Introducing AceCloud

AceCloud is our new cloud computing service for molecular simulations. Welcome to the future.

New Metrocubo

Metrocubo delivers the highest TFLOPs per dollar ratio in a compact, fully-tested package that includes our patent-pending GPU chassis build for GPUs.

In-Silico Binding Assays

Complete characterization of protein-ligand binding interactions at all-atom resolution. Obtain binding poses, kinetics, binding affinity and binding pathway.

Recent Use Cases

Presentación1
Insights from Frangment Hit Binding Assays by Molecular Simulations

Original article published on the Journal of Chemical Information and Modeling. Researchers used

Figure 2 / Sadiq SK et al. PNAS (2012)
Kinetic characterization of the critical step in HIV-1 protease maturation

Original article published on PNAS. Researchers used MD simulations to capture the critical

Figure 1 Wright et al. JACS (2012)
Thumbs Down for HIV: Domain Level Rearrangements Do Occur in the NNRTI-Bound HIV‐1 Reverse Transcriptase

Original article published on JACS. Researchers at UCL and UPF could confirm that


Testimonials

  • ACEMD has provided a significant boost in performance, even a single GPU card out performs several hundred CPU-cores. With 10 cards we can easily generate microsecond level sampling in a few days.
    P. K. Agarwal, Ph.D., ORNL
  • ACEMD is an admirable molecular dynamics tool that clearly holds its promises.
    L. Gauthier, Ph.D., Sanofi
  • We recently used ACEMD to solve protein interaction problems based on solution NMR data. Acellera and ACEMD afforded us a straightforward new tool based on its amazing MD engine performance capable to exploit fully the latest GPU hardwares. It can be easily plugged to extra codes for a maximal versatility and no doubts remains on its usefulness for an atomic scale interpretation of biomolecular NMR data and its specific spectroscopic time-scales.
    O. Walker, Ph.D. and JM. Lancelin, Ph.D., University of Lyon
  • ACEMD is without any doubt a versatile program that exploit the full potential of Molecular Dynamics simulations, using cost-effective hardware solutions, that can be adapted to every Molecular Modeling laboratory needs. We were able to implement personalized code that allowed us to investigate ligand-receptor recognition pathway in a reduced time-scale and to investigate ligand-receptor interactions at the atomistic level thus facilitating the development of drug candidates with more favorable pharmacodynamic profiles.
    D. Sabbadin, Ph.D., University of Padova
  • My impression is good since the beginning, in a workstation with 4 GPUs we have the power of a small supercomputer.
    M. Ceccarelli, Ph.D., University of Cagliari