Git Product home page Git Product logo

openochem's Introduction

Open OCHEM -- AI models for drug discovery and environmental chemistry

The Open OCHEM is open source version of the On-line Chemical database and Modelling Environment Platform (http://ochem.eu)

It is a user-contributed repository of referenced experimental data, computational tools and models of ADMET properties of chemical compounds. The OCHEM algorithms can reliably identify compounds predicted with experimental accuracy: there is no need to test them in a lab. The OCHEM can be used for timely and low-cost identification of scaffolds with lower risks of failure due to the unfavorable physico-chemical and/or biological properties. The free open source of OCHEM is a reference system for academic users thus accumulating data and knowledge produced in academia. The developed OCHEM workflow allows an unbiased comparison of different existing and new machine learning algorithms which can be easily integrated in OCHEM by its users.

OCHEM software can be used to develop QSPR and QSAR models for various biological and physico-chemical projects. It can work with millions of molecules and can be configured to use hundreds of CPUs or GPUs. Open OCHEM allows you to install the fully functional version of the software and analyse your data privately. The closed source version is also available from BIGCHEM GmBH and provides several additional optimized software packages which were contributed by the company or its partners.

The open OCHEM currently supports tens methods and descriptors packages, which were developed and contributed by different providers and are distributed under the open source or respective license agreements (most of them are free of charge for academic, educational, recreational or evaluation purposes - check each respective license agreement).

See installation instructions how to install and run openOCHEM.

We wish you a happy computing!

We sincerely thank Yuriy Sushko, Sergey Novotarskyi, Pavel Karpov, Mark Embrechts, Ivan Khokhlov, Robert Körner, Anil Kumar Pandey, Elena Salmina, Stefan Brandmaier, Larisa Charochkina, Vasyl Kovalishyn, Ahmed Abdelaziz, Matthias Rupp, Dipan Ghosh, Zhonghua Xia, Alli Keys as well as many other current and former members of Tetko's group and eADMET and BIGCHEM GmbH companies for their contributions to the development, testing, use and the feedback.

We also thank developers of CDK, MOPAC2016, KGCNN, OpenBabel, Xemistry, BALLOON, WEKA as well as Vsevolod Tanchuk, Sergey Sosnin, Maxim Fedorov, Peter Ertl, Bruno Bienfait, Ruud van Deursen, Gilles Marcou, Igor Baskin, Artem Cherkasov, Pavel Polishchuk, Eugene Radchenko, Vladimir Palyulin, Vijay Masand, Vishweh Venkatraman, Andrea Mauri, Weida Tong, Huixiao Hong, Todd Martin, Peter Jarowski, Vladimir Poroikov, Dmitriy Filimonov, Atif Raza and many others who contributed modules that are used in the OCHEM.

Igor Tetko, Martin Šícho, Guillaume Godin and BIGCHEM GmBH

open OCHEM history:

The OCHEM project started in 2007 following a GO-Bio award to Igor Tetko at Helmholtz Munich (HMGU). Between 2011 and 2014 software was licensed and developed by startup eADMET GmBH. Since 2016 OCHEM is maintained, developed and supported by BIGCHEM GmBH, HMGU as well by Firmenich, which contributed several important modules. In 2021 as result of agreement between HMGU, BIGCHEM GmBH and Firmenich it was decided to release the core code of OCHEM as an open source under the AGPL v. 3.0 agreement.

The initial version of OCHEM was described in Tetko et al 2011 and article about openOCHEM is under preparation now. The OCHEM includes superserver, metaserver (both running as independent tomcat instances) as well as calculation servers. It setup requires installation of mariadb, mongodb, singularity as well as several other packages and it is described in details in the installation instructions. The detailed instructions how to setup OCHEM for maximal performance as well as to connect it to main OCHEM web site will be also provided.

openochem's People

Contributors

bigchem avatar martin-sicho avatar openochem avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.