For years, computationally driven drug discovery has faced two bottlenecks at once: accuracy and scale. It’s not enough to run one good calculation. Scientists need results they can stake real decisions on, and they need them across a chemical space far too vast for any wet lab to explore by hand. Physics-based approaches deliver the
Summary When drug discovery scientists need custom computational tools, manual deployment shouldn’t be the bottleneck. Discover how Schrödinger’s engineering team built an automated GitOps pipeline that reduced deployment time from days to minutes, enabling seamless collaboration with customers like AstraZeneca. Schrödinger’s LiveDesign enterprise informatics platform serves as the digital “central station” for collaborative drug design.
新型コロナウイルス感染症（COVID-19）が世界的なパンデミックとして出現した際、世界は前例のないスピードでワクチンと治療薬の開発・供給に尽力しました。この偉業は何百万もの命を救い、世界的な科学協力の力を証明しました。しかし、SARS-CoV-2ウイルスは進化を続けており、パンデミックを引き起こす可能性のある他のコロナウイルスも依然として懸念材料となっています。
When COVID-19 emerged as a global pandemic, the world mobilized to deliver vaccines and treatments at unprecedented speed. This massive achievement saved millions of lives and demonstrated the power of global scientific collaboration. However, SARS-CoV-2 continues to evolve, and other coronaviruses with pandemic potential remain a concern.
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