Drug Discovery

Tap into the Latest Advances in Drug Research with AI and Accelerated Computing

From searching a seemingly endless molecule database to simulating how these molecules interact with the human body’s complex biochemistry, NVIDIA-powered solutions enable pharmaceutical companies to improve analysis, efficiency, and scalability.

 

New Approaches to Drug Design and Development

Drug Discovery eBook

Reimagining Drug Discovery with Computational Biology

New drugs are increasingly expensive to bring to market. Learn how AI and accelerated computing are improving every phase of drug discovery with faster, more accurate insights.

Transformer Neural Networks in Drug Discovery

Transformer Neural Networks Accelerate Drug Discovery

From top industry challenges and use cases to applications for fighting COVID-19, this IDC Perspective highlights everything you need to know about the growing importance of neural networks in drug discovery.

GPU-Powered Summit Supercomputer & AutoDock

Two Billion Simulations in 24 Hours

Using the GPU-powered Summit supercomputer and AutoDock, Oak Ridge National Laboratory researchers conduct years’ worth of COVID-19 research in hours.

NVIDIA GPUs on Azure

Researchers Seek Atomic Keys to Lock Down COVID-19

Using NVIDIA GPUs on Azure, UC Riverside studies quantum forces to determine the likelihood a virus will bind with a ligand, speeding the work of pharmaceutical companies seeking treatments.

NVIDIA’s Scientific Computing Platform to Fight the Global Pandemic

Cheaper, Faster Preclinical Drug Discovery

Schrödinger, using its GPU-powered platform, helps pharmaceutical companies improve the speed and accuracy of drug discovery efforts.

Computational Chemistry at GTC Digital

Computational Chemistry at GTC

At GTC, researchers from institutions like Lawrence Argonne National Labs and Schrödinger share their latest research in applying AI and HPC to various areas of drug discovery.

Latest Drug Discovery Webinars

AI Powered Computational Chemistry are Playing Key Roles in the Fight Against COVID-19

GPU-Accelerated Drug Discovery Methods and Applications

In this webinar, learn how molecular dynamics simulations and AI-powered computational chemistry are playing key roles in the fight against COVID-19, providing atomic-scale insights to viral mechanisms, including virus-to-cell fusion, viral protein function, and ultimately possible therapeutics.

NVIDIA DGX A100

Supercharging COVID-19 Research with DGX A100

Argonne National Labs, as part of the COVID-19 HPC Consortium and the first to purchase NVIDIA DGX A100 in May of this year, is using their system to help researchers explore COVID-19 treatments, vaccines, and the spread of the virus.

Learn about the progress achieved by Argonne National Labs and how other consortium GPU-accelerated systems are being used in several research projects.

Solutions for Every Phase of Drug Research

NVIDIA Clara Discovery, a GPU-accelerated computational drug discovery platform, combines AI, data analytics, simulation, and visualization to support cross-disciplinary workflows in drug design and development. Using Clara Discovery, researchers can apply high performance computing applications, pre-trained AI models and domain specific application frameworks in the areas of genomics, protein structure determination, virtual drug screening, medical imaging, natural language processing, and more.

High Performance GPU Accelerated Applications

NVIDIA Partners Offering Validated Solutions

Explore our NVIDIA Partner Network (NPN) partners who have enterprise-grade, production-ready, GPU-optimized applications that have been tested and validated for performance by NVIDIA.

NVIDIA Partners Offering Validated Solutions

Explore our NVIDIA Partner Network (NPN) partners who have enterprise-grade, production-ready, GPU-optimized applications that have been tested and validated for performance by NVIDIA.

Vyasa logo

Clinical Trial Protocol Assessment and Business Intelligence

Using NVIDIA AI, Vyasa’s smart table technology, Synapse, automatically applies deep learning-powered text analytics to extract insights from clinical trial PDF documents into an easy-to-navigate spreadsheet. Within milliseconds, AI finds structured data within unstructured documents by answering questions that relate to the dataset being analyzed with more than 97 percent query accuracy. Instead of 10 days to manually ingest tens of thousands of data points, Vyasa decreases analysis time by 90 percent, down to one day.

Schrodinger logo

Predicting Chemical Properties at Experimental Accuracy

Schrödinger’s advanced computational platform, powered by NVIDIA GPUs, for drug design and discovery combines physics-based modeling with machine learning to quickly and accurately evaluate billions of molecules to accelerate drug discovery. Major pharmaceutical and biotech companies use Schrödinger’s platform for preclinical drug discovery to explore vast chemical space to identify high-quality, novel molecules more rapidly and at a lower cost compared to traditional methods.

Stay Up to Date with the Latest Drug Discovery News from NVIDIA