Enable and Streamline Lead Optimization and Hit Identification
Drug development success (and efficiency) hinges upon identifying the most robust lead compounds from a promising set of hits. Helping researchers make the smartest decisions requires the right mix of pharmacokinetic, efficacy, toxicity, safety and metabolic data.
Elsevier R&D Solutions supports hit-to-lead, lead optimization and synthesis route planning by providing comprehensive compound data, extensive reaction information and synthesis route models. Through leveraging these capabilities, pharmaceutical companies can enable multi-parametric lead optimization and overcome synthesis bottlenecks in drug development workflows. Elsevier R&D Solutions also enables the integration of trusted research content and data by computing in-house data in a single environment, which leverages existing infrastructures, simplifies comparisons, and delivers insights into experimental results.
Elsevier R&D Solutions for Pharma & Life Sciences
Reaxys improves productivity, combining experimental chemical data and essential literature to return relevant extracted chemical data and citations in response to chemistry questions.
Reaxys Medicinal Chemistry
Reaxys Medicinal Chemistry enables drug researchers to quickly and confidently identify the most promising compounds, covering critical areas for medicinal chemistry research, including in vivo animal studies, in vitro efficacy, and drug pharmacokinetics and toxicity data.
Elsevier R&D Solutions Professional Services team helps drive pharmaceutical research in innovative directions by resolving challenges with data quality and integration, resulting in data that is easier to compare, analyze, interpret and share.
ScienceDirect, Elsevier’s leading information solution for researchers, enables pharma researchers to more effectively and efficiently search authoritative, full-text scientific, technical and health content through the use of smart, intuitive functionality.
Real Stories. Real Science. Real Time.
Visit the Hive to explore how biotech and pharma start-ups are using Elsevier R&D solutions to solve for early-stage drug discovery and development. Watch videos, read real-world case studies and learn how early innovation starts with rapid results and early access to research that is crucial to reducing the likelihood of costly late stage failures and mitigating risk.
Reducing the Likelihood of Late-Stage Failures
Investments in pre-clinical drug research can improve your chances for downstream development success.
Big Data, Wider Mindset
Systems biology and systems chemistry are laying the foundation for a shift in mentality that overcomes the disconnection between how drugs are created and how they are used.
De-Risking Pharmaceutical Development with High-Quality Information
How does data-driven drug development reduce risk of late-stage failure? And how can information providers ensure data usability for early drug discovery?
Reducing Failure at the Most Expensive Preclinical Stage
Reducing the cost and difficulty of lead optimization is now possible. This new article looks at the benefits of high-quality data and in silico tools in drug development.
We very rarely have to go beyond Reaxys and read the source to find what we need.
From Taxonomies to Answers
Dr. Anders Lohse Vice President of Project Management at NCK, discusses the role of high-quality data in his company’s research and how Reaxys supports the optimization of reactions, and more.
Click here to read the full customer interview (PDF, 796kb)