Why Sequence Blockiness Sharpens Coil–Globule Transition in Heteropolymers

Coil–globule transition in a single-chain polymer is the cornerstone of polymer physics. Although completely understood for homopolymers, it turns out to be much more sophisticated for copolymers of mere two nonionic monomers because the position and especially sharpness (cooperativity) of the conformational change in them are highly sequence-dependent. In this work, the statistical theory of coil–globule transition in neutral AB copolymers with regular sequences is developed. To describe the role of the primary structure, we go beyond the mean-field approximation and calculate the Gaussian fluctuation correction due to chemical differences (incompatibility) between A and B monomers. Local compositional fluctuations reduce the second and third virial coefficients of monomer interactions; these corrections are found in the general form, and closed-form expressions are provided for block-alternating chains with the block length m. For nonperiodic sequences, the found corrections are annealed averages. Increasing the monomer blockiness is shown to (i) make the globule denser, (ii) shift the conformational transition to higher temperatures, and, most importantly, (iii) narrow the transition region. The collapse sharpens strongly when accompanied or shortly followed by intraglobular microphase separation. The developed theory contributes to a comprehensive understanding of the sequence-tunable conformational behavior of macromolecules, including Khokhlov–Khalatur protein-like copolymers forming globules with the core–shell microstructure.

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2024-10-23
DOI
https://doi.org/10.1021/acs.macromol.4c01478
Citations
4
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Why Sequence Blockiness Sharpens Coil–Globule Transition in Heteropolymers

Artem M. Rumyantsev
4 citations
Macromolecules
Block Copolymer Self-Assembly
0.47
article

Why Sequence Blockiness Sharpens Coil–Globule Transition in Heteropolymers

Artem M. Rumyantsev
article en
4 citations

Abstract

Coil–globule transition in a single-chain polymer is the cornerstone of polymer physics. Although completely understood for homopolymers, it turns out to be much more sophisticated for copolymers of mere two nonionic monomers because the position and especially sharpness (cooperativity) of the conformational change in them are highly sequence-dependent. In this work, the statistical theory of coil–globule transition in neutral AB copolymers with regular sequences is developed. To describe the role of the primary structure, we go beyond the mean-field approximation and calculate the Gaussian fluctuation correction due to chemical differences (incompatibility) between A and B monomers. Local compositional fluctuations reduce the second and third virial coefficients of monomer interactions; these corrections are found in the general form, and closed-form expressions are provided for block-alternating chains with the block length m. For nonperiodic sequences, the found corrections are annealed averages. Increasing the monomer blockiness is shown to (i) make the globule denser, (ii) shift the conformational transition to higher temperatures, and, most importantly, (iii) narrow the transition region. The collapse sharpens strongly when accompanied or shortly followed by intraglobular microphase separation. The developed theory contributes to a comprehensive understanding of the sequence-tunable conformational behavior of macromolecules, including Khokhlov–Khalatur protein-like copolymers forming globules with the core–shell microstructure.

MacromoleculesVol. 57(21)
North Carolina State University (US)
Zero hunger
Openalex Percentile: Top 38%
Block Copolymer Self-Assembly
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.