Environment modulates protein heterogeneity through transcriptional and translational stop codon readthrough.

Stop codon readthrough events give rise to longer proteins, which may alter the protein's function, thereby generating short-lasting phenotypic variability from a single gene. In order to systematically assess the frequency and origin of stop codon readthrough events, we designed a library of reporters. We introduced premature stop codons into mScarlet, which enabled high-throughput quantification of protein synthesis termination errors in E.

[Factors Affecting the Stability of the Trimer of 2'-Deoxyuridine 5'-Triphosphate Nucleotide Hydrolase from Escherichia coli].

2'-Deoxyuridine 5'-triphosphate nucleotide hydrolase (Dut) hydrolyzes dUTP to dUMP and pyrophosphate to prevent erroneous incorporation of dUMP from the dUTP metabolic pool into DNA. Dut is considered as a promising pharmacological target for antimetabolite therapy. Enzymatically active Dut is a trimer that binds the substrate at the interface between the subunits.

A model of the optimal selection of crypto assets.

We propose a modelling framework for the optimal selection of crypto assets. We assume that crypto assets can be described according to two features: (technological) and (governance). We simulate optimal selection decisions of investors, being driven by (i) their attitudes towards assets' features, (ii) information about the adoption trends, and (iii) expected future economic benefits of adoption.

On the formation of Dodd-Frank Act derivatives regulations.

Following the 2007-2009 financial crisis, governments around the world passed laws that marked the beginning of new period of enhanced regulation of the financial industry. These laws called for a myriad of new regulations, which in the U.S.

Tourism research from its inception to present day: Subject area, geography, and gender distributions.

This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970-2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach.