Version 2.3.0 is a new minor release of the Bio3D package for structural bioinformatics.
This release, dated September 2016, provides a number of new features and enhancements including: new facilities for ensemble normal mode analysis (NMA) with all-atom elastic network model (ENM) and Gaussian network model (GNM), enhanced NMA calculations with the rotation-translation block (RTB) method, new “4-bead” coarse-grained ENM, more efficient reading of large PDB files using Rcpp, PDB annotation from the PFAM database, and more supported I/O file formats.
We have also updated online vignettes and other documentations. For a fine-grained list of changes, or to report a bug, please consult:
Version 2.3.0 will be available on CRAN shortly. For full install instructions see: http://thegrantlab.org/bio3d/tutorials/installing-bio3d
Major new/enhanced functions include:
- aanma: All-atom ENM normal mode analysis (with RTB and 4-bead ENM supported)
- aanma.pdbs: Ensemble NMA with all-atom ENM
- gnm: Gaussian network model (GNM) calculations
- gnm.pdbs: Ensemble NMA with GNM
- dccm.gnm: Dynamical cross-correlation for GNM
- pdbs2sse: Retrieve SSE from pdbs object with appropriate residue numbers for plotting
- mask.dccm: Produce a new DCCM object with selected atoms masked
- pdb.pfam: Function for PFAM annotation of PDB IDs
- pymol.pdbs: Builds a pymol session from a ‘pdbs’ object
- read.cif: Read a Protein Data Bank (mmCIF) coordinate file
- read.dssp: For reading existing DSSP output files
- read.stride: For reading existing STRIDE output files
- read.crd: Read a CHARMM CARD (CRD) or AMBER coordinate file
- read.prmtop: Read parameter and topology data from an AMBER PrmTop file
- read.pdb: Use Rcpp to (more rapidly) read and parse PDB files
- read.pdb2: Renamed old read.pdb function
- plot.matrix.loadings: For plotting loadings obtained from pca.array()
- community.aln: To align communities from two or more related networks
- atom.select: Supports ‘insert’ identifier
- vmd.cna and vmd.cnapath: Renamed view.cna and view.cnapath
- pymol.dccm, pymol.modes, pymol.nma, and pymol.pca: Renamed view.xxx functions
- plot.fasta: Improved plotting function for multiple sequence alignment
- read.mol2, write.mol2, atom.select, trim, as.pdb: Read, write and manipulate mol2 files with functions
Happy Bio3Ding!