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FastROCS

Extremely Fast Shape Similarity Search

Accelerate your virtual screening and lead hopping with FastROCSTM.

Get near-instantaneous results for your virtual screening and lead hopping needs. FastROCS performs precise 3D similarity searches, based on a robust Gaussian-based shape overlap and user-defined chemical features, at speeds similar to those of approximate 2D methods. This unparalleled speed allows you to conduct highly accurate 3D shape and chemical feature similarity calculations on millions of molecules within seconds, offering a distinct advantage for accelerating your discovery efforts beyond traditional 2D approaches.

Our prospective study describes how conceptually simple shape-matching approaches can identify potent and selective compounds by searching ultralarge virtual libraries, demonstrating the applicability of such workflows and their importance in early drug discovery. -- Petrovic et al. (JCIM, 2022)
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FastROCS: Unparalleled Speed in 3D Shape and Chemical Feature Similarity Searching.

Features

  • Get near-instantaneous results. Processes millions to hundreds of millions of conformations per second
  • Returns overlays based on the quality of the 3D shape match against the query
  • Launch jobs and view subsequent results using VIDA desktop visualizer or Orion web interface
  • Overlay results are intuitive and visually informative
  • Reports rigorous Tanimoto or Tversky measure between shapes
  • FastROCS Plus. Seamlessly combine ligand- and structure-based approaches in one step for you

Seamlessly combine 3D ligand- and structure-based screening

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FastROCS™ Plus offers a comprehensive, turnkey solution that integrates 3D ligand- and structure-based screening into a streamlined, automated workflow

Fastrocs Plus provides scientists with a high-performance GPU-accelerated shape-based screening tool designed for rapid, large-scale molecular comparison. Built on the proven ROCS (Rapid Overlay of Chemical Structures) technology, Fastrocs Plus leverages parallel GPU processing to deliver ultra-fast shape and color similarity calculations across millions of compounds in seconds. Ideal for virtual screening campaigns and early-stage drug discovery, it enables researchers to explore chemical space more efficiently, prioritize candidates faster, and make data-driven decisions with confidence. Combining speed, scalability, and precision, Fastrocs Plus delivers better hits; because better hits start with better screening.

Accelerate my Drug Discovery

How Scientists are Using FastROCS

FrankenROCS, a novel shape-based virtual screening pipeline, was developed by teams at UCSF and Relay Therapeutics to address limitations in lead optimization, particularly for SARS-CoV-2 macrodomain inhibitors with poor membrane permeability. This pipeline integrates OpenEye's FastROCS for 3D similarity searching with an active learning algorithm (Thompson sampling).

This methodology enabled the efficient exploration of the 22-billion-molecule Enamine REAL database, overcoming the prohibitive scale of traditional screening. The approach successfully identified submicromolar inhibitors with improved cell permeability and metabolic stability, achieving significant potency gains through fragment linking. This demonstrates a scalable strategy for discovering structurally validated, drug-like candidates from synthesis-on-demand libraries. Link to publication

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"ROCS and its graphics processing unit implementation FastROCS are in- dustry standards that have been applied in many published and unpublished inhibitor discovery efforts over the past 20 years." -- Correy et al. (Sci. Adv., 2025)
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Acceleration of shape searching on the GPU and on Cloud. Boehringer-Ingelheim (BI) successful hit finding search of 1 billion compounds using ROCS took 11 CPU years (or 2 days on 2000 CPU cluster). Today, searching 1 billion compounds on FastROCS takes less than 1 day (4 GPU cluster) or less than 30 minutes on AWS Cloud.

FAQs

How can I access FastROCS?

FastROCS is available both in toolkit form (FastROCS TK) and OpenEye's web based interface (Orion Modeling Platform).

What is the difference between ROCS and FastROCS?

ROCS® is a comprehensive tool for fast shape-based scoring, able to process hundreds of molecules per CPU second.

FastROCS combines state-of-the-art science for shape similarity from ROCS with the latest GPU technology. With FastROCS, you can search virtual libraries of billions of compounds or cluster millions of molecules by shape. Using FastROCS, 3D shape similarity is now as fast as 2D methods.

What additional benefits with FastROCS Plus?

FastROCS Plus extends ability of FastROCS to run on multiple queries with the option to rescore hits using exhaustive shape, docking, or both. FastROCS Plus seamlessly combines ligand- and structure-based approaches in one step for you.

FastROCS and FastROCS Plus - trusted science, extreme speed, and unlimited scale! Find your next drug candidate, faster.

Learn More

OpenEye’s shape searching technology helps you use maximize 3D ligand information to speed up your drug-design process.

WATCH OpenEye’s scientist, Mark McGann, Ph.D., describes the methods behind FastROCS and FastROCS Plus.

 

References

  1. A fast method of molecular shape comparison: A simple application of a Gaussian description of molecular shape Grant, J.A., Gallardo, M.A., Pickup, B., J. Comp. Chem., 1996, 17, 1653.
  2. A shape-based 3-D scaffold hopping method and its application to a bacterial protein-protein interaction Rush, T.S., Grant, J.A., Mosyak, L., Nicholls, A., J. Med. Chem., 2005, 48, 1489.
  3. Comparison of Shape-Matching and Docking as Virtual Screening Tools Hawkins, P.C.D., Skillman, A.G., Nicholls, A., J. Med. Chem., 2007, 50, 74.
  4. Assessment of Scaffold Hopping Efficiency by Use of Molecular Interaction Fingerprints Venhorst, J., Nunez, S., Terpstra, J.W., Kruse, C.G., J. Med. Chem., 2008, 51, 3222.
  5. Multiple protein structures and multiple ligands: effects on the apparent goodness of virtual screening results Sheridan, R.P., McGaughey, G.B., Cornell, W.D., J. Comput. Aided Mol. Des., 2008, 22, 257.
  6. Lessons in Molecular Recognition. 2. Assessing and Improving Cross-Docking Accuracy Sutherland, J.J., Nandigam, R.K., Erickson, J.A., Vieth, M. J. Chem., Inf. Model, 2007, 49, 1715.
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