Implicit Solvent Electrostatics: Continuum Response Benchmark¶
- Task ID:
chemistry.implicit_solvent_pb_gb - Domain:
chemistry - Subdomain:
computational_biophysics - Status:
final - Benchmark set:
seed42(60tasks) - Tags:
implicit_solvent,poisson_boltzmann,generalized_born,biomolecular_electrostatics,finite_difference,binding_energy,multi_case,surface_models,anonymous_contract,private_suite_bank,infinite_generation,rcsb_screening,pdb_redo_hidden_bank,real_biomolecule_families,nonlinear_pb,ses_native_geometry,salt_scan,temperature_scan
Runtime and requirements¶
- Estimated time:
120-240minutes - Python:
>=3.11 - Packages:
numpy>=1.26.0,scipy>=1.11.0,matplotlib>=3.8.0 - GPU required:
no - Network required:
no
Public input and output contract¶
Inputs¶
manifest.json(data): Case manifest containing case order, per-case grids, exact surface-contract metadata, binding-expression metadata, and per-case response parameterssites.csv(data): Per-case entity-annotated atom table with coordinates, charges, radii, and residue labelsvolume_a.npy(data): Per-case float volumetric tensor encoding signed-distance geometry A on the disclosed Cartesian gridvolume_b.npy(data): Per-case float volumetric tensor encoding signed-distance geometry B on the disclosed Cartesian gridqueries.npy(data): Per-case spatial query coordinates for field samplingplane_spec.json(data): Per-case slice-plane definition and storage-order metadata on the case-specific grid
Outputs¶
analysis.py(code): Agent-generated electrostatics analysis scriptresults/summary_metrics.csv(data): Per-case summary metrics with one high-fidelity binding-response estimate, one distinct faster approximate estimate, and their gapresults/field_samples.npy(data): Per-case scalar field values sampled at the provided coordinatesresults/field_slice.npy(data): Per-case 2D field slice on the prescribed planeresults/overview.png(figure): Scientific overview figure comparing the eight curated cases
Public repository files¶
Formal benchmark task directories in the public repository are metadata-only. Versioned prompts and inputs are distributed through the pinned benchmark dataset.
Provenance¶
This task is included in the current seed42 benchmark set at dataset revision f11a199f71fb4b854ac43a1bf548d5df519141a9.
This page is generated only from files tracked in the public ASI-Bench repository at commit f18382f03faf.
Submission bundles, run logs, private scoring configuration, and private reference answers are not read by this page generator.