Elucidating Thermodynamically Driven Structure-Property Relations for Zeolite Adsorption Using Neural Networks.

Understanding the origin and effect of the confinement of molecules and transition states within the micropores of a zeolite can enable targeted design of such materials for catalysis, gas storage, and membrane-based separations. Linear correlations of the thermodynamic parameters of molecular adsorption in zeolites have been proposed; however, their generalizability across diverse molecular classes and zeolite structures has not been established. Here, using molecular simulations of >3500 combinations of adsorbates and zeolites, we show that linear trends hold in many cases; however, they collapse for highly confined systems.

BREAST CANCER AND DIAGNOSTIC METHODS: UNDERSTANDING THE ROLE OF BRCA1 AND BRCA2.

Breast cancer is a disease that has a 1 in 8 lifetime risk for women, making it an international burden. Although breast cancer mostly affects women, men have a lifetime risk of around 1 in 1000. The majority of breast cancer instances continue linked to breast cancers that have acquired somatic mutations during a person's lifespan.

Amino Acid Transfer Free Energies Reveal Thermodynamic Driving Forces in Biomolecular Condensate Formation.

The self-assembly of intrinsically disordered proteins into biomolecular condensates shows a dependence on the primary sequence of the protein, leading to sequence-dependent phase separation. Methods to investigate this sequence-dependent phase separation rely on effective residue-level interaction potentials that quantify the propensity for the residues to remain in the dilute phase versus the dense phase. The most direct measure of these effective potentials are the distribution coefficients of the different amino acids between the two phases, but due to the lack of availability of these coefficients, proxies, most notably hydropathy, have been used.