Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials.

ABSTRACT: Membrane incompatibility poses significant health risks, including severe complications and potential fatality. Surface modification of membranes has emerged as a pivotal technology in the membrane industry, aiming to improve the hemocompatibility and performance of dialysis membranes by mitigating undesired membrane-protein interactions, which can lead to fouling and subsequent protein adsorption. Affinity energy, defined as the strength of interaction between membranes and human serum proteins, plays a crucial role in assessing membrane-protein interactions. These interactions may trigger adverse reactions, potentially harmful to patients. Researchers often rely on trial-and-error approaches to enhance membrane hemocompatibility by reducing these interactions. This study focuses on devel

SUBMITTER: Nazari S 

PROVIDER: S-EPMC11775177 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature