A new release of MayaChemTools is now available, these comprise a fantastic collection of Perl and Python scripts, modules, and classes to support a variety of day-to-day computational discovery needs.

The core set of command line Perl scripts available in the current release of MayaChemTools has no external dependencies and provide functionality for the following tasks:

• Manipulation and analysis of data in SD, CSV/TSV, sequence/alignments, and PDB files
• Listing information about data in SD, CSV/TSV, Sequence/Alignments, PDB, and fingerprints files
• Calculation of a key set of physicochemical properties, such as molecular weight, hydrogen bond donors and acceptors, logP, and topological polar surface area
• Generation of 2D fingerprints corresponding to atom neighborhoods, atom types, E-state indices, extended connectivity, MACCS keys, path lengths, topological atom pairs, topological atom triplets, topological atom torsions, topological pharmacophore atom pairs, and topological pharmacophore atom triplets
• Generation of 2D fingerprints with atom types corresponding to atomic invariants, DREIDING, E-state, functional class, MMFF94, SLogP, SYBYL, TPSA and UFF
• Similarity searching and calculation of similarity matrices using available 2D fingerprints
• Listing properties of elements in the periodic table, amino acids, and nucleic acids
• Exporting data from relational database tables into text files

The command line Python scripts based on RDKit provide functionality for the following tasks:

• Calculation of molecular descriptors and partial charges
• Comparison of 3D molecules based on RMSD and shape
• Conversion between different molecular file formats
• Enumeration of compound libraries and stereoisomers
• Filtering molecules using SMARTS, PAINS, and names of functional groups
• Generation of graph and atomic molecular frameworks
• Generation of images for molecules
• Performing structure minimization and conformation generation based on distance geometry and forcefields
• Performing R group decomposition
• Picking and clustering molecules based on 2D fingerprints and various clustering methodologies
• Removal of duplicate molecules and salts from molecules

The command line Python scripts based on PyMOL provide functionality for the following tasks:

• Aligning macromolecules
• Splitting macromolecules into chains and ligands
• Listing information about macromolecules
• Calculation of physicochemical properties
• Comparison of marcromolecules based on RMSD
• Conversion between different ligand file formats
• Mutating amino acids and nucleic acids
• Generating Ramachandran plots
• Visualizing X-ray electron density and cryo-EM density
• Visualizing macromolecules in terms of chains, ligands, and ligand binding pockets
• Visualizing cavities and pockets in macromolecules
• Visualizing macromolecular interfaces
• Visualizing surface and buried residues in macromolecules

 

MayaChemTools is a fabulous collection of Perl and Python scripts, modules, and classes to support a variety of day-to-day computational discovery needs.

The core set of command line Perl scripts available in the current release of MayaChemTools has no external dependencies and provide functionality for the following tasks:

• Manipulation and analysis of data in SD, CSV/TSV, sequence/alignments, and PDB files
• Listing information about data in SD, CSV/TSV, Sequence/Alignments, PDB, and fingerprints files
• Calculation of a key set of physicochemical properties, such as molecular weight, hydrogen bond donors and acceptors, logP, and topological polar surface area
• Generation of 2D fingerprints corresponding to atom neighborhoods, atom types, E-state indices, extended connectivity, MACCS keys, path lengths, topological atom pairs, topological atom triplets, topological atom torsions, topological pharmacophore atom pairs, and topological pharmacophore atom triplets
• Generation of 2D fingerprints with atom types corresponding to atomic invariants, DREIDING, E-state, functional class, MMFF94, SLogP, SYBYL, TPSA and UFF
• Similarity searching and calculation of similarity matrices using available 2D fingerprints
• Listing properties of elements in the periodic table, amino acids, and nucleic acids
• Exporting data from relational database tables into text files

The command line Python scripts based on RDKit provide functionality for the following tasks:

• Calculation of molecular descriptors
• Comparison 3D molecules based on RMSD and shape
• Conversion between different molecular file formats
• Enumeration of compound libraries and stereoisomers
• Filtering molecules using SMARTS, PAINS, and names of functional groups
• Generation of graph and atomic molecular frameworks
• Generation of images for molecules
• Performing structure minimization and conformation generation based on distance geometry and forcefields
• Picking and clustering molecules based on 2D fingerprints and various clustering methodologies
• Removal of duplicate molecules

These invaluable scripts can be used in other applications, I've written a Vortex Script that uses them.

 

Just noticed this paper.

MayaChemTools: An Open Source Package for Computational Drug Discovery 10.1021/acs.jcim.6b00505">DOI.

MayaChemTools is a growing collection of Perl scripts, modules, and classes to support a variety of computational drug discovery needs, such as manipulation and analysis of data, generation of two-dimensional (2D) fingerprints, similarity searching, and calculation of physicochemical properties.

MayaChemTools is freely available online at www.MayaChemTools.org, under the terms of the GNU LGPL, as published by the Free Software Foundation.

It is possible to access them using a Vortex script.

 

To be honest I can't remember when I last used Perl but this publication brought back a few memories DOI.

HackaMol is an open source, object-oriented toolkit written in Modern Perl that organizes atoms within molecules and provides chemically intuitive attributes and methods.

Source code and example scripts are available online at http:// github.com/demianriccardi/HackaMol. There is also a description of an IPerl Notebook in the supporting information.

There is also a very interesting extension HackaMol::X::Vina, a structured class that provides an interface with the AutoDock Vina docking program