inflammation, improving insulin sensitivity and adipogenesis, and regulating hormone secretion from the gastro-intestinal system and pancreatic islets.

Molecular mechanism of ERK dephosphorylation by striatal-enriched protein tyrosine phosphatase.

Striatal-enriched tyrosine phosphatase (STEP) is an important regulator of neuronal synaptic plasticity, and its abnormal level or activity contributes to cognitive disorders. One crucial downstream effector and direct substrate of STEP is extracellular signal-regulated protein kinase (ERK), which has important functions in spine stabilisation and action potential transmission. The inhibition of STEP activity toward phospho-ERK has the potential to treat neuronal diseases, but the detailed mechanism underlying the dephosphorylation of phospho-ERK by STEP is not known.

Carbohydrate biomarkers for future disease detection and treatment.

Carbohydrates are considered as one of the most important classes of biomarkers for cell types, disease states, protein functions, and developmental states. Carbohydrate "binders" that can specifically recognize a carbohydrate biomarker can be used for developing novel types of site specific delivery methods and imaging agents. In this review, we present selected examples of important carbohydrate biomarkers and how they can be targeted for the development of therapeutic and diagnostic agents.

Pharmacophore-based design, synthesis, biological evaluation, and 3D-QSAR studies of aryl-piperazines as alpha(1)-adrenoceptor antagonists.

Phenyl-piperazines were designed and synthesized based on pharmacophore for uro-selective alpha(1)-adrenoceptor antagonists and 3D chemical database searching. Within this series, three compounds, 2, 3, and 13, showed similar or better alpha(1)-AR antagonistic activity compared with prazosin. The 3D-QSAR study of these compounds may provide useful information for the development of novel aryl-piperazines as uro-selective alpha(1)-adrenoceptor antagonists, which can be used for the treatment of BPH with fewer side effects.

Characterization of binding site of closed-state KCNQ1 potassium channel by homology modeling, molecular docking, and pharmacophore identification.

This investigation was performed to assess the importance of interaction in the binding of blockers to KCNQ1 potassium using molecular modeling. This work could be considered made up by three main steps: (1) the construction of closed-state structure of KCNQ1 through homology modeling; (2) the automated docking of three blockers: IKS-142, L-735821, and BMS-IKS, using DOCK program; (3) the generation and validation of pharmacophore for KCNQ1 ligands using Catalyst/HypoGen. The obtained results highlight the hydrophobic or aromatic residues involved in S6 transmembrane domain and the base of the pore helix of KCNQ1, confirming the mutagenesis data and pharmacophore model, and giving new suggestions for the rational design of novel KCNQ1 ligands.

Pharmacophore identification of alpha(1A)-adrenoceptor antagonists.

A chemical feature based pharmacophore model was developed for alpha(1A)-adrenoceptor antagonists by HypoGen module implemented in catalyst software package. The best scoring pharmacophore hypothesis, Hypo1, consisted of four important chemical features (one positive ion, one hydrogen-bond donor, one aromatic ring, and one hydrophobic group). The results of our study provide a valuable tool in designing new leads with desired biological activity by virtual screening.

The pharmacophore hypotheses of I(Kr) potassium channel blockers: novel class III antiarrhythmic agents.

Predictive pharmacophore models were developed for a large series of I(Kr) potassium channel blockers as class III antiarrhythmic agents using HypoGen in Catalyst software. The pharmacophore hypotheses were generated using a training set consisting of 34 compounds carefully selected from documents. Their biological data, expressed as IC(50), spanned from 1.