XtalPi Leverages AWS to Enhance Drug Discovery
XtalPi, a global leader in AI and robotics drug-discovery technologies, has selected AWS as its strategic cloud provider. The company leverages AWS services to help pharmaceutical companies expedite drug discovery and development. Using Amazon Bedrock, XtalPi's PatSight platform can analyze thousands of compound structures in an hour, achieving over 95% accuracy in patent coverage determination.
The company utilizes multiple AWS services including Amazon Q Developer for software development, Amazon EKS for container deployment, and Amazon SageMaker for machine learning model creation. Through AWS's solutions, XtalPi has reduced operational and maintenance costs by more than 50% while enhancing research efficiency.
XtalPi, un leader globale nelle tecnologie di scoperta di farmaci basate su AI e robotica, ha selezionato AWS come suo fornitore di cloud strategico. L'azienda sfrutta i servizi AWS per aiutare le aziende farmaceutiche ad accelerare la scoperta e lo sviluppo di nuovi farmaci. Utilizzando Amazon Bedrock, la piattaforma PatSight di XtalPi può analizzare migliaia di strutture di composti in un'ora, raggiungendo oltre il 95% di precisione nella determinazione della copertura brevettuale.
L'azienda utilizza diversi servizi AWS, tra cui Amazon Q Developer per lo sviluppo software, Amazon EKS per il deployment di container, e Amazon SageMaker per la creazione di modelli di machine learning. Grazie alle soluzioni di AWS, XtalPi ha ridotto i costi operativi e di manutenzione di oltre il 50% migliorando al contempo l'efficienza della ricerca.
XtalPi, un líder global en tecnologías de descubrimiento de fármacos basadas en IA y robótica, ha seleccionado AWS como su proveedor de nube estratégico. La empresa aprovecha los servicios de AWS para ayudar a las compañías farmacéuticas a acelerar el descubrimiento y desarrollo de medicamentos. Usando Amazon Bedrock, la plataforma PatSight de XtalPi puede analizar miles de estructuras de compuestos en una hora, logrando más del 95% de precisión en la determinación de la cobertura de patentes.
La empresa utiliza múltiples servicios de AWS, incluyendo Amazon Q Developer para el desarrollo de software, Amazon EKS para el despliegue de contenedores, y Amazon SageMaker para la creación de modelos de aprendizaje automático. A través de las soluciones de AWS, XtalPi ha reducido los costos operativos y de mantenimiento en más del 50% mientras mejora la eficiencia de la investigación.
XtalPi는 AI 및 로봇 공학 기반의 글로벌 약물 발견 기술 분야의 선두 기업으로, AWS를 전략적 클라우드 공급업체로 선택했습니다. 이 회사는 AWS 서비스를 활용하여 제약 회사가 약물 발견 및 개발을 가속화하도록 돕고 있습니다. Amazon Bedrock을 사용하여 XtalPi의 PatSight 플랫폼은 한 시간 내에 수천 개의 화합물 구조를 분석할 수 있으며, 특허 커버리지 결정에서 95% 이상의 정확도를 달성합니다.
회사는 Amazon Q Developer를 소프트웨어 개발에, Amazon EKS를 컨테이너 배포에, Amazon SageMaker를 머신러닝 모델 생성에 다수의 AWS 서비스를 사용하고 있습니다. AWS의 솔루션을 통해 XtalPi는 운영 및 유지 비용을 50% 이상 절감하면서 연구 효율성을 향상시켰습니다.
XtalPi, un leader mondial dans les technologies de découverte de médicaments basées sur l'IA et la robotique, a sélectionné AWS comme son fournisseur de cloud stratégique. L'entreprise utilise les services d'AWS pour aider les entreprises pharmaceutiques à accélérer la découverte et le développement de médicaments. En utilisant Amazon Bedrock, la plateforme PatSight de XtalPi peut analyser des milliers de structures de composés en une heure, atteignant plus de 95% de précision dans la détermination de la couverture des brevets.
L'entreprise utilise plusieurs services AWS, notamment Amazon Q Developer pour le développement logiciel, Amazon EKS pour le déploiement de conteneurs et Amazon SageMaker pour la création de modèles d'apprentissage automatique. Grâce aux solutions d'AWS, XtalPi a réduit les coûts opérationnels et de maintenance de plus de 50% tout en améliorant l'efficacité de la recherche.
XtalPi, ein globaler Marktführer in der KI- und Robotiktechnologie zur Medikamentenentdeckung, hat AWS als seinen strategischen Cloud-Anbieter ausgewählt. Das Unternehmen nutzt AWS-Dienste, um Pharmaunternehmen dabei zu helfen, die Medikamentenentdeckung und -entwicklung zu beschleunigen. Mit Amazon Bedrock kann die PatSight-Plattform von XtalPi innerhalb einer Stunde Tausende von Strukturformeln analysieren und erreicht dabei über 95% Genauigkeit bei der Bestimmung der Patentabdeckung.
Das Unternehmen verwendet mehrere AWS-Dienste, darunter Amazon Q Developer für die Softwareentwicklung, Amazon EKS für die Bereitstellung von Containern und Amazon SageMaker zur Erstellung von Machine-Learning-Modellen. Durch die Lösungen von AWS hat XtalPi die Betriebs- und Wartungskosten um mehr als 50% gesenkt und gleichzeitig die Forschungseffizienz verbessert.
- Operational and maintenance costs reduced by over 50%
- PatSight platform achieves 95% accuracy in patent analysis
- Analysis time reduced from weeks to hours for compound structures
- Partnership with 16 of top 20 global pharmaceutical companies
- None.
Insights
The collaboration between XtalPi and AWS represents a significant advancement in AI-driven drug discovery technology. The implementation of Amazon Bedrock has dramatically improved efficiency, reducing analysis time from weeks to hours with
The cost optimization through EC2 Spot Instances achieving over
This partnership marks a substantial leap forward in pharmaceutical research efficiency. The integration of quantum physics, computational chemistry and AI through AWS's infrastructure enables rapid screening of drug candidates and molecular design optimization. The PatSight platform's ability to analyze thousands of compound structures efficiently will likely accelerate the drug discovery pipeline significantly.
The collaboration with 16 of the top 20 pharmaceutical companies indicates strong industry adoption and validation of this technology. This could potentially revolutionize the traditional drug discovery process, reducing both time and costs while improving success rates in developing new therapeutic compounds.
Global leader in AI and robotics drug-discovery technologies selects AWS as its cloud provider
XtalPi uses generative AI to enable faster and more cost-efficient research, data mining, and analysis
(Graphic: Business Wire)
Using Amazon Bedrock to pinpoint promising areas for drug research
XtalPi offers a suite of computational tools and platforms to advance pharmaceutical and new-materials research. Combining quantum physics, computational chemistry, and AI, XtalPi empowers scientists to efficiently explore areas for the design and rapid screening of molecules with desired properties and functions. Most recently, XtalPi developed and launched PatSight, a patent data-mining and analysis platform, in collaboration with International Digital Economy Academy (IDEA). Using Amazon Bedrock, PatSight analyzes thousands of compound structures and key properties in an hour versus manual processes that can take several weeks. Anthropic Claude 3 Opus provides contextual understanding and textual range of 200,000 tokens (about 150,000 words or 500 pages of text), enabling PatSight to achieve more than
“AWS’s flexible, secure, and scalable approach to generative AI makes it easy to create solutions that enhance drug development and speed the delivery of successful treatment approaches,” said Yongpan Chen, head of the Digitalization Department at XtalPi. “With industry-leading security and compliance practices, AWS empowers XtalPi to continuously enhance the capability of our platforms as our business continues to expand. We look forward to deepening our collaboration with AWS to apply cloud technologies and power digital transformation in life sciences and materials science on a broader scale.”
Rapidly delivering new features with Amazon Q
XtalPi's software developers use Amazon Q Developer, a generative AI assistant for software development, to help its IT teams quickly transform code, generate suggestions, optimize performance, and conduct vulnerability scans, significantly enhancing Java development and enabling greater focus on application innovation. Additionally, Amazon Q Developer's customization features help XtalPi developers to integrate it with enterprise system data, creating a knowledge base of reusable code, which leads to better code suggestions and faster application deployment.
Enhancing efficiency and the success rate of drug discovery with Amazon SageMaker
XtalPi uses Amazon Elastic Kubernetes Service (Amazon EKS), a managed service to run Kubernetes, to simplify container deployment and scaling while reducing costs and improving resource efficiency. XtalPi also leverages Amazon EC2 Spot Instances, which offer compute capacity at up to a
“AWS’s security and scalability allow XtalPi to develop cloud-based platforms that enhance the efficiency of drug research for leading pharmaceutical companies worldwide,” said Deepak Nair, director, Healthcare and Life Sciences at AWS. “AI-driven workflows are poised to transform the rate at which we can move through the drug-discovery process, driving new therapy breakthroughs with lower development costs and faster delivery of lifesaving treatments.”
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