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SettingsResearch demo · not for clinical or commercial use
Corollary
  1. Catalog

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Find the model or dataset for the question you have.

Ask in plain language and we will work out where the answer lives — or filter the index yourself. Almost everything here runs on our servers, from this page, with no setup.

Models
300
Datasets
248
Organisations
131

Labs, institutes and companies

Ready to run
21

Including 6 that run free and instantly

Looking for a particular value, not a particular dataset?Search schemas, rows and column statistics inside the data itself.

Things that work

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195 entries in Chemistry

Showing 48 of 195

Ready to run

6
InstantModel

Molecular Property Calculator

Corollary Labs

Lipinski, Veber and lead-likeness descriptors computed from SMILES — instantly, free.

property calculation
ReadyModel

BioMedGPT-R1

PharMolix / OpenBioMed

Reasoning-capable biomedical LLM with chain-of-thought over molecules.

chat
ReadyModel

DiffDock

MIT / Barzilay Lab

Diffusion docking: 38% top-1 success versus 23% for classical AutoDock.

molecular docking
ReadyModel

Galactica

Meta AI

Scientific LLM retained as a domain-knowledge evaluation baseline only.

evaluation baseline
ReadyModel

MolFormer

IBM Research

SMILES transformer pre-trained on 1.1 billion molecules.

property prediction
ReadyModel

MolMIM

NVIDIA BioNeMo

Controlled molecule generation in a well-behaved latent space.

molecular generation

Everything else indexed

42
ADMET-AISwanson et al., Stanford52 ADMET endpoints in one call — hERG, BBB, CYP, clearance, solubility, Tox21.admetOn demand
AIFS Single 1.0ecmwfFirst 1.0 release of the deterministic AIFS — graph-based global weather forecasting model from ECMWF on the Anemoi framework.forecastingOn demand
AIMNet2 (B97-3c, 2025)isayevlabAIMNet2 retrained at the B97-3c level of theory — 2025 release with improved coverage and accuracy.property predictionOn demand
AIMNet2 ωB97M-D3isayevlabNeural network interatomic potential for fast and accurate molecular simulations, trained at the ωB97M-D3 level of theory.property predictionOn demand
AIMNet2-NSEisayevlabAIMNet2 specialised for open-shell chemistry (radicals, transition states) — neural network interatomic potential for non-singlet electronic states.property predictionOn demand
AIMNet2-PdisayevlabAIMNet2 specialised for palladium-containing organometallic systems — supports homogeneous catalysis simulation at near-DFT accuracy.property predictionOn demand
AIMNet2-rxnisayevlabAIMNet2 trained on reaction data — neural-network interatomic potential supporting reactive molecular simulations.property predictionOn demand
AutoDock VinaScripps ResearchThe docking engine every other docking paper compares itself against.molecular dockingOn demand
BioCLIP 2imageomicsOpenCLIP-based foundation model for organismal biology — zero-shot species classification from photographs across the tree of life, trained on TreeOfLife-200M.zero-shot-image-classificationOn demand
Chemprop D-MPNN — toxicity panelSwanson et al., Stanford · Chemprop, MITThe toxicity half of the ADMET panel: Ames, hERG, DILI, ClinTox, LD50 and all twelve Tox21 assays.toxicityOn demand
DoctoBERT-fr-basedoctolib-labFrench medical encoder (RoBERTa, 111M params, 512-token context) pretrained from scratch on FineMed-fr — state-of-the-art on DrBenchmark, leading five of seven tasks across French and English medical encoder families.fill-maskOn demand
DoctoModernBERT-fr-basedoctolib-labFrench medical encoder (ModernBERT, 149M params, up to 8,192-token context) pretrained from scratch on FineMed-fr — best on real-world clinical NER and top-ranked on DrBenchmark.fill-maskOn demand
FlashPPItattabioFast protein-protein interaction prediction model — trained for high-throughput screening of interaction networks.feature-extractionOn demand
GENA-LM BERT base (T2T)AIRI-InstituteBERT-base-style genomic foundation model trained on T2T assemblies — lighter-weight backbone for genomic sequence understanding.fill-maskOn demand
GENA-LM BERT large (T2T)AIRI-InstituteBERT-large-style genomic foundation model trained on telomere-to-telomere human assemblies — supports variant interpretation, regulatory prediction, and downstream genomic tasks.fill-maskOn demand
gLM2 650Mtattabio650M-parameter genomic foundation model from Tatta Bio — trained on the OMG open-mixed-genomes corpus for sequence-level biological reasoning.fill-maskOn demand
Indus SDE v0.2nasa-impactScience domain extraction model for identifying and classifying scientific concepts, variables, and entities from geoscience and atmospheric science text.fill-maskOn demand
MACE-MP-0mace-foundationsMACE foundation model trained on the Materials Project — equivariant message-passing potential for inorganic crystal simulation across most of the periodic table.property predictionOn demand
MACE-MPA-0mace-foundationsMACE foundation model trained on the Materials Project + Alexandria datasets — broader coverage variant for inorganic-materials simulation.property predictionOn demand
MAMMALIBM ResearchTask-specific predictions for binding affinity, blood–brain barrier permeability, and protein solubility.multi taskOn demand
MIST 1.8B · ⟨R²⟩mist-modelsMIST 1.8B fine-tuned for electronic spatial extent from QM9.feature-extractionOn demand
MIST 1.8B · BACEmist-modelsMIST 1.8B fine-tuned on BACE — Alzheimer-target inhibition classification.feature-extractionOn demand
MIST 1.8B · BBBPmist-modelsMIST 1.8B fine-tuned on BBBP — blood-brain-barrier permeability.feature-extractionOn demand
MIST 1.8B · ClinToxmist-modelsMIST 1.8B fine-tuned on ClinTox — clinical toxicity classification.feature-extractionOn demand
MIST 1.8B · Cvmist-modelsMIST 1.8B fine-tuned for heat capacity Cv from QM9.feature-extractionOn demand
MIST 1.8B · ESOLmist-modelsMIST 1.8B fine-tuned on ESOL — aqueous solubility regression.feature-extractionOn demand
MIST 1.8B · FreeSolvmist-modelsMIST 1.8B fine-tuned on FreeSolv — hydration free-energy regression.feature-extractionOn demand
MIST 1.8B · G298mist-modelsMIST 1.8B fine-tuned for G298 — Gibbs free energy at 298 K from QM9.feature-extractionOn demand
MIST 1.8B · H298mist-modelsMIST 1.8B fine-tuned for H298 — enthalpy at 298 K from QM9.feature-extractionOn demand
MIST 1.8B · HIVmist-modelsMIST 1.8B fine-tuned on HIV — anti-HIV activity classification.feature-extractionOn demand
MIST 1.8B · HOMOmist-modelsMIST 1.8B fine-tuned for HOMO energy from QM9.feature-extractionOn demand
MIST 1.8B · HOMO-LUMO gapmist-modelsMIST 1.8B fine-tuned for HOMO-LUMO gap from QM9.feature-extractionOn demand
MIST 1.8B · Lipomist-modelsMIST 1.8B fine-tuned on Lipophilicity — large-scale logD prediction.feature-extractionOn demand
MIST 1.8B · LUMOmist-modelsMIST 1.8B fine-tuned for LUMO energy from QM9.feature-extractionOn demand
MIST 1.8B · QM8mist-modelsMIST 1.8B fine-tuned on QM8 — electronic-spectra prediction at scale.feature-extractionOn demand
MIST 1.8B · SIDERmist-modelsMIST 1.8B fine-tuned on SIDER — side-effect prediction.feature-extractionOn demand
MIST 1.8B · Tox21mist-modelsMIST 1.8B fine-tuned on Tox21 — large-scale toxicity classification across nuclear-receptor and stress assays.feature-extractionOn demand
MIST 1.8B · U0mist-modelsMIST 1.8B fine-tuned for U0 — internal energy at 0 K from QM9.feature-extractionOn demand
MIST 1.8B · U298mist-modelsMIST 1.8B fine-tuned for U298 — internal energy at 298 K from QM9.feature-extractionOn demand
MIST 1.8B · ZPVEmist-modelsMIST 1.8B fine-tuned for zero-point vibrational energy from QM9.feature-extractionOn demand
MIST 1.8B · α (polarizability)mist-modelsMIST 1.8B fine-tuned for isotropic polarizability from QM9.feature-extractionOn demand
MIST 1.8B · μ (dipole)mist-modelsMIST 1.8B fine-tuned for dipole moment from QM9.feature-extractionOn demand

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