Extraordinary Results for Computational Chemists
Our customers’ success is at the core of our DNA. From freelance computational chemists to drug design organizations of all sizes, GridMarkets Pharma empowers pharmaceutical innovators worldwide to solve even the most complex drug discovery projects faster and at a lower cost.
But don’t just take our word for it – read what our user community is saying about GridMarkets Pharma’s scalable, budget-friendly, high performance cloud computing molecular simulations and virtual screens solutions.
What our Customers are Saying
“In a few minutes we easily docked over 2,000 compounds in MOE with GridMarkets' secure cloud.”
— Ivan Franzoni PhD
Computational Chemist, Sr. Scientist
“Distributed computing is GridMarkets' greatest value. I can run multiple, single-CPU jobs without using local MOE licenses or impact to my local MOE session.”
— Matt L.
“It typically takes 20 days to locally process 509 PROTACs with 1.3 million possible ternary complex combinations. With GridMarkets these simulations were accelerated to 3 days!”
— Michael D., PhD
Scientific Applications Manager
“GridMarkets' platform enables us to show how modifications improve protein therapeutic behavior using realistic, aesthetic animations.”
— Russ L., PhD
President & Founder
“GridMarkets is leading the transformation of how computational chemists work. The Envoy plug-in enables democratized HPC access to spin up a project on 100s of cloud-based CPUs.”
— David L.
Sr. Director of Structural Chemistry
“GridMarkets platform is amazing! Very fast speed and an easy-to-use plug-in.”
— Tien N., PhD
Computational Aided Drug Design
Amber, antibody design, bioinformatics, biologics design, Chemical Computing Group, NuChem Sciences, cloud molecular modeling simulation dynamics, cheminformatics, grid computing, high performance cloud computing, computational chemistry, computer aided molecular design, docking, drug discovery, GROMACS, MOE, NAMD, QuantumBio, research, molecular modeler, virtual ligand screening, molecular dynamic simulations in the cloud, peptide modeling, small molecules