Search Results for "complex"

- Molecular Docking Virtual Screening Tool To Aid In Drug Discovery Research. - Published in Wiley, Journal of Computational Chemistry . Link: https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.27390 - Developed with Synchronized functioning of Python and Batch scripts -Integerated With Pymol-open-source for visualizing interaction (PSE file) generated from MzDOCK - Integrated with Molecule Drawing Tool - JSME Editor - If you are facing any issues or for queries . Contact us -...

...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

Tahoe is a research-oriented platform for the development of numerical methods and models for the simulation of complex material behavior.

This project contains tools for using the TX-TL cell-free expression system. These tools include component models for simulating and analyzing biomolecular circuits, as well tools for composing circuits and creating more complex systems. NOTE: This project has been shifted to GitHub: https://github.com/BuildACell/txtlsim

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).

Nature is an open source library for computing thermochemical and kinetic properties of complex gas mixtures. The library supports the CHEMKIN data format and a native script for defining complex gas mixtures. Nature is written in C# and does not depend on any third party tool or library. Nature interoperates natively with any .NET language including the FTN95: Fortran 95 compiler. The primary goal of the project is to deliver the open source that provides the foundation for potentially complex CFD solutions capable of carrying computing in the distributed environment and particularly the Cloud computing.

Little b is a Lisp-based language which allows scientists to build shareable, reusable mathematical models of complex systems based on shared parts. The initial focus is molecular and multicellular networks. Project web page: http://www.littleb.org