Open Source Python Chemistry Software - Page 2

PocketAnalyzerPCA combines a geometric algorithm for detecting pockets in proteins with Principal Component Analysis and clustering. This enables visualization and analysis of pocket conformational distributions of large sets of protein structures.

geostd is an open-source set of restraints for molecules involved in macromolecular structure refinement. The restraints reduce the number of variables making the solution of protein structures a more tractable process.

The intend is to solve the forward-reaction prediction problem, where the reactants are known and the interest is in generating the reaction products using Deep learning. This Graphical User Interface takes simplified molecular-input line-entry system (SMILES) as an input and generates the product SMILE & molecule. Beam search is used in Version 2, to generate top 5 predictions. Maximum input length for the model is 15 (excluding spaces).

ED Software project contains several programs used (mostly) for processing gas-phase electron diffraction (GED) experimental data.

We here present a novel computer algorithm, called AutoClickChem, capable of performing many click-chemistry reactions in silico. In silico modeling of click-chemistry products may prove useful in rational drug design and drug optimization.

A tool to calculate atoms exposition to a probe in a three dimensional molecule structure.

The Acids and Bases chapters' (14 and 15) calculations are arguably the hardest calculations in all of AP Chemistry. With some problems taking as long as ten minutes to solve, the can be hard to wrap the mind around. However, with the Acids and Bases Program, a quick answer is never more than a click away.

BETR-Research (BETRS) is a modelling framework to create spatially resolved multimedia models for the environmental fate- and transport of chemical contaminants. It is intended to serve the research community and can be used as a teaching tool.

This is a .exe program (originally python) to balance chemical equations. Just enter the reactants and the products, and this tool will automatically add the coefficients.

This Python program is used to balance a chemical reaction and to compute the material balance. Furthermore, it's able to check molecules and to write the condensed strutural formula from the name of an organic molecule. (Those both functionalities are still limited.)

Frowns is a chemoinformatics system written almost entirely in python.

PyMOL Plugins aims to provide many plugins for the PyMOL software. You can find further informations about PyMOL on this website: http://www.pymol.org/

RASP uses structure-based chemical shift predictions to solve the backbone resonance assignment problem in protein NMR spectroscopy. This enables rapid determination of highly accurate assignments on the basis of minimal experimental datasets, even for spectroscopically challenging proteins. RASP takes as input spin systems assembled on the basis of an arbitrary set of conventional triple-resonance NMR experiments. Uniquely, RASP is capable of extensive assignments even in the abscence of Cbeta chemical shift information: over a test set of 154 proteins RASP assigns 88 % of residues with an accuracy of 99.7 %, using only information available from HNCO and HNCA spectra. RASP is described here: MacRaild and Norton (2014) RASP: Rapid and robust backbone chemical shift assignments from protein structure. J Biomol NMR doi:10.1007/s10858-014-9813-7

The TheoDORE (Theoretical Density, Orbital Relaxation and Exciton analysis) package is a general purpose program suite for the analysis of excited states obtained from quantum chemical excited state calculations. Wavefunction analysis is based on state and transition density matrices, which provides a unified formalism applicable independent of the wavefunction model. TheoDORE is interfaced to a number of quantum chemical programs (Q-Chem, Columbus, Turbomole, ...) and can be used for a wide range of excited state methods (MR-CI, ADC, CC, TDDFT). It is written in a modular fashion to allow for an easy extension of these capabilities. Code development moved to github: https://github.com/felixplasser/theodore-qc

Viewmol is a graphical front end for computational chemistry programs. It is able to graphically aid in the generation of molecular structures for computations and to visualize their results.

UPDATE: LATEST VERSION AT http://git.durrantlab.com//jdurrant/wisp Allostery can occur by way of subtle cooperation among protein residues (e.g., amino acids) even in the absence of large conformational shifts. Dynamical network analysis has been used to model this cooperation, helping to computationally explain how binding to an allosteric site can impact the behavior of a primary site often many angstroms away. Traditionally, computational efforts have focused on the most optimal path of correlated motions leading from the allosteric to the primary active site. We present a program called Weighted Implementation of Suboptimal Paths (WISP) capable of rapidly identifying additional suboptimal pathways that may also play important roles in the transmission of allosteric signals. Aside from providing signal redundancy, suboptimal paths traverse residues that, if disrupted through pharmacological or mutational means, could modulate the allosteric regulation of important drug targets.

ccwatcher monitors the progress of computational chemistry calculations during runtime. It has both a GUI and a "Command Line Interface" to which it parses important output and plots SCF energies.

Open source steam property routines in C. Implements the IAPWS-IF97 steam tables from the International Association for the Properties of Water and Steam. Includes two-way property solvers and test suite. Can be used from C/C++, Fortran, Python, LabVIEW, Octave and ASCEND.

PAScual is a data analysis suite for Positron Annihilation Lifetime Spectroscopy (PALS).

pyitc is designed for processing and analysing isothermal titration calorimetry experimental data (Microcal instruments).

pychemqt is a software for simulate units operations in Chemical Engineering

*** New releases of quichem will only be available on GitHub. *** quichem is a utility written in pure Python allowing for fast input and parsing of chemical formulae and equations. Entering data does not require any modifier keys or keystrokes to be pressed. This SourceForge page provided pre-built Windows binaries of quichem-pyside. **To run quichem on Mac OS X or Linux**, or with the wxPython front-end, please download the source from quichem's GitHub page at: github.com/spamalot/quichem.

2DFLT it is first out of two programs which allows implementation of Phase Sensitive Detection (PSD) and/or Modulated Enhanced Diffraction (MED) techniques on the in situ data. This software allows collecting individual data files from in situ experiment into one dataset. After that this data set can be visualized, edited, normalized and averaged. Resulted data can be saved as one flat file (FLT-format) which can be used for PSD/MED calculations via 2DMED software (http://sourceforge.net/projects/twodmed/?source=directory). 2DFLT specifically was written to target in situ X-ray Powder Diffraction data from synchrotron measurements. Hence it can read CHI, XYE (TOPAS), FXYE(GSAS/ GSASII) and XY- files formats. However it can read general in situ data written into individual TXT or XY – files.

2DMED it is the second out of two programs which allows implementation of Phase Sensitive Detection (PSD) and/or Modulated Enhanced Diffraction (MED) techniques on the in situ data. This software takes normalized and averaged in situ data in flat file format (FLT) and performs PSD transformation which has been described in Urakawa, A.et al. Chem. Eng. Science 2008, 63, 4902. User can choose demodulation index k and perform several demodulation calculations. This is extremely important since demodulation calculations at k = 2 on in situ powder diffraction data represent implementation of MED method which been described in Chernyshov, D. et al. Acta Cryst. 2011, A67, 327. Demodulated data can be then viewed on 2D and/or 1D plot and analyses with different tools including In Phase Plot, Maximum Amplitude Plot and Positive Pattern Plot. Demodulated data also can be saved in ASCII format for further analysis.

ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.