Study of the mechanism of step-by-step interaction of viral proteins during replication and transcription

This study investigates the thermodynamic behavior of molecular self-assembly along biochemical pathways leading to the formation of higher-order complexes. We specifically examine how thermodynamic parameters evolve - such as the dissociation constant [Formula: see text], the entropic contribution [Formula: see text], and the stability parameter of the interaction matrix [Formula: see text] - as molecular complexity increases from monomers to dimers, trimers, and tetramers. A central hypothesis is that stepwise thermodynamic modeling allows prediction of assembly pathways, identification of dead ends points, and the co-directional changes of thermodynamic variables during complex formation which reflect a preference for main biocomplex formation direction. We also introduce a practical rule to classify dead-end intermediates: a pathway step is considered a dead-end if the minimum [Formula: see text] occurs at a non-final intermediate or if [Formula: see text] falls below zero, indicating an entropic barrier. This criterion provides a reproducible way to flag non-viable assembly routes. We apply this analysis to several biologically relevant molecular systems, including the complex of LGP2 bound to an 8-base pair double-stranded RNA molecule, the dimer of VP35 protein interacting with double-stranded RNA and hexamer formations.

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Publication Details

Journal
Journal of Bioinformatics and Computational Biology
Published
2025-10-17
DOI
https://doi.org/10.1142/s0219720025500180
Primary Topic
Bacteriophages and microbial interactions
Type
article
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article

Study of the mechanism of step-by-step interaction of viral proteins during replication and transcription

Kirill Kulikov, T. V. Koshlan
Journal of Bioinformatics and Computational Biology
Bacteriophages and microbial interactions
article

Study of the mechanism of step-by-step interaction of viral proteins during replication and transcription

Kirill Kulikov, T. V. Koshlan
article en

Abstract

This study investigates the thermodynamic behavior of molecular self-assembly along biochemical pathways leading to the formation of higher-order complexes. We specifically examine how thermodynamic parameters evolve - such as the dissociation constant [Formula: see text], the entropic contribution [Formula: see text], and the stability parameter of the interaction matrix [Formula: see text] - as molecular complexity increases from monomers to dimers, trimers, and tetramers. A central hypothesis is that stepwise thermodynamic modeling allows prediction of assembly pathways, identification of dead ends points, and the co-directional changes of thermodynamic variables during complex formation which reflect a preference for main biocomplex formation direction. We also introduce a practical rule to classify dead-end intermediates: a pathway step is considered a dead-end if the minimum [Formula: see text] occurs at a non-final intermediate or if [Formula: see text] falls below zero, indicating an entropic barrier. This criterion provides a reproducible way to flag non-viable assembly routes. We apply this analysis to several biologically relevant molecular systems, including the complex of LGP2 bound to an 8-base pair double-stranded RNA molecule, the dimer of VP35 protein interacting with double-stranded RNA and hexamer formations.

Journal of Bioinformatics and Computational BiologyVol. 23(06)
Ben-Gurion University of the Negev (IL), Ariel University (IL)
Openalex Percentile: Top 72%
Bacteriophages and microbial interactions
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Study of the mechanism of step-by-step interaction of viral proteins during replication and transcription — Kirill Kulikov, T. V. Koshlan · Journal of Bioinformatics and Computational Biology (2025) | TGRS Research Map | TGRS