ArticleJournal of computer-aided molecular design2020
Sequence specificity in DNA-drug intercalation: MD simulation and density functional theory approaches.
Article in Journal of computer-aided molecular design, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Selective targeting of genes regulated by zinc finger proteins in endometriosis and endometrioid adenocarcinoma by zinc niflumato complex with neocuproine.Scientific reports · 2025Article
- In silico development of HASDI-G2 as a novel agent for selective recognition of the DNA sequence.Scientific reports · 2025Article
- In silico study of HASDI (high-affinity selective DNA intercalator) as a new agent capable of highly selective recognition of the DNA sequence.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA is an essential target for the treatment of various pathologies, especially cancer. Hence targeting DNA double helix for alteration of its function has been attempted by several ways. Drug-DNA intercalation, one such biophysical process, could not be studied extensively as this requires significant deformation of the receptor DNA. Here we report thorough theoretical investigation of intercalation process in daunomycin-DNA interaction, by performing molecular dynamics simulations of the drug-DNA complexes for various DNA sequences, followed by Free-energy analysis and density functional theory (DFT) based studies to understand the binding preference. The classical energy based analyses indicate that the drug prefers to bind to TC/GA sequence over others. The DFT based energies of supra-molecular complexes are always contaminated with basis set superposition error (BSSE), which can be corrected by counterpoise method. This method is quite effective for systems containing two molecular fragments but is not appropriate for studying interaction between two base pair fragments and the drug intercalated between them. We have adopted an extension of the counterpoise method for BSSE corrected interaction energy calculation. These interaction energies, along with the energy penalty due to un-stacking of the base pairs, also indicate TC/GA sequence is the most preferred sequence for binding.
Indexed as
Identifiers
31820194What OpenQuestion holds
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.