Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation.

Objective: The paper introduces a framework for the evaluation of the encoding of factual scientific knowledge, designed to streamline the manual evaluation process typically conducted by domain experts. Inferring over and extracting information from Large Language Models (LLMs) trained on a large corpus of scientific literature can potentially define a step change in biomedical discovery, reducing the barriers for accessing and integrating existing medical evidence. This work explores the potential of LLMs for dialoguing with biomedical background knowledge, using the context of antibiotic discovery.

Polymers of functionalized diaminopropionic acid are efficient mediators of active exogenous enzyme delivery into cells.

Delivery of active protein especially enzyme is one of the major therapeutic challenge. Replacing or substituted invalid/improper acting protein offer fast and effective treatment of disease. Herein, we describe the synthesis and properties of biotinylated peptidomimetics consisting of oxoacid-modified 2,3, L-diaminopropionic acid residues with guanidine groups on its side chains.

ADAM10 as a major activator of reactive oxygen species production and klotho shedding in podocytes under diabetic conditions.

Early stages of diabetes are characterized by elevations of insulin and glucose concentrations. Both factors stimulate reactive oxygen species (ROS) production, leading to impairments in podocyte function and disruption of the glomerular filtration barrier. Podocytes were recently shown to be an important source of αKlotho (αKL) expression.