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# R PACKAGE: veriNA3d

VeriNA3d is an R package for the analysis of Nucleic Acid structural data. The software was developed on top of bio3d (Grant et al, 2006) with a higher level of abstraction. In addition of single-structure analyses, veriNA3d also implements pipelines to handle whole datasets of mmCIF/PDB structures. As far as we know, no similar software has been previously distributed, thus it aims to fill a gap in the data mining pipelines of PDB structural data analyses.

## Installation
---------------

Instructions for Unix systems

1- Make sure you have all the dependencies already installed in R. If not the case, open R and run:
&nbsp;

    install.packages(c("bio3d", "circlize", "jsonlite", "plot3D", "MASS", "RColorBrewer", "RANN"))

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2- Download veriNA3d from GitLab. The zip file contains two equivalent versions of the package:
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`veriNA3d_R-3.5.tar.gz`
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`veriNA3d_R-3.4.tar.gz`
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The whole package has been developed and tested in R-3.5, which makes it the recommended option. Furthermore, using R-3.5 speeds up the cifParser function, which has a dramatic effect when working with large mmCIF files. The package has been also made available for R-3.4 since some unix users are experiencing problems when installing R-3.5.
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3- Unzip the file and copy-paste the desired version of the package in your working directory.
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4- Open R and run:
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&nbsp;

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    install.packages("veriNA3d_R-3.5.tar.gz", repos = NULL, type="source")

5- If desired, remove the unnecessary .tar.gz files and the .zip file.

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6- To start using it, just load the package!

    library(veriNA3d)

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## Documentation
----------------

### Dataset level

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`getLeontisList`: Get list of representative/non-redundant RNA structures organized in Equivalence Classes (source: Leontis & Zirbel, 2012).
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`getAltRepres`: Apply filters (e.g. just protein-RNA structures) to select other representants from the members of each class.
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`represAsDataFrame`: From the output of getLeontisList or getAltRepres, generate a data.frame in which each row corresponds to a RNA chain, rather than an Equivalence Class.
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`pipeNucData`: From a list of RNA structures/chains computes and returns structural data at the level of the nucleotide.
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`pipeProtNucData`: From a list of protein-RNA structures computes and returns the interaction sites distances and atoms.
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`applyToPDB`: Applies a desired function to a list of PDB IDs.
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`queryEntryList`: Returns the whole list of PDB IDs in the database.
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`queryObsoleteList`: Returns the list of Obsolete PDB IDs in the database.
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`cleanByPucker`: From the output of pipeNucData subsets a desired subset of nucleotides in a given puckering conformation.
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&nbsp;

&nbsp;


### Single-structure level

#### **Functions to query PDB data using the PDBe (EMBL-EBI) REST API or a mirror API from the MMB Lab** (All of them take a PDB ID as input)

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`queryAuthors`: List of authors.
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`queryReldate`: Release date.
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`queryDepdate`: Deposition date.
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`queryRevdate`: Revision date.
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`queryDescription`: Author description.
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`queryCompType`: Compound type (e.g. Nuc or Prot-nuc).
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`queryChains`: Chain information.
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`queryEntities`: Entitity information.
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`countEntities`: In a given pdbID it counts the total number of each different kind of entity (RNA, DNA, Protein ...).
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`queryFormats`: File formats for the given ID.
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`queryHeader`: PDB Header.
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`queryHetAtms`: HETATM entities in structure (includes modified residues, ions and ligands).
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`hasHetAtm`: Checks wether a a given structure contains a particular HETATM entity. It makes use of queryHetAtms.
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`queryModres`: Modified residues.
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`queryLigands`: Ligands in structure.
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`queryOrgLigands`: Ligands in structure (substracting ions).
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`queryResol`: Resolution (if applicable).
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`queryTechnique`: Experimental Technique.
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`queryStatus`: Released/Obsolete and related status information.
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`queryNDBId`: Cross-reference NDB ID.
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`queryAPI`: Subfunction of all the previous, which can be used to make alternative queries.
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&nbsp;

#### **Classify PDB structures** (PDB ID as input)

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`classifyRNA`: Categorizes a structure in different RNA groups.
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`classifyDNA`: Categorizes a structure in different DNA groups.
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&nbsp;

#### **Input mmCIF data**

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`cifDownload`: Downloads structure from Protein Data Bank.

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`cifParser`: Reads the 14th common sections of all mmCIF files in the PDB and generates a CIF S4 object.

`cifAsPDB`: Wrapper of cifParser that generates a pdb object (bio3d compatible S3 object).
&nbsp;

#### **CIF accessors** (Find descriptions in mmCIF dicctionary: https://mmcif.wwpdb.org/)

`cifAtom_site`: Access the coordinates of a CIF object (read by cifParser). The resulting object is not compatible with bio3d functions, see cifAsPDB for that.

`cifAtom_sites`

`cifAtom_type`

`cifAudit_author`

`cifAudit_conform`

`cifChem_comp`

`cifDatabase_2`

`cifEntity`

`cifEntry`

`cifExptl`

`cifPdbx_database_status`

`cifStruct`

`cifStruct_asym`

`cifStruct_keywords`
&nbsp;

#### **Structure analysis**

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`selectModel`: Selects the model of interest.
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`findBindingSite`: Same as pipeProtNucData for a single structure.
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`measureEntityDist`: Measures distances between given entities.
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`measureElenoDist`: Measures distances between given atoms.
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`trimSphere`: Trim a pdb object and a surrounding sphere of atoms.
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`trimByID`: Same as trimSphere using the IDs and output of pipeNucData.
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`checkNuc`: Checks the integrity of all the nucleotides in a given Nucleic Acid structure.
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`measureNuc`: Measures a defult/desired set of distances, angles and torsional angles for a given Nucleic Acid structure.
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`rVector`: Computes the rVectors between all nucleobases of a structure (source: Bottaro et al, 2014).
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`eRMSD`: Compares structures with the same number of residues using the rVectors (source: Bottaro et al, 2014).
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`dssr`: Wrapper of DSSR software (source: Lu et al, 2015), if installed.
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### Exploratory analysis

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`findHDR`: Finds High Density Regions in a 2D scatter plot
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`plot2D`: Scatter plot of angles
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`plot3Ddens`: 3D view of the density of 2D data.
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`plotCategorical`
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`plotCircularDistribution`
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## Developers
-------------

Diego Gallego

Leonardo Darré (Former Developer)
&nbsp;

&nbsp;

*Molecular Modeling and Bioinformatics Group.*


## License
----------

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GPL-3