Recognition of the sequence of human genome sequence is vital to address malfunctions occurring at molecular, cellular and tissue levels and requires a great deal of time, cost and efforts. Thus, various synthetic and natural pores were considered to fabricate high-throughput systems capable to fulfill the task in an efficient manner. Here, voltage gating OmpF nanochannel, whose structure is known at an atomic level, was used to recognize and differentiate between polynucleotide primers through voltage clamp technique. Our results showed that poly(T) occasionally blocked the channel at both polarities, while poly(C) and poly(G) obstructed it only at positive polarity. The channel was blocked at potential differences of as low as 80 mV in the presence of poly(T). The conductance of channel decreased in the presence of poly(C) and poly(G) by 61 and 5% respectively. Analysis of the number of events showed that poly(T) caused more closing events at higher voltages, while poly(G) and poly(C) induced it at lower voltages. Application of the hazard function as a statistical parameter and analysis of event closing times in various voltages demonstrated the most efficient differentiation at 60 mV. The results of practical and theoretical approaches presented here show that OmpF porin channel possesses the structural and dynamic characteristics required to be considered as a biosensor capable for continuous polynucleotide sequencing.

Although COVID-19 emerged as a major concern to public health around the world, no licensed medication has been found as of yet to efficiently stop the virus spread and treat the infection. The SARS-CoV-2 entry into the host cell is driven by the direct interaction of the S1 domain with the ACE-2 receptor followed by conformational changes in the S2 domain, as a result of which fusion peptide is inserted into the target cell membrane, and the fusion process is mediated by the specific interactions between the heptad repeats 1 and 2 (HR1 and HR2) that form the six-helical bundle. Since blocking this interaction between HRs stops virus fusion and prevents its subsequent replication, the HRs inhibitors can be used as anti-COVID drugs. The initial drug selection is based on existing molecular databases to screen for molecules that may have a therapeutic effect on coronavirus. Based on these premises, we chose two approved drugs to investigate their interactions with the HRs (based on docking methods). To this end, molecular dynamics simulations and molecular docking were carried out to investigate the changes in the structure of the SARS-CoV-2 spike protein. Our results revealed, cefpiramide has the highest affinity to S protein, thereby revealing its potential to become an anti-COVID-19 clinical medicine. Therefore, this study offers new ways to re-use existing drugs to combat SARS-CoV-2 infection.