Contact statistics highlight distinct organizing principles of proteins and RNA
Lei Liu, Changbong Hyeon

TL;DR
This study reveals distinct contact probability scaling laws in proteins and RNA, showing that large RNA adopts crumpled, modular structures, while proteins are more mixed, highlighting fundamental differences in their native chain organizations.
Contribution
The paper uncovers different contact probability scaling exponents for proteins and RNA, linking these to their distinct folding and organizational principles.
Findings
Large RNA exhibits a contact probability decay with exponent ~1.11.
Proteins show a contact probability decay with exponent ~1.65.
Large RNA adopts crumpled, modular structures, unlike proteins.
Abstract
Although both RNA and proteins have densely packed native structures, chain organizations of these two biopolymers are fundamentally different. Motivated by the recent discoveries in chromatin folding that interphase chromosomes have territorial organization with signatures pointing to metastability, we analyzed the biomolecular structures deposited in the Protein Data Bank and found that the intrachain contact probabilities, as a function of the arc length , decay in power-law over the intermediate range of , . We found that the contact probability scaling exponent is for large RNA (), for small sized RNA (), and for proteins. Given that Gaussian statistics is expected for a fully equilibrated chain in polymer melts, the deviation of value from…
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