Structure-based approaches against COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has had a major impact on human life. This review highlights the versatile roles of both classical and modern structure-based approaches for COVID-19. X-ray crystallography, nuclear magnetic resonance spectroscopy, and cryogenic electron microscopy are the three cornerstones of classical structural biology. These technologies have helped provide fundamental and detailed knowledge regarding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the related human host proteins as well as enabled the identification of its target sites, facilitating the cessation of its transmission. Further progress into protein structure modeling was made using modern structure-based approaches derived from homology modeling and integrated with artificial intelligence (AI), facilitating advanced computational simulation tools to actively guide the design of new vaccines and the development of anti-SARS-CoV-2 drugs. This review presents the practical contributions and future directions of structure-based approaches for COVID-19.

Portable sensing devices for smart healthcare and prevention of lead poisoning.

Lead (Pb) poisoning can damage human bodies silently, without specific symptoms or conspicuous warning signs. To provide safe and user-friendly tools for detecting heavy metals at low concentrations, scientists have developed and optimized versatile biosensors. To practically employ the developed biosensors specific for Pb (eg, the optimized Met-lead 1.44 M1), smartphone applications designed for user convenience and are easily operable for the on-site detection of Pb in environmental water, drinking water, food, and blood/urine are urgently needed. To establish a monitoring system for home health maintenance, a portable device and useful apps installed on a smartphone can be integrated, and the data acquired can be sent to and stored in the cloud for further analysis and evidence preservation. With the high transmissions speeds for 4G and 4G wireless Internet, such a system can be applied for health protection; water-quality data can be provided by anyone and publicly shared for display on smartphone interfaces, alerting individuals of heavy metal contamination. In this review, we describe recent developments in heavy metal-sensing devices, including home health maintenance systems, which have been successfully and practically applied to prevent heavy metal Pb poisoning.

Predicting the Assembly of the Transmembrane Domains of Viral Channel Forming Proteins and Peptide Drug Screening Using a Docking Approach.

A de novo assembly algorithm is provided to propose the assembly of bitopic transmembrane domains (TMDs) of membrane proteins. The algorithm is probed using, in particular, viral channel forming proteins (VCPs) such as M2 of influenza A virus, E protein of severe acute respiratory syndrome corona virus (SARS-CoV), 6K of Chikungunya virus (CHIKV), SH of human respiratory syncytial virus (hRSV), and Vpu of human immunodeficiency virus type 2 (HIV-2). The generation of the structures is based on screening a 7-dimensional space. Assembly of the TMDs can be achieved either by simultaneously docking the individual TMDs or via a sequential docking. Scoring based on estimated binding energies (EBEs) of the oligomeric structures is obtained by the tilt to decipher the handedness of the bundles. The bundles match especially well for all-atom models of M2 referring to an experimentally reported tetrameric bundle. Docking of helical poly-peptides to experimental structures of M2 and E protein identifies improving EBEs for positively charged (K,R,H) and aromatic amino acids (F,Y,W). Data are improved when using polypeptides for which the coordinates of the amino acids are adapted to the Cα coordinates of the respective experimentally derived structures of the TMDs of the target proteins.