Accelerate research and de-risk portfolios with
AWS for Life Sciences.
Machine learning is transforming drug discovery at AstraZeneca
AstraZeneca uses AWS machine learning to accelerate the drug research process and bring medicines to market faster.
Research and development solutions
The risks associated with advancing research breakthroughs into treatments can result in delays and increased costs. De-risk portfolios by quickly identifying viable target molecules using on-demand, cost-effective, high-performance computing power and AI/ML capabilities on an extensive cloud infrastructure. AWS delivers the broadest range of compute and storage options to optimize costs and performance, while analytics services maximize data liquidity and prime datasets for research management, collaboration, and ML.
Research and development use cases
Research data management and collaboration
Solutions for research data management and collaboration to help automate manual workflows, facilitate information transfer between global teams and partners, and create integrated and secure research environments. AWS and AWS Partner solutions allow organizations to collaborate across research datasets, more easily bring instrumentation data to the cloud, and manage data with electronic lab notebooks. Go to Solutions Library.
AWS solutions
Solution: Biotech Blueprint
Configure scientific applications for identity management, access control, VPN, logging, and compliance auditing.
Solution: Service Workbench
Service Workbench enables secure, federated control of access to data, tooling, and compute power.
Featured customers
AstraZeneca uses AWS to reimagine its drug discovery process, with a goal to develop medicines more quickly, cost effectively, and with a higher probability of success.
Gilead builds a scalable enterprise search tool that uses AI and ML to provide predictive analytics and find important documents, knowledge, and data in one centralized location.
Bristol Myers Squibb builds an enterprise data lake on AWS and improves its speed of data ingestion, data transformation, and its ability to provide insights to the organization.
Featured partner solutions
"The global scale of AWS coupled with the life sciences domain expertise of TetraScience is a potent combination that enables enterprise biopharma organizations to gain the benefits of the cloud while enjoying the competitive advantages of a data platform that’s tuned to their specific R&D workflows."
"Dotmatics and AWS are working together to provision solutions designed to enable real-time access to all scientific project data coupled with powerful analytics and visualization, for all team members irrespective of location. An accessible, and secure data foundation is key to improving innovation through better informed decision-making for scientists, aided by next generation AI and machine learning."
"IDBS helps scientists manage processes and data as they discover the next breakthrough drugs, therapies and vaccines as well as accelerate workflows and deliver insight across the complex drug development lifecycle. All of our cloud solutions are powered by the performance, security, and reliability of AWS."
Featured consulting partners
PerkinElmer's Signals Notebooks acts as a central communication and data sharing hub across decentralized researchers and labs, used by 4,000 research organizations.
High throughput modeling and screening
Solutions for high-throughput modeling and screening are a crucial factor in enabling biopharma organizations to quickly identify therapeutic targets and candidates. With on-demand scalability, researchers can access the resources they need, when they need them, and integrate data-heavy applications like cryo-EM and next-generation sequencing data.
AWS solutions
Guidance: Quantum Computing Exploration for Drug Discovery on AWS
This guidance allows researchers or quantum computing advocates to design and run computational studies in the field of drug discovery by accessing quantum computers via Amazon Braket service. The solution comes with built-in code for certain drug discovery problems such as molecular docking and protein folding to evaluate experiment values such as cost, time, performance, and more.
Guidance: Protein Folding on AWS
This Guidance helps researchers run a diverse catalog of protein folding and design algorithms on AWS Batch. Knowing the physical structure of proteins is an important part of the drug discovery process.
Featured customers
Using AWS, AstraZeneca builds a cloud-based, efficient, scalable solution that processes genomics sequencing data quickly.
Vertex builds a small-molecule search platform on AWS to spin up the search across billions of molecules, accelerating its research to deliver transformative medicine to patients.
Supported by AWS, AbCellera discovers two antibody treatments, for COVID-19 in a year, breaking records to keep pace with an evolving pandemic.
Featured partner solutions
"The Orion molecular design platform by OpenEye Scientific accelerates early-stage drug discovery for pharmaceutical and biotechnology companies leading to faster and better medicines. OpenEye built on AWS to revolutionize the scale and speed of calculations for drug discovery from rapid 3D screening of billions of molecules to intensive calculations on single molecules."
"Schrödinger is pioneering the next generation of drug discovery, and together with the computing power of AWS, is enabling scientists to rapidly and accurately assess billions of virtual compounds to find the right molecule for the right protein for the right disease."
Featured consulting partners
DataEz is a modulate, scalable, secure, and compliant data analytics platform designed for Life Sciences.
Featured resource
An AWS knowledge graph can help life sciences companies accelerate drug discovery, leveraging molecular, manufacturing, lab, and other datasets.
