Amino acid transfer free energies reveal thermodynamic driving forces in biomolecular condensate formation.

Jeetain Mittal, Shiv Rekhi

Journal: Proceedings of the National Academy of Sciences of the United States of America 2025;122(30):e2425422122

PMID: 40690668

Abstract

The self-assembly of intrinsically disordered proteins into biomolecular condensates depends on their primary sequence, leading to sequence-dependent phase separation. Computational methods to study this behavior often rely on residue-level interaction potentials that estimate the propensity of amino acids to partition between the dilute and dense phases. While distribution coefficients would provide the most direct measure of these potentials, their unavailability has led to the use of proxies, most notably, hydropathy. However, recent studies have highlighted limitations in hydropathy-based models. Here, we address this fundamental gap by calculating the transfer free energies for amino acid side chain analogs moving from the dilute phase to the dense phase of biomolecular condensates. We find that, net transfer free energies arise from a balance between favorable protein-mediated and unfavorable water-mediated interactions, with a striking asymmetry between the contributions of positive and negatively charged residues. This asymmetry originates from the stronger solvation of negatively charged species, and extends to modified amino acids. We further demonstrate that the sequence features of the condensate-forming protein modulate these transfer free energies in a context-dependent, but qualitatively similar manner. These findings help explain nontrivial experimental trends and provide a foundation for interpreting the sequence-dependent driving forces underlying condensate formation.

Address: Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843.; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843.; Department of Chemistry, Texas A&M University, College Station, TX 77843.; Interdisciplinary Graduate Program in Genetics and Genomics, Texas A&M University, College Station, TX 77843.

Link outs

Free resources

Subscription / membership required

Bant logo

© Copyright 2026, Nutrition Evidence

NED wishes to thank the following organisations for their support:

We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.