Robust proteome profiling of cysteine-reactive fragments using label-free chemoproteomics.

Identifying pharmacological probes for human proteins represents a key opportunity to accelerate the discovery of new therapeutics. High-content screening approaches to expand the ligandable proteome offer the potential to expedite the discovery of novel chemical probes to study protein function. Screening libraries of reactive fragments by chemoproteomics offers a compelling approach to ligand discovery, however, optimising sample throughput, proteomic depth, and data reproducibility remains a key challenge.

Association of Body Mass Index between Adolescents and their Parents in Mumbai and Kolkata: A Population-based Study.

Introduction: Adolescent overweight and obesity as measured by body mass index (BMI) seem to be increasing at an alarming rate in urban populations. Parental BMI plays an important role in their adolescent's BMI. Overweight and obesity coexisting with undernutrition in adolescents is an important public health challenge in low- and middle-income countries (LMICs).

The Sex Dependent and Independent Effects of Dietary Whey Proteins Are Passed from the Mother to the Offspring.

Scope: The study assesses the metabolic impact of dietary whey proteins across generations.

Method And Results: Virgin females are fed 20% energy whey proteins with 70% energy carbohydrates, which reduces body weight gain and visceral adipose compared to controls fed dietary casein. In contrast, the males are unresponsive.

Person explanatory multidimensional item response theory with the instrument package in R.

We present the new R package instrument to perform Bayesian estimation of person explanatory multidimensional item response theory. The package implements an exploratory multidimensional item response theory model and a higher-order multidimensional item response theory model, a type of confirmatory multidimensional item response theory. Explanation of person parameters is accomplished by fixed and random effect linear regression models.

A Fragment-Based Competitive F LB-NMR Platform For Hotspot-Directed Ligand Profiling.

Ligand binding hotspots are regions of protein surfaces that form particularly favourable interactions with small molecule pharmacophores. Targeting interactions with these hotspots maximises the efficiency of ligand binding. Existing methods are capable of identifying hotspots but often lack assays to quantify ligand binding and direct elaboration at these sites.