Category: Life Sciences

Proteros is a leader in structure-based drug discovery solutions, and supports pharmaceutical, biotechnological, and academic clients with advanced technologies like Cryogenic Electron Microscopy (Cryo-EM) and Protein Crystallography (PX). In this blog post, we’ll explore how Proteros implemented an HPC solution that scales with their scientific ambitions. We’ll talk about how they started with a secure […]

AWS re:Invent 2025 returns to Las Vegas, Nevada on December 1, uniting AWS builders, customers, partners, and IT professionals from across the globe. This year’s event offers you exclusive access to compelling customer stories and insights from AWS leadership as they tackle today’s most critical challenges in high-performance computing, from accelerating scientific discovery to optimizing […]

Streamline your genomic and multiomic data analysis with DRAGEN on Amazon EC2 F2 instances. Our latest blog post explores the performance benefits of this hardware-accelerated solution, helping you unlock insights faster.

In this blog post, we’re excited to share how Novo Nordisk, Columbia University and AWS collaborated to create OpenFold3, a state-of-the-art protein structure prediction model, using cost-effective and scalable bioinformatics solutions on AWS.

In the race to deliver precision medicine, time is of the essence. Caris Life Sciences, a pioneer in this field, leveraged AWS Batch to build a highly scalable solution that processed hundreds of thousands of genomic samples in record time. Discover how they achieved this remarkable feat and the key services that powered their breakthrough.

Cryo-EM data processing just got a major boost! Learn how AWS Parallel Computing Service can help structural biology teams scale their HPC infrastructure and streamline Cryo-EM research. Discover a recommended reference architecture that leverages the power of the cloud.

Genomics community: rejoice! Seqera and AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers.

Check out this post to learn how linter rules for Nextflow’s DSL can help you catch errors in your workflows before runtime, which means greater developer productivity, which leads directly to a faster time to science.

Interested in performing high-accuracy computational chemistry simulations faster? Check out this new post about Promethium, a solution from QC Ware that leverages AWS to accelerate simulations by up to 100x.

Today, we’ll show you our open-source sample implementation of a web frontend and cloud HPC backend to support researchers using AI tools like AlphaFold for drug discovery and design.