Evidence map›Paper›PMID 40690668›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

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

Shiv Rekhi, Jeetain Mittal

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Shiv RekhiArtie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843.ORCID 0009-0007-3625-903X
Jeetain MittalArtie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843.ORCID 0000-0002-9725-6402

Funding

Multiscale Computational Models to Investigate the Role of Phase Separation in BiologyR35GM153388 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI Jeetain Mittal · 2024 to 2026
$1.3M
HHS | NIH (NIH) R35GM153388NIGMS NIH HHS R35 GM153388Welch Foundation (The Welch Foundation) A-2113-202203311
6 · The paper itself

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.

Indexed as

Amino AcidsBiomolecular CondensatesIntrinsically Disordered ProteinsThermodynamicsAmino AcidsIntrinsically Disordered Proteins

Identifiers

PMID40690668
PMCPMC12318233

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.