Crystallographers have an array of search-model options for structure solution by molecular replacement (MR). The well established options of homologous experimental structures and regular secondary-structure elements or motifs are increasingly supplemented by computational modelling. Such modelling may be carried out locally or may use pre-calculated predictions retrieved from databases such as the EBI AlphaFold database. MrParse is a new pipeline to help to streamline the decision process in MR by consolidating bioinformatic predictions in one place. When reflection data are provided, MrParse can rank any experimental homologues found using eLLG, which indicates the likelihood that a given search model will work in MR. Inbuilt displays of predicted secondary structure, coiled-coil and transmembrane regions further inform the choice of MR protocol. MrParse can also identify and rank homologues in the EBI AlphaFold database, a function that will also interest other structural biologists and bioinformaticians.
ABSTRACT
This paper examines the determinants of financial performance as perceived by Togolese female managers operating in the informal sector. The analysis is conducted using the partial least squares methodology based on data collected from 208 female-managed enterprises throughout Togo. The results indicate that business environment constraints, stereotypes toward females’ managerial abilities, female entrepreneur’s risk appetite, and being part of a network are associated positively and significantly with perceived financial performance, while difficult access to finance and cultural factors influence it negatively and significantly. Furthermore, the age of the enterprise is a significant determinant of the perceived financial performance. The positive effect of the business environment constraints is contrary to our expectations. This may be explained by the number of enterprises operating informally.
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