ArticleBriefings in bioinformatics2021
DNA sequence symmetries from randomness: the origin of the Chargaff's second parity rule.
Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 31 citations in OpenAlex.
- On the origins and variation of nucleotide skews of archaeal genomes.Frontiers in microbiology · 2026Article
- GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life.Molecular biology and evolution · 2025Article
- Machine learning classification of archaea and bacteria identifies novel predictive genomic features.BMC genomics · 2024Article
- Compression rates of microbial genomes are associated with genome size and base composition.Genomics & informatics · 2024Article
- Statistical analysis of synonymous and stop codons in pseudo-random and real sequences as a function of GC content.Scientific reports · 2023Article
- Generalised interrelations among mutation rates drive the genomic compliance of Chargaff's second parity rule.Nucleic acids research · 2023Article
- Article
- Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI.Journal of digital imaging · 2022Article
- VOC-alarm: mutation-based prediction of SARS-CoV-2 variants of concern.Bioinformatics (Oxford, England) · 2022Article
- Article
- Human follicular mites: Ectoparasites becoming symbionts.Molecular biology and evolution · 2022Article
- SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids.Scientific data · 2022Article
- Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis.Entropy (Basel, Switzerland) · 2022Article
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most living organisms rely on double-stranded DNA (dsDNA) to store their genetic information and perpetuate themselves. This biological information has been considered as the main target of evolution. However, here we show that symmetries and patterns in the dsDNA sequence can emerge from the physical peculiarities of the dsDNA molecule itself and the maximum entropy principle alone, rather than from biological or environmental evolutionary pressure. The randomness justifies the human codon biases and context-dependent mutation patterns in human populations. Thus, the DNA 'exceptional symmetries,' emerged from the randomness, have to be taken into account when looking for the DNA encoded information. Our results suggest that the double helix energy constraints and, more generally, the physical properties of the dsDNA are the hard drivers of the overall DNA sequence architecture, whereas the selective biological processes act as soft drivers, which only under extraordinary circumstances overtake the overall entropy content of the genome.
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