Finding the Rules for Successful Drug Optimization

9 Dec 2013

Drug discovery is widely recognised as a process of multi-parameter optimisation, with the objective of finding compounds that meet a profile of many property criteria. These will depend on the ultimate therapeutic goal of the project and are typically chosen based on the subjective opinion of the project team. However, analysis of historical data can help to guide the determination of the most appropriate profile. In this article we describe computational approaches, described a described as rule induction, that enable an objective analysis of complex data to objectively identify multi-parameter rules that distinguish compounds likely to be successful for a project’s goal.

StarDrop 5 - Drug Discovery Software

Optibrium

StarDrop is a suite of software that helps you to deliver optimally balanced, effective drugs - fast StarDrop works by evaluating complex data, which is often uncertain because of experimental variability or predictive error. In scoring this data, it brings confidence and intuitive simplicity to decision-making: guiding and validating the direction you take and which compounds you prioritise. Its instantly interactive tools then enable you to efficiently explore ways to further improve your chosen chemistries.Highly visual and easy-to-use, StarDrop also works with your existing IT systems to integrate a multiplicity of data sources. The latest release, version 5.5, comes with extensive data visualisation tools, which now include interactive 3D scatter and chemical space plots.StarDrop's modules include predictive ADME models, P450 metabolism prediction, automatic model building, application of 3D SAR based on Cresset's Field technology, knowledge based toxicity prediction through Derek Nexus while the Nova module can be used for automatically generating new compound ideas in parrallel with the BIOSTER database.StarDrop 5 - Drug Discovery Software Features: Probabilistic Scoring Chemical space Glowing Molecule Data visualisation R-group analysis StarDrop 5 Optional Modules: ADME QSAR Auto-Modeller Nova BIOSTER P450 torch3D Derek Nexus MPO Explorer

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ADME-ToxicologyADME-toxicology (ADME-Tox) studies are used in pharmacology and pharmacokinetics to assess the activity/toxicity of drugs <i>in vivo</i> or <i>in vitro</i>. Find bioassays for absorption, distribution, metabolism, and excretion of drug molecules including cytotoxicity, transporter/permeability, metabolism and activity assays as well as hepatocytes and cell lines for ADME. Find the best ADME-toxicology products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Process ChemistryProcess chemistry is an important stage of drug development for scaling-up drug production or chemical synthesis reactions. It is useful for optimizing economical and efficient drug production. Process chemistry uses reactors and pump systems as well as reagents, standards and buffers.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Compound IdentificationLead OptimizationLead optimization is a phase in the drug discovery process. A lead is a compound that has demonstrated desired biological effects on a target. Optimization involves making chemical modifications to the structure in order to generate analogues of the original compound, which have higher potency and safety profiles.Drug DiscoveryDrug discovery is the process of identifying potential new medications, involving stages such as target identification, compound screening, and preclinical development. It relies on cutting-edge technologies like high-throughput screening, artificial intelligence, and molecular modeling to accelerate the identification of drug candidates. Drug discovery plays a pivotal role in developing new therapies for diseases ranging from cancer to rare genetic disorders. Browse our peer-reviewed product directory to find the latest drug discovery technologies, compare options, check customer feedback, and get pricing directly from manufacturers.