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Computational Resource for Drug Discovery : ウィキペディア英語版
Computational Resource for Drug Discovery

Computational Resources for Drug Discovery (CRDD) is one of the important silico modules of Open Source for Drug Discovery (OSDD). The CRDD web portal provides computer resources related to drug discovery on a single platform. It provides computational resources for researchers in computer-aided drug design, a discussion forum, an resources to maintain Wikipedia related to drug discovery, predict inhibitors, and predict the ADME-Tox property of molecules
One of the major objectives of CRDD is to promote open source software in the field of chemoinformatics and pharmacoinformatics.
==Features==

Under CRDD, all the resources related to computer-aided drug design have been collected and compiled. These resources are organized and presented on CRDD so users can get resources from a single source.
*Target identification provides the resources important for searching drug targets with information on genome annotation, proteome annotation, potential targets, and protein structure
*Virtual screening compiles the resources important for virtual screening as QSAR techniques, docking QSAR, chemoinformatics, and siRNA/miRNA
*Drug design provides the resources important for designing drug inhibitors/molecules as lead optimization, pharmainformatics, ADMET, and clinical informatics

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