DNA Structure


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DNA Structure

DNA molecules exist in many different conformations, including A-DNA, B-DNA, or Z-DNA forms, which depend on the nucleotide sequence, hydratation level, presence of metal ions, etc. Structure analysis software tools help predict and model nucleic acid structure and conformation variations according to specific parameters.


Shape prediction

do_x3dna

Analyzes the structural fluctuations of DNA or RNA during molecular dynamics simulations. do_x3dna extends the capability of the 3DNA package to GROMACS MD trajectories and includes new methods to calculate the global-helical axis of DNA and bending fluctuations during simulations. The package also includes a Python module dnaMD to perform and visualize statistical analyses of complex data obtained from the trajectories.

Official Website

Documentation

Github

Publications

Institution(s)

Department of Theoretical and Computational Biophysics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany

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3DNA

A comprehensive software package for the analysis, reconstruction and visualization of three-dimensional nucleic acid structures. 3DNA can be applied to parallel and antiparallel double helices, single-stranded forms, multi-stranded helices and complex tertiary folding motifs found in both DNA and RNA structures. The rebuilding module of 3DNA can be used to generate sequence-dependent atomic structures of nucleic acids, with or without the sugar–phosphate backbone. These structures provide a useful starting point for molecular mechanics and molecular dynamics calculations.

Official Website

Documentation

Forum

Publications:

Institutions(s): Department of Chemistry and Chemical Biology, Wright-Rieman Laboratories, The State University of New Jersey, Piscataway, NJ, USA


DINAMelt

Provides a platform for allowing the simulation single-stranded nucleic acids melt in a solution. DINAMelt is a web application that calculates features such as ultraviolet (UV) absorbance, or concentrations of various dimer as a function of temperature. The interface allows users to set the temperature range, the nucleic acid type; the initial concentration as well as the salt conditions.

Official Website

Publications:

Institutions(s): Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA; Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA


DNAshape

A method and web server for predicting DNA structural features in a high-throughput (HT) manner for massive sequence data. DNAshape provides the framework for the integration of DNA sequence and shape analyses in genome-wide studies. The HT methodology uses a sliding-window approach to mine DNA structural information obtained from Monte Carlo simulations. It requires only nucleotide sequence as input and instantly predicts multiple structural features of DNA (minor groove width, roll, propeller twist and helix twist).

Official Website

Documentation

Publications:

Institutions(s): Molecular and Computational Biology Program, Department of Biological Sciences; Department of Physics and Astronomy; Department of Chemistry; Department of Computer Science; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA

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R-loop forming sequence prediction

QmRLFS-finder

Predicts R-loop Forming Sequences (RLFSs) in nucleic acid sequences based on experimentally supported structural models of RLFSs. This tool identifies and visualizes RLFS coordinates from any natural or artificial DNA or RNA input sequences and creates standards-compliant output files for further annotation and analysis. QmRLFS-finder demonstrates highly accurate predictions of the detected RLFSs, proposing new perspective to further discoveries in R-loop biology, biotechnology and molecular therapy.

Official Website

Publications:

Institutions(s): Department of Genome and Gene Expression Data Analysis, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore

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DNA Structure Database

R-loopDB | R-loop forming sequence databases

A collection of computationally predicted R-loop forming sequences (RLFSs). R-loopDB is a comprehensive database of RLFSs in eight organisms, i.e. human, chimp, mouse, rat, chicken, frog, fruit fly and yeast, that offers benefits for the researchers who study R-loop related human diseases using these species. The combination of several other data resources, such as RLFS strand, GC skew value and experimental R-loop detection data, could provide more information for advanced analyses and predictions. R-loopDB allows searching of RLFSs in the genes and in the 2 kb upstream and downstream flanking sequences of any gene. R-loopDB exploits the Ensembl gene annotation system, providing users with chromosome coordinates, sequences, gene and genomic data of the 1,565,795 RLFSs distributed in 121,056 genic or proximal gene regions of the covered organisms.

Official Website

Documentation

Publications:

Institutions(s): Department of Genome and Gene Expression Data Analysis, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore

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Small-angle Scattering

AXES

Fits small angle X-ray scattering (SAXS) data to macromolecular structures and ensembles of structures. AXES is a web application using a Powell minimization of the penalty function against the adjustable parameters for both experimental and predicted data. The software allows the prediction of solution X-ray scattering data for a macromolecule in explicit aqueous solvent and calculation of the best fit between the experimental scattering data and a structural model.

Official Website

Documentation

Publications:

Institution(s): Laboratory of Chemical Physics, National Institute of Diabetes and DigestiVe and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA


FoXS

A rapid method for computing a SAXS profile of a given structure and for matching of the computed and experimental profiles. FoXS also provides an optimization of the hydration layer density as well as the excluded volume of the protein, to maximize the fit of the computed profile to the experimental profile. Additional optimization is achieved by adjusting the ‘background’ of the experimental profile for wider scattering angles.

Official Website

Publications:

Institutions(s): Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences (QB3), University of California at San Francisco, CA, USA


AquaSAXS

Allows structural biologists to compare their SAXS data to the theoretical one for a model given as a PDB or PQR file. AquaSAXS takes advantage of recently developed methods, such as AquaSol, that give the equilibrium solvent density map around macromolecules, to compute an accurate SAXS/WAXS profile of a given structure and to compare it to the experimental one. AquaSAXS provides a way for the user to check and/or tune the atomic types and the corresponding parameters that are used for computing the solute and the solvent-excluded-volume contribution to the SAXS profile.

Official Website

Publications:

Institutions(s): Institut Pasteur, Unit of Structural Dynamics of Macromolecules, CNRS, URA 2185, Paris, France

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