Pauling vs. Gemini Deep Research

Pauling runs real pipelines -- docking, MD, ADMET, binding-energy calculation -- real physics, real results you can take to the lab. Gemini Deep Research is excellent at literature synthesis and scientific reasoning, but it does not dock molecules, run molecular dynamics, or calculate binding energies.

Category Pauling Gemini Deep Research
Molecular dockingUniDock (GPU-accelerated Vina) with ranked poses and scoresCannot execute docking calculations
Molecular dynamicsFull GROMACS MD with checkpoint save/resume, ACPYPE ligand parameterizationCannot run MD simulations
ADMET predictionIntegrated ADMET profiling pipelineCan discuss ADMET properties conceptually, no computation
Virtual screening10M+ compounds via Cloud Dataflow auto-scalingCannot screen compound libraries
Structure validationPoseBusters pose QC + MolProbity structure checksNo structural validation tools
Binding energy calculationMM-PBSA from explicit MD trajectoriesCannot compute binding free energies
Scientific reasoningGuided by quantitative simulation outputsExcellent -- multi-step reasoning across large literature corpora
Multimodal analysisFocused on molecular structures and numerical dataStrong -- can analyze figures, charts, protein images from papers
Actual computationEvery output from real physics-based pipelines on cloud GPUsZero -- text generation only, no molecular software
File format handlingAutomatic PDB, PDBQT, SDF, MOL2, CIF, SMILES conversionCannot parse or manipulate molecular file formats
ReproducibilityFull parameter logging, jobs dashboard, trajectory filesResponses vary per session -- no deterministic computation