Computation Resources for Drug Discovery (CRDD)

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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. Following are major features of CRDD; I) computational resources for researchers in the field of computer-aided drug design, ii) discussion form to discuss their problem with other members, iii) maintain wikipedia related to drug discovery, iv) developing database related to medicine; v) prediction of inhibitors and vi) prediction of ADMET property of molecules. One of the major objectives of CRDD is to promote open source software in the field of chemoinformatics and pharmacoinformatics. All are welcome to participate in this novel mission. Following are major features of CRDD

Contents

Resource Compilation

Under CRDD, all the resources related to computer-aided drug designs have been collected and compiled. These resources were classify and presented on CRDD so users can got resources from single source.

Target Identification

In this category all the resources important for searching drug targets have been saved under following classes, Genome Annotation, Proteome Annotation, Potential Targets, Protein Structure

Virtual Screening

In this category all the resources important for virtual screening have been compiled under following classes, QSAR Techniques, Docking QSAR, Chemoinformatics, siRNA/miRNA

Drug Design

In this category all the resources important for designing drug inhibitors/molecules have been classify under following classes, Lead Optimization, Pharmainformatics, ADMET, Clinical Informatics