Generalized Poland-Scheraga model for DNA hybridization
Thomas Garel, Henri Orland
Abstract
The Poland-Scheraga (PS) model for the helix-coil transition of DNA considers the statistical mechanics of the binding (or hybridization) of two complementary strands of DNA of equal length, with the restriction that only bases with the same index along the strands are allowed to bind. In this paper, we extend this model by relaxing these constraints: We propose a generalization of the PS model which allows for the binding of two strands of unequal lengths N1 and N2 with unrelated sequences. We study in particular (i) the effect of mismatches on the hybridization of complementary strands (ii) the hybridization of non complementary strands (as resulting from point mutations) of unequal lengths N1 and N2. The use of a Fixman-Freire scheme scales down the computational complexity of our algorithm from O(N12N22) to O(N1N2).The simulation of complementary strands of a few kbps yields results almost identical to the PS model. For short strands of equal or unequal lengths, the binding displays a strong sensitivity to mutations. This model may be relevant to the experimental protocol in DNA microarrays, and more generally to the molecular recognition of DNA fragments. It also provides a physical implementation of sequence alignments.
Create a lesson
Related papers
Predicting protein structures at any folding stage from sequence
Lisheng Zhang, Qingsong Li, Zinan Xie et al.
Automatic Generation of Novel Highly-Functional Molecular Sequences
Vincent R. Ragusa, Chrisoph Adami
D2ML: Models for Direct-to-Biology Small Molecule Screening
AkshatKumar Nigam, Neri Amara, Hillary Dequina et al.
Contribution of chromosome-naïve transposon-seeded network of DNA templates to intracellular pools of protein dimers of liquid-liquid phase-separated condensate-forming proteins
Gennadi Glinsky
AI-driven structural informatics reveals diverse glycosylation machinery across double-stranded DNA viruses
Lan Na
A unified coarse-grained neural network potential for the dynamics of biomolecular complexes
Antonio Mirarchi, Stephen E. Farr, Adrià Peréz et al.