ArticleThe Journal of chemical physics2013
Molecular recognition of DNA by ligands: roughness and complexity of the free energy profile.
Article in The Journal of chemical physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 25 citations in OpenAlex.
- Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations.Journal of chemical theory and computation · 2022Article
- From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output.Frontiers in pharmacology · 2022Review
- Unsupervised Learning Methods for Molecular Simulation Data.Chemical reviews · 2021Article
- Predicting three-dimensional genome organization with chromatin states.PLoS computational biology · 2019Article
- DNA exit ramps are revealed in the binding landscapes obtained from simulations in helical coordinates.PLoS computational biology · 2015Article
- Multiscale approach to the determination of the photoactive yellow protein signaling state ensemble.PLoS computational biology · 2014Article
Corrections and comments
- Erratum issuedVargiu, Attlio Vittorio [corrected to Vargiu, Attilio Vittorio]
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Understanding the molecular mechanism by which probes and chemotherapeutic agents bind to nucleic acids is a fundamental issue in modern drug design. From a computational perspective, valuable insights are gained by the estimation of free energy landscapes as a function of some collective variables (CVs), which are associated with the molecular recognition event. Unfortunately the choice of CVs is highly non-trivial because of DNA's high flexibility and the presence of multiple association-dissociation events at different locations and/or sliding within the grooves. Here we have applied a modified version of Locally-Scaled Diffusion Map (LSDMap), a nonlinear dimensionality reduction technique for decoupling multiple-timescale dynamics in macromolecular systems, to a metadynamics-based free energy landscape calculated using a set of intuitive CVs. We investigated the binding of the organic drug anthramycin to a DNA 14-mer duplex. By performing an extensive set of metadynamics simulations, we observed sliding of anthramycin along the full-length DNA minor groove, as well as several detachments from multiple sites, including the one identified by X-ray crystallography. As in the case of equilibrium processes, the LSDMap analysis is able to extract the most relevant collective motions, which are associated with the slow processes within the system, i.e., ligand diffusion along the minor groove and dissociation from it. Thus, LSDMap in combination with metadynamics (and possibly every equivalent method) emerges as a powerful method to describe the energetics of ligand binding to DNA without resorting to intuitive ad hoc reaction coordinates.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.