The data reviewed here highlight the overarching role of molecular allostery in driving the diverse functions of TPR array proteins, which could form a model for other α-solenoid tandem-repeat proteins involved in translocation processes across membranes.Psychosocial risk factors, such as substance use, have been linked to poor post-transplant outcomes for solid organ transplant patients, including poor medication adherence, increased risk for rejection, and even graft failure. Despite universal consensus that substance use is an increasing problem among youth, many pediatric transplant centers do not have policies in place to address substance use and no universal guidelines exist regarding assessment during the pre-transplant evaluation in this population. An online survey was administered via REDCap™ and directed toward medical leaders (ie, medical and surgical directors) of national heart, kidney, and liver transplant centers. Questions examined the following perspectives on the need for a universal transplant center policy on pediatric substance use, abuse, and dependence; timing and frequency of evaluation for substance use; specific substances which would elicit respondents' concerns; and ethical concerns surrounding substance use. Data were analyzed using descriptive statistics. Data were collected from 52 respondents from 38 transplant centers, with the majority (n = 40; 77%) reporting no substance use policy in place for pediatric transplant patients. However, many endorsed concerns if a pediatric patient was found to be using specific substances. Our findings further highlight the need for a universal substance use policy across pediatric solid organ transplant centers. The results from the distributed survey will help to provide guidelines and best practices when establishing a universal policy for substance use.Anthropogenic disruptions to animal sensory ecology are as old as our species. But what about the effect on human sensory ecology? Human sensory dysfunction is increasing globally at great economic and health costs (mental, physical, and social). Contemporary sensory problems are directly tied to human behavioral changes and activity as well as anthropogenic pollution. The evolutionary sensory ecology and anthropogenic disruptions to three human senses (vision, audition, olfaction) are examined along with the economic and health costs of functionally reduced senses and demographic risk factors contributing to impairment. The primary goals of the paper are (a) to sew an evolutionary and ecological thread through clinical narratives on sensory dysfunction that highlights the impact of the built environment on the senses, and (b) to highlight structural, demographic, and environmental injustices that create sensory inequities in risk and that promote health disparities.Cysteine (Cys) is the most reactive amino acid participating in a wide range of biological functions. In-silico predictions complement the experiments to meet the need of functional characterization.  https://www.selleckchem.com/products/sbi-115.html  Multiple Cys function prediction algorithm is scarce, in contrast to specific function prediction algorithms. Here we present a deep neural network-based multiple Cys function prediction, available on web-server (DeepCys) (https//deepcys.herokuapp.com/). DeepCys model was trained and tested on two independent datasets curated from protein crystal structures. This prediction method requires three inputs, namely, PDB identifier (ID), chain ID and residue ID for a given Cys and outputs the probabilities of four cysteine functions, namely, disulphide, metal-binding, thioether and sulphenylation and predicts the most probable Cys function. The algorithm exploits the local and global protein properties, like, sequence and secondary structure motifs, buried fractions, microenvironments and protein/enzyme class. DeepCys outperformed most of the multiple and specific Cys function algorithms. This method can predict maximum number of cysteine functions. Moreover, for the first time, explicitly predicts thioether function. This tool was used to elucidate the cysteine functions on domains of unknown functions belonging to cytochrome C oxidase subunit-II like transmembrane domains. Apart from the web-server, a standalone program is also available on GitHub (https//github.com/vam-sin/deepcys).
  The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) is an international initiative that offers standardized and validated tools to guide the appraisal of patient-reported outcome measures in healthcare.
 
  To explore the use of a new set of tools from the COSMIN to appraise studies on one outcome measure available to speech and language therapists (SLTs).
 
  We used the COSMIN tools to appraise seven studies and a user manual that reported the measurement properties of the Focus on the Outcomes of Children Under Six (FOCUS), a validated measure of pre-schoolers' communicative participation that is used in various contexts around the world.
 
  Using COSMIN guidelines, the FOCUS was categorized as a 'category A' tool because there was a sufficient level of evidence to support its content validity and internal consistency. According to the COSMIN guidelines, this means that the FOCUS can be recommended for use. The quality of evidence supporting measurement properties of thetcome measure instruments were appraised. What this paper adds to existing knowledge This paper used the FOCUS, a measure of pre-schoolers' communicative participation outcomes in speech and language therapy, as a case example to illustrate the applications of the COSMIN tools. In doing so, the strengths and limitations of the current COSMIN tools in appraising the quality of outcome measure instruments are emphasized. What are the potential or actual clinical implications of this work? The COSMIN tools offer a step-by-step, standardized approach to appraise various measurement properties in outcome instruments. Due to existing limitations of the COSMIN tools, appraisal should provide clear and specific recommendations so users of outcome measures (e.g., SLTs, researchers) can identify the appropriate uses of each instrument.