Pauling puts AMBER-class molecular dynamics in a conversation -- GROMACS on cloud GPUs with automated topology building, ligand parameterization, and MM-PBSA validation, no license fees, no topology debugging. AMBER itself is the most-cited MD package in the literature with excellent force fields, but the full version needs a commercial license, LEaP/tleap setup, and significant expertise to configure correctly.
| Category | Pauling | AMBER |
|---|---|---|
| MD engine | GROMACS (GPU-accelerated, peer-reviewed, widely validated) | pmemd / sander (highly optimized, especially pmemd.cuda for GPU) |
| Force fields | AMBER ff14SB, CHARMM36, OPLS-AA via GROMACS | ff14SB, ff19SB, GAFF2, OL15 -- gold standard for nucleic acids and proteins |
| Licensing | No license required -- pay-per-use cloud compute | AmberTools free; full AMBER (pmemd.cuda) requires commercial license (~$500+) |
| Setup complexity | Conversational: describe the system, Pauling builds topology and runs MD | Manual: tleap/xleap for topology, complex frcmod/lib file management |
| Ligand parameterization | Automatic via ACPYPE -- charges and topology from SMILES or SDF | antechamber + GAFF/GAFF2 -- powerful but manual; AM1-BCC or RESP charge fitting |
| GPU acceleration | Cloud GPUs provisioned on demand -- no hardware management | pmemd.cuda is best-in-class GPU MD performance, but you manage the hardware |
| Cloud infrastructure | Google Cloud Dataflow, auto-scaling, managed storage | No native cloud -- you deploy on HPC or self-managed cloud VMs |
| Free energy methods | MM-PBSA binding energy validation | TI, FEP, MM-PBSA/GBSA -- strongest free energy toolkit in the field |
| Pipeline integration | Docking (UniDock), pocket detection (P2Rank), ADMET, QC -- all integrated | MD-focused; separate tools needed for docking, ADMET, pocket detection |
| Binding energy validation | MM-PBSA integrated into MD workflow with automated analysis | MM-PBSA/GBSA via MMPBSA.py -- powerful but requires manual setup |
| Community & literature | Growing platform with validated physics pipelines | Decades of publications; most-cited MD force fields in drug discovery |
| Cost | Pay-per-use compute, no upfront license | License fee + HPC/GPU hardware costs + sysadmin overhead |