Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Simulation and analysis of in vitro DNA evolution.

Physical review letters - 23 Jan 2004

Kloster Morten, Tang Chao

Abstract excerpt

We study theoretically the in vitro evolution of a DNA sequence by binding to a transcription factor. Using a simple model of protein-DNA binding and available binding constants for the Mnt protein, we perform large-scale, realistic simulations of evolution starting from a single DNA sequence. Varying the evolution parameters reveals three different regimes characterized by distinct evolutionary behaviors, and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to DNA
Share to Evolution, Molecular
Share to Genes, Suppressor

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Kinetics

Share to Models, Genetic

Share to Mutation

Share to Nuclear Proteins

Share to Protein Binding

Source

Identifiers

PMID: 14753913
DOI: 10.1103/PhysRevLett.92.038101

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 10 closest

Simulation and analysis of in vitro DNA evolution.PMID 14753913Read ↗

Analysis of evolution through competitive selection.Semantic proximity Read ↗

On the selection and evolution of regulatory DNA motifs.Semantic proximity Read ↗

Long-term evolution of regulatory DNA sequences. Part 1: simulations on global, biophysically-realistic genotype-phenotype maps.Semantic proximity Read ↗

A hierarchical approach to protein molecular evolutionSemantic proximity Read ↗

Inferring Fitness Effects from Time-Resolved Sequence Data with a Delay-Deterministic Model.Semantic proximity Read ↗

Determinants of simulated RNA evolution.Semantic proximity Read ↗

Evolution of off-lattice model proteins under ligand binding constraints.Semantic proximity Read ↗

Roles of mutation and recombination in the evolution of protein thermodynamics.Semantic proximity Read ↗

Mutation bias interacts with composition bias to influence adaptive evolution.Semantic proximity Read ↗

Accurate estimations of evolutionary times in the context of strong CpG hypermutability.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.