SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures.

Background: The relationship between the sequence of a protein, its structure, and the resulting connection between its structure and function, is a foundational principle in biological science. Only recently has the computational prediction of protein structure based only on protein sequence been addressed effectively by AlphaFold, a neural network approach that can predict the majority of protein structures with X-ray crystallographic accuracy. A question that is now of acute relevance is the "inverse protein folding problem": predicting the sequence of a protein that folds into a specified structure.

Inequalities in Health: Methodological Approaches to Spatial Differentiation.

The prevalence of inequalities in the general health position of communities can be assessed by using selected determinants. The aims of this article are three-fold: (1) to apply a comprehensive approach to the assessment of inequalities in the general health position of communities, (2) to determine the spatial differentiation of determinants, and (3) to present selected assessment methods and their impact on the results. To present a quantitative assessment of these inequalities in health status in communities, a composite indicator (Health Index) was developed.

Health education interventions to promote health literacy in adults with selected non-communicable diseases living in low-to-middle income countries: A systematic review and meta-analysis.

Rationale, Aims And Objectives: Health illiteracy is an important contributor to the burden of non-communicable diseases (NCDs); in particular in settings where health illiteracy is part of a perpetuating system of risk factors. Interventions that promote health literacy may provide an important tool in the primary and secondary prevention of NCDs. The objective of this systematic review was to evaluate the effectiveness of health literacy interventions on health literacy in the management of patients with selected NCDs living in low-to-middle income countries (LMIC).