ArticleBMC bioinformatics2015
SFMetrics: an analysis tool for scanning force microscopy images of biomolecules.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
8 citing papers in PubMed, 14 citations in OpenAlex.
- Role of BRCA2 DNA-binding and C-terminal domain in its mobility and conformation in DNA repair.eLife · 2021Article
- Conformational flexibility and oligomerization of BRCA2 regions induced by RAD51 interaction.Nucleic acids research · 2020Article
- Automated AFM analysis of DNA bending reveals initial lesion sensing strategies of DNA glycosylases.Scientific reports · 2020Article
- The bacterial condensin MukB compacts DNA by sequestering supercoils and stabilizing topologically isolated loops.The Journal of biological chemistry · 2017Article
- Architectural plasticity of human BRCA2-RAD51 complexes in DNA break repair.Nucleic acids research · 2017Article
- The Mre11-Nbs1 Interface Is Essential for Viability and Tumor Suppression.Cell reports · 2017Article
- Article
- A novel Fanconi anaemia subtype associated with a dominant-negative mutation in RAD51.Nature communications · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScanning force microscopy (SFM) allows direct, rapid and high-resolution visualization of single molecular complexes; irregular shapes and differences in sizes are immediately revealed by the scanning tip in three-dimensional images. However, high-throughput analysis of SFM data is limited by the lack of versatile software tools accessible to SFM users. Most existing SFM software tools are aimed at broad general use: from material-surface analysis to visualization of biomolecules.
resultsWe present SFMetrics as a metrology toolbox for SFM, specifically aimed at biomolecules like DNA and proteins, which features (a) semi-automatic high-throughput analysis of individual molecules; (b) ease of use working within MATLAB environment or as a stand-alone application; (c) compatibility with MultiMode (Bruker), NanoWizard (JPK instruments), Asylum (Asylum research), ASCII, and TIFF files, that can be adjusted with minor modifications to other formats.
conclusionAssembled in a single user interface, SFMetrics serves as a semi-automatic analysis tool capable of measuring several geometrical properties (length, volume and angles) from DNA and protein complexes, but is also applicable to other samples with irregular shapes.
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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.