Chemoinformatics is the mixing of those information resources to transform data intoinformation and information into knowledge for the intended purpose of making betterdecisions faster in the area of drug lead identification and optimization.Since then, both spellings have been used, and some have evolved to be established ascheminformatics. Steps in the drug discovery process: disease selection, target hypothesis,lead compound identification (screening), lead optimization, clinical trial andpharmacogenomic optimization. Traditionally, these steps are carried out sequentially.Structure linear notations convert chemical structure connection tables to a string, a sequenceof letters, using a set of rules. The earliest structure linear notation was the Wiswesser LineNotation (WLN).Using all the advanced chemoinformatics system, it enhances the drug discovery rapidly andwith low cost and helps to eminent scientists to synthesize the drugs.
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.
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 got 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.
Jan. 22, 2014 — Researchers at The University of Texas at Austin’s Cockrell School of Engineering have developed a new source of renewable energy, a biofuel, from genetically engineered yeast cells and ordinary table sugar. This yeast produces oils and fats, known as lipids, that can be used in place of petroleum-derived products.
Jan. 11, 2014 — In a study of the range of treatments being employed for young children with autism and other developmental delays, UC Davis MIND Institute researchers have found that families often use complementary and alternative medicine (CAM) treatments and that the most frequent users of both conventional and complementary approaches are those with higher levels of parental education and income.