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.
Authors
- Kirill Kulikov (ORCID: https://orcid.org/0000-0002-4610-7394)
- T. V. Koshlan (ORCID: https://orcid.org/0000-0002-0238-2909)
Institutions
- Ben-Gurion University of the Negev (IL)
- Ariel University (IL)
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
- Field-Weighted Citation Impact
- 0.00