We deliver on-demand scientific data and analytics so you can discover and develop innovative, targeted drugs
Realizing the potential of data-driven drug discovery & development is time and resource intensive. Success requires connecting, combining and using data from disparate sources and enabling the right context for data.
How we help
We are a global leader in scientific data and analytics, offering deep experience in helping pharmaceutical companies extract value from unstructured data to drive successful drug discovery and development.
- Sift through disease and -omics data to prioritize targets and progress-relevant molecules and identify patient populations
- Identify the most promising lead compounds for disease treatment, covering critical areas of medicinal chemistry research
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- Understand the breadth of available research surrounding a disease and identify partnerships for cutting edge research
- Better integrate external research with in-house data to simplify comparisons and get insights into experimental results
Elsevier's R&D Solutions - Pharma & Life Sciences Solution Finder
Answer a few questions to see which of our pharma & life sciences solutions can help you. From drug discovery to post-market, we offer solutions that can help you drive commercial success and manage risk.
Find the right solutions for your needs
Thousands of researchers and other pharma R&D professionals working in drug discovery and development rely on our solutions.
The information advantage
Medical affairs exec Mark Collin is under pressure to help his company get to market before the competition, and Scopus supports and speeds up this process in critical ways.
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Improve drug success rates
A Senior Executive Director at a global animal health company and his team rely on ScienceDirect to help them determine the commercial and technical feasibility of a new drug.
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Elsevier's R&D Solutions for Drug Discovery & Development
Drive successful early drug discovery by providing chemists the shortest path to relevant literature, patent information, valid compound properties, and experimental procedures.
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Reaxys Medicinal Chemistry
Achieve more efficient hit identification and lead optimization by providing chemists the shortest path to normalized compound–target affinity data and comprehensive pharmacokinetic, efficacy, toxicity, safety and metabolic profiles.
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Uncover drug-disease relationships and drug-drug interactions by increasing the discovery of biomedical evidence and providing comprehensive relevant, up-to-date biomedical information.
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Make more informed drug development decisions on safety and efficacy, risk assessments and mitigation, and study designs by providing researchers with searchable FDA/EMA drug approval documents and comparative drug safety data.
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Drive innovative pharmaceutical research by resolving challenges with data quality and integration and making data easier for researchers to compare, analyze, interpret and share.
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Streamline target and biomarker identification and drug repurposing by providing biological researchers with greater insight into the mechanisms of disease and facilitating the interpretation of experimental data.
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Help researchers understand the entire breadth of research surrounding a disease by helping them more effectively and efficiently search authoritative, full-text scientific, technical and health content.
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Detect trends, find partnerships and identify experts to stay on the cutting edge of research through the world’s largest abstract and citation database of peer-reviewed literature, including tools to track, analyze and visualize research.
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Help pharmaceutical R&D professionals and other researchers get meaningful answers to complex pharmaceutical research questions through rapid retrieval of highly specified information from unstructured content.
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Ideas and insights for industry professionals
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.
Pharmaceutical companies rely heavily on data analysis to advance drug research, but this data-driven approach also increasingly applies to the search for collaborators.
A big picture for Pharma
Systems biology and chemistry data has incredible potential for reducing drug development costs and attrition rates. This new white paper examines the issue in detail.