Examining DNA Breathing with pyDNA-EPBD.
DNA breathing
DNA bubbles
DNA non-linear dynamics
EPBD
Journal
bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187
Informations de publication
Date de publication:
12 Sep 2023
12 Sep 2023
Historique:
pubmed:
25
9
2023
medline:
25
9
2023
entrez:
25
9
2023
Statut:
epublish
Résumé
The two strands of the DNA double helix locally and spontaneously separate and recombine in living cells due to the inherent thermal DNA motion.This dynamics results in transient openings in the double helix and is referred to as "DNA breathing" or "DNA bubbles." The propensity to form local transient openings is important in a wide range of biological processes, such as transcription, replication, and transcription factors binding. However, the modeling and computer simulation of these phenomena, have remained a challenge due to the complex interplay of numerous factors, such as, temperature, salt content, DNA sequence, hydrogen bonding, base stacking, and others. We present pyDNA-EPBD, a parallel software implementation of the Extended Peyrard-Bishop- Dauxois (EPBD) nonlinear DNA model that allows us to describe some features of DNA dynamics in detail. The pyDNA-EPBD generates genomic scale profiles of average base-pair openings, base flipping probability, DNA bubble probability, and calculations of the characteristically dynamic length indicating the number of base pairs statistically significantly affected by a single point mutation using the Markov Chain Monte Carlo (MCMC) algorithm.
Identifiants
pubmed: 37745370
doi: 10.1101/2023.09.09.557010
pmc: PMC10515784
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL128831
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH116281
Pays : United States
Commentaires et corrections
Type : UpdateIn
Déclaration de conflit d'intérêts
Conflict of interest/Competing interests: The authors declare no conflict of interest.