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Software used to create and test candidate medications during different stages of the development cycle. - Access drug databases and information on protein targets and binding sites - Predict property interactions, extract screening analytics, and use computational tools - Use visual dashboards for tested molecules and design drugs through 2D and 3D simulations - Simplify the workflow for pharmaceutical research in drug discovery and reduce time to market
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The Phoenix platform is the one software ecosystem to streamline PK/PD data management and analysis. With all the tools PK/PD researchers need in a single, interoperable platform, to effortlessly share pre-clinical and clinical knowledge across an organization through secure and consistent workflows using Phoenix-based tools and 3rd-party applications. Phoenix WinNonlin is the first choice for non-compartmental analysis (NCA), toxicokinetic modeling, and pharmacokinetic and pharmacodynamic (PK/PD) modeling by over 6,000 researchers at biopharmaceutical companies, academic institutions, and 11 global regulatory agencies, including the US FDA, EMA, PMDA and more. With our new offering Phoenix Hosted users leverage the power of cloud computing. Compared to Phoenix software installed on local computers, Phoenix Hosted gives research teams much more flexibility. Phoenix Hosted supports various operating systems and hardware and offers easy scalability to adapt to organizational needs.
Discovery scientists who need to understand their compounds’ structure-activity relationships and prioritize their compounds for development have to spend too much time manually querying data or relying on IT to build their data views. D360 provides self service access and visuals that allow them to make the decisions they need to make more quickly and easily. D360™ is the industry leading scientific informatics system for small molecule and biologics discovery research. D360 is used by over 6,000 research scientists worldwide from the top 10 pharmaceutical companies to startup biopharmaceutical companies to improve data utilization and optimize design-make-test-analyze cycles. D360 provides self-service data access, integrated data visualization and analysis and collaboration tools that allow compound prioritization, development of SAR and many other scientific data workflows in chemistry and biology domains to improve the effectiveness of data-driven research.
Better SAR data means better insights and predictions for your drug pipelines. Accelerate your research to discover the next breakthrough. Start with GOSTAR®️ - The Largest Curated SAR Database 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗚𝗢𝗦𝗧𝗔𝗥®? GOSTAR® is the only SAR database that is designed by medicinal chemists, for medicinal chemists. The harmonized data sets are curated to contain the data most relevant to pharmaceutical design and discovery. It provides comprehensive information on small molecules, including their substance–target affinity data as well as pharmacokinetic, efficacy, metabolic, safety, and toxicity profiles. GOSTAR® serves as a valuable resource in drug discovery, chemical biology research, and AI/ML modeling, facilitating the identification, optimization, and prediction of biologically active compounds. “GOSTAR® allows us, effectively, to enter an area of biological and chemical space that wouldn’t be possible otherwise.” Jonny Wray, CTO, E-therapeutics.
Screen your compound across well validated panels of Syngeneic and Tumor Homograft models to accelerate your drug development. The MuScreen platform is the only high throughput in vivo screen to evaluate immune modulating agents across preselected panels of well-characterized syngeneic and tumor homograft (MuPrime™) models. This screen provides a cost effective and time efficient way to fast-track in vivo preclinical immunotherapy development.
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CSD-Discovery provides access to a range of software and database tools covering scientific applications within the drug discovery field, from knowledge-driven conformer generation to the search and analysis of protein-ligand complexes.
Discover New Drug Targets and Repurposing Candidates Faster and with Confidence: • Boost research speed by 10x: Efficiently mine scientific information and uncover connections across vast data sources. • Enrich your knowledge with AI-extracted data: Access relevant information from scientific publications, patents, and study materials effortlessly. • Analyze complex relationships with advanced algorithms: Effectively examine large networks of connections between biomedical entities. • Make data-driven decisions in target assessment: Embrace a proactive approach to prioritize drug targets confidently. • Foster innovation with a flexible digital discovery platform: Adapt to your research and business needs for both new drug target discovery and drug repurposing.
Accelerate Innovation in Science and Engineering with AI and Machine Learning.
Climb™ was developed by scientists for scientists to modernize in vivo study management processes and animal research, and harness the power of preclinical study data. Originally funded by the NIH, RockStep works in collaboration with industry leaders to design and develop Climb – an innovative, cloud-native software solution that streamlines in vivo study management workflows and ensures robust, high-integrity preclinical study data to accelerate time to new discoveries.