Open Source Molecular Science Software - Page 4
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Molecular Science Software
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An open-source software to convert SDF files into TINKER XYZ files (and viceversa) with automatic assignment of MMFF94 atom types, bond types and charges
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2DFLT
Program for Normalization, Averaging and Editing of In Situ Data Sets
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. -
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2DMED
Phase Sensitive Detection and Modulated Enhanced Diffraction Software
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. -
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Allelome.PRO
A pipeline to define allele-specific genomic features
Detecting allelic biases from high-throughput sequencing data requires an approach that maximises sensitivity while minimizing false positives. Here we present Allelome.PRO, an automated userfriendly bioinformatics pipeline, which uses high-throughput sequencing data from reciprocal crosses of two genetically distinct mouse strains to detect allele-specific expression and chromatin modifications. Allelome.PRO extends approaches used in previous studies that exclusively analysed imprinted expression to give a complete picture of the “allelome” by automatically categorising the allelic expression of all genes in a given cell type into imprinted, strain-biased biallelic or noninformative. Allelome.PRO offers increased sensitivity to analyse lowly expressed transcripts, together with a robust false discovery rate empirically calculated from variation in the sequencing data. -
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Using the CUDA API this project modifies the AutoDock software to run in parallel on NVIDIA GPUs. Users will be able to download and compile the code and use AutoDock on CUDA capable Graphics Cards. Autodock is located at http://autodock.scripps.edu/
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Chem-Parser
Molecule Sketcher and Immediate Parser to Excel, .SMI and 3D SDF
Chem-Parser is an intuitive and efficient utility designed to streamline the data curation process for QSAR (Quantitative Structure–Activity Relationship) modeling and cheminformatics workflows. This versatile tool allows users to draw chemical structures, parse multiple SMILES strings, and automatically populate a structured table with associated compound names and custom-defined value tags such as biological activity or physicochemical properties. By enabling rapid structure-to-data mapping, Chem-Parser significantly reduces manual effort in dataset preparation, ensuring consistency and accuracy across large compound libraries. Whether you're building predictive models or managing compound repositories, Chem-Parser offers a user-friendly interface and high-throughput parsing capability that makes it an indispensable addition to any researcher's toolkit. A must-have tool for computational chemists, medicinal chemists, and data scientists involved in drug discovery and molecular -
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ESBTL (Easy Structural Biology Template Library) is a lightweight C++ library that allows the handling of PDB data and provides a data structure suitable for geometric analysis and advanced constructions.
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GPSR is a resource for genomics, proteomics and systems biology. The aim of this project is to build comprehensive resources in the field of bioinformatics.
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Larch: Data Analysis for X-ray Spectra
Data Processing and Analysis for X-ray Spectroscopy and More
Larch is a scientific data processing language that is designed to be easy to use for novices and complete enough for advanced data processing and analysis. Larch provides a wide range of functionality for dealing with arrays of scientific data, and basic tools to make it easy to use and organize complex data. Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py). -
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MPQC
Massively Parallel Quantum Chemistry program
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation. -
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Mito-MAS-m is a simulator of the mitochondrial inner membrane and the enzymatic complexes embedded in it, implementing a coarse-grained (CG) model of the molecules using rigid structures and Dissipative Particules Dynamics (DPD) as motion equation.
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NOC is a open source development toolkit and a powerful molecular explorer for protein structure visualizing,analysis,crystallographic mapping, modeling, and refinement, Gromacs/Amber MD trajectories displaying,movie making...
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PAICE is a rapid bioinformatics pathway visualization tool for KEGG-compatible accessions derived from Illumina Solexa next-gen and Affymetrix datasets. It colors KEGG pathways while appreciating detection-calls and duplicate gene copies.
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PPFS
Add on to kSNP for predicting phenotypes from SNPs in microbial genome
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Periodic Table of Elements
Periodic Table of Elements a quick reference tool
Periodic Table of Elements is a quick reference tool that allows you a quick glance to get general information about an element. The program is for educational purposes. -
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ProtPOS
Prediction of PROTtein Preferred Orientation on a Surface
ProtPOS is a self-contained, lightweight, and easy-to-use software package for predicting the preferred orientation of protein on a given surface upon initial adsorption. It searches quickly for the low energy protein poses in all translational and rotational degrees of freedom of the protein with respect to the surface using particle swarm optimization. Each successful run returns the lowest energy orientation of the protein on the surface in PDB format, which is readily used for MD simulations. ProtPOS is implemented in Python, making use of the PyMOL library for generating protein conformations and calling GROMACS externally to calculate protein-surface interaction energies. https://cbbio.online/software/protpos/ -
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Protospacer
Rapid gRNA design and validation for CRISPR
Sign up to our mailing list at http://www.protospacer.com/contact.html. Protospacer allows researchers to build, analyze, and share their own database of CRISPR target-sites. This enables the development of custom libraries and helps to transfer the CRISPR technology to new organisms. Each Protospacer database is a simple catalogue of all possible Cas9 target-sites within a given FASTA sequence, i.e. all NGG/NAG sites. Protospacer then allows the user to sub-select targets from the database by gene ID, by exon/intron/UTR location, by sequence similarity, or by genomic co-ordinate. From here, users are able to evaluate potential off targeting, to export results in FASTA format or tabulated (e.g. for Microsoft Excel), and to connect to the Integrative Genomics Viewer (IGVref) and view target-sites in the context of genomic annotations, amino acid translations, and HT-Seq data (for off-target validation). We provide online video tutorials and a toy database from our main website. -
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PySpline is a graphical, cross-platform program for processing X-ray absorption spectroscopy (XAS) and Extended X-ray absorption fine structure (EXAFS) data. It allows processing parameters to be adjusted and observe the effect on R-space data.
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SMASH
Massively parallel software for quantum chemistry calculations
Scalable Molecular Analysis Solver for High-performance computing systems (SMASH) is massively parallel software for quantum chemistry calculations and released under the Apache 2.0 open source license. It is currently capable of energy, analytical gradient, and geometry optimization calculations of Hartree-Fock theory and Density Functional Theory (DFT), and energy calculations of Second-order Moller-Plesset (MP2) perturbation theory. DFT calculations can be performed on 100,000 CPU cores with high parallel efficiency. -
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Splicing Prediction Pipeline
Splicing Prediction Pipeline or SPiP
SPiP is a tool to predict the splice alteration of variant by integrate several prediction tool in a global pipeline. You can also download SPiP in zip format: https://sourceforge.net/projects/splicing-prediction-pipeline/files/SPiP_alone_v2_1.zip For Linux (GitHub): https://github.com/LBGC-CFB/SPiP If you have questions, please contact me to: r.leman@baclesse.unicancer.fr or raphael.leman@orange.fr v2.1 corrected (07/2021) : correction of score calculation v2.1 (06/2021): Most strigent on "Alter by complex event" v2.0 (04/2021): New SPiP with random forest modelization old change detailled in https://sourceforge.net/projects/splicing-prediction-pipeline/files/changeLogBeforev2.0.txt -
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TUBE
Generating structures of nanotubes and some fullerenes
A Windows software for generating structures of nanotubes and some fullerenes. You can generate any kind of nanotubes (n,m) with chirality indices n and m ranging from 0 to 60, and the number of repetitive unit cells up to 50. You can also generate some typical fullerene cages from C20 up to C320. -
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The CCP1GUI
An extensible GUI for computational chemistry codes
The CCP1GUI project aims to develop a free, extensible Graphical User Interface to various computational chemistry codes developed by the worldwide academic community, with an emphasis on ab initio Quantum Chemistry codes. -
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The Protein Similarity Network
Human protein similarity network used to predict drug safety.
This is the protein similarity network - PSIN. Here, the nodes are human proteins and they are linked only if they share considerable sequence similarity. We found that this network is particularly useful to distinguish approved from problematic drug-targets. Here you also find the complete set of programs and datasets we used for this purpose. Free to help further test and develop this project. Your help and expertise are much appreciated ! If you have any questions, please do not hesitate to contact us in the forum or by email. Please see the original manuscript: Lopes, TJS, et al. (2015) - "Identifying problematic drugs based on the characteristics of their targets" - Frontiers in Pharmacology doi: 10.3389/fphar.2015.00186 -
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UniPyRange
Tool to fetch protein/DNA truncation constructs from Uniprot DB
Very simple python script which saves you the pains of counting the amino acids/DNA bases in fasta files from the Uniprot and NCBI RefSeq Database (1, 2). Lets say you want the amino acid sequence of range 128-387 from a 1000 amino acid protein - this script will help you to avoid counting mistakes by just showing you the specified sequence in amino acids and coding DNA base pairs (ideal for amplification primer design) of a specified Uniprot ID. - Requires BioPython (3) and Bioservices Package (4) (1) The UniProt Consortium UniProt: a hub for protein information Nucleic Acids Res. 43: D204-D212 (2015). (2) RefSeq: an update on mammalian reference sequences. Nucleic Acids Res. 2014 Jan 1;42(1):D756-63. (3) Cock PJ et al. Bioinformatics (2009) (4) Cokelaer et al, Bioinformatics (2013)