The field of protein design has made remarkable progress over the past decade. Historically, the low reliability of purely structure-based design methods limited their application, but recent strategies that combine structure-based and sequence-based calculations, as well as machine learning tools, have dramatically improved protein engineering and design. In this Review, we discuss how these methods have enabled the design of increasingly complex structures and therapeutically relevant activities. Additionally, protein optimization methods have improved the stability and activity of complex eukaryotic proteins. Thanks to their increased reliability, computational design methods have been applied to improve therapeutics and enzymes for green chemistry and have generated vaccine antigens, antivirals and drug-delivery nano-vehicles. Moreover, the high success of design methods reflects an increased understanding of basic rules that govern the relationships among protein sequence, structure and function. However, de novo design is still limited mostly to α-helix bundles, restricting its potential to generate sophisticated enzymes and diverse protein and small-molecule binders. Designing complex protein structures is a challenging but necessary next step if we are to realize our objective of generating new-to-nature activities.
To determine the clinical utility of teleneuropsychology (teleNP) services in screening for cognitive concerns in a population of children and adolescents presenting with long COVID. This cross-sectional study evaluated 76 pediatric patients (64% female, = 13.48, = 2.
Federally Qualified Health Centers (FQHCs) seek to improve health equity for marginalized and historically disenfranchised communities. However, FQHC policies are not necessarily designed to be explicitly anti-racist. This can result in institutional racism shaping and influencing policy.
Many trials are designed to collect outcomes at or around pre-specified times after randomization. If there is variability in the times when participants are actually assessed, this can pose a challenge to learning the effect of treatment, since not all participants have outcome assessments at the times of interest. Furthermore, observed outcome values may not be representative of all participants' outcomes at a given time.
As demanding as dancing en pointe is, no universal standard exists to determine when a ballet dancer is ready to advance to this next level. The goal of this study was to provide preliminarily tested and reliable guidelines for a screening tool that can be used to determine (1) if a dancer is ready for pointe, (2) reasons why a dancer may not be ready, and (3) areas for improvement to guide training and preparation. Seventeen dancers aged 9 to 17 years with a minimum 4 years of ballet and who were either possibly ready for pointe or had been in pointe class less than 3 months participated in this study.
Background: Thrips are among the most damaging pests to cowpeas in Hainan, China. Conventional pesticide application methods often fail to achieve satisfactory control due to the small size and concealed habitats of thrips. This study aimed to enhance the efficacy of pesticides by improving their application techniques.
