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  2. Computational Resource for Drug Discovery - Wikipedia

    en.wikipedia.org/wiki/Computational_Resource_for...

    Computational Resources for Drug Discovery (CRDD) is an important module of the in silico module of Open Source for Drug Discovery (OSDD). [1] The CRDD web portal provides computer resources related to drug discovery , predicting inhibitors, and predicting the ADME-Tox properties of molecules on a single platform.

  3. Structural bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Structural_bioinformatics

    Virtual screening (VS) is a computational approach used for fast screening of large compound libraries for drug discovery. Usually, virtual screening uses docking algorithms to rank small molecules with the highest affinity to a target receptor.

  4. Nvidia-backed AI firm Iambic unveils drug discovery ... - AOL

    www.aol.com/news/nvidia-backed-ai-firm-iambic...

    Iambic, which has previously won investment from tech giant Nvidia, published details of its new AI drug discovery model, named "Enchant". Enchant was trained on large troves of pre-clinical data ...

  5. Virtual screening - Wikipedia

    en.wikipedia.org/wiki/Virtual_screening

    Structure-based virtual screening approach includes different computational techniques that consider the structure of the receptor that is the molecular target of the investigated active ligands. Some of these techniques include molecular docking , structure-based pharmacophore prediction, and molecular dynamics simulations.

  6. Artificial intelligence in pharmacy - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence_in...

    Artificial intelligence in pharmacy is the application of artificial intelligence (AI) [1] [2] [3] to the discovery, development, and the treatment of patients with medications. [4] AI in pharmacy practices has the potential to revolutionize all aspects of pharmaceutical research as well as to improve the clinical application of pharmaceuticals ...

  7. Computational toxicology - Wikipedia

    en.wikipedia.org/wiki/Computational_toxicology

    Today, computational toxicology continues to evolve, driven by innovations in omics technologies, big data analytics, and regulatory science. It plays a crucial role in risk assessment, drug development, and environmental protection , offering faster and more ethical alternatives to traditional toxicological testing.

  8. Molecular Operating Environment - Wikipedia

    en.wikipedia.org/wiki/Molecular_Operating...

    Molecular Operating Environment (MOE) is a drug discovery software platform that integrates visualization, modeling and simulations, as well as methodology development, in one package. MOE scientific applications are used by biologists, medicinal chemists and computational chemists in pharmaceutical, biotechnology and academic research.

  9. Drug discovery - Wikipedia

    en.wikipedia.org/wiki/Drug_discovery

    Despite the rise of combinatorial chemistry as an integral part of lead discovery process, natural products still play a major role as starting material for drug discovery. [55] A 2007 report [ 56 ] found that of the 974 small molecule new chemical entities developed between 1981 and 2006, 63% were natural derived or semisynthetic derivatives ...