OpenFE
Open Free Energy Consortium (15+ pharma companies)
Open-source RBFE framework. 2025 benchmark across 1,700+ ligands from 15 pharma companies showed out-of-the-box accuracy approaching FEP+.
Best For
Cost-effective alternative to commercial FEP+ for binding free energy calculations
License
Open Source (MIT)
Strengths
- +MIT license
- +15-company validation
- +Production-ready per 2025 benchmark
Limitations
- −Gap remains vs. manually optimized FEP+
- −Infrastructure overhead
R&D Pipeline Coverage
Related Tools
Desmond / FEP+
D.E. Shaw Research / Schrödinger
GPU-accelerated MD engine integrated with Schrödinger's platform. FEP+ is the industry gold standard for relative binding free energy predictions in lead optimization.
AMBER 24
AMBER Consortium (UCSF et al.)
MD suite with best-in-class GPU acceleration (pmemd.cuda) and strong force field ecosystem. Now includes NNP integration via DeePMD-GNN.
More in MD & Simulation
GROMACS 2026
GROMACS Consortium (KTH, Max Planck, et al.)
High-performance all-atom and coarse-grained MD engine. GROMACS 2026 added native NNP/MM support for hybrid ML-classical simulations.
OpenMM 8.5
Stanford / OpenMM Community
Python-first MD framework with native ML potential API (openmm-ml). Wraps MACE, NequIP, AceFF, and other ML force fields directly.
AMBER 24
AMBER Consortium (UCSF et al.)
MD suite with best-in-class GPU acceleration (pmemd.cuda) and strong force field ecosystem. Now includes NNP integration via DeePMD-GNN.
Stay updated on OpenFE
Weekly newsletter covering AI tool releases, benchmarks, and what practitioners actually use.