SOLUTIONS — FLUX PHARMACOLOGY

Pharmacology, computed from first principles.

FluxMateria's Flux Pharmacology engine doesn't score molecules with a trained model. It composes a drug's behavior step by step — identity, exposure, entry, transport, distribution, stability, target binding, mechanism, downstream effect, timecourse — from a single geometric axiom. Every endpoint emerges from the same physical cascade, with full mechanism attribution and zero fitted parameters.

5 of 8
ADMET endpoints at public-benchmark SOTA
8 / 8
modes of binding physics operational
~260
targets in the repurposing panel
Zero
parameters fitted to assay data
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What is Flux Pharmacology?

A physics-ordered cascade that computes a drug's behavior the way the body actually encounters it.

Every endpoint a discovery team cares about — absorption, clearance, hepatic safety, binding affinity, selectivity, off-target risk — is a consequence of the same underlying physical events happening in sequence. Flux Pharmacology models that sequence explicitly. Each stage is a deterministic calculation from molecular geometry; each subsequent stage consumes the output of the previous. The result is a coherent, mechanism-attributed prediction across every endpoint, from one input.

STAGE 1

Identity & exposure

What the molecule actually is in vivo: protonation state, tautomer, stereochemistry, and the dose-to-exposure relationship that sets every downstream concentration.

STAGE 2

Where it goes

Passive permeability, active uptake and efflux (OATP1B1/1B3, BCRP, BSEP, P-gp), and the partition across compartments that determines what concentration each tissue actually sees.

STAGE 3

How long it stays

Phase-I and Phase-II stability, intrinsic clearance, reactive-metabolite alerts, and a mechanism-aware CYP isoform panel — feeding the timecourse and the hepatic safety profile.

STAGE 4

What it touches

The target's interaction surface as a physical ensemble, not a static crystal pose — and the mode of binding through which the molecule actually engages it.

STAGE 5

What happens next

Downstream mechanism — activation, inhibition, displacement, degradation, allosteric coupling — and the functional readout that turns binding into a measured response.

STAGE 6

What you can defend

Calibrated uncertainty per endpoint, a structured explanation report, and an audit-grade record that traces every prediction back to the physical events that produced it.

Why this matters. Conventional ADMET, docking, and selectivity tools are stitched together from a 4–6-vendor stack — each endpoint trained on a different dataset, each output schema different, each chemical-space coverage different. Flux Pharmacology replaces that stack with one cascade: one input molecule, one physical model, all endpoints, consistent uncertainty, full mechanism trace.

Eight modes of binding physics

Real drugs don't all engage their targets the same way. Flux Pharmacology models all eight.

A kinase inhibitor occupying an ATP pocket, a molecular glue inducing a new protein-protein interface, a guanine-quadruplex stabiliser, an amyloid-aggregation modulator — these are not the same physical event. Modeling them with one trained scoring function papers over the differences. Flux Pharmacology dispatches each molecule×target pair to the mode of binding that actually describes the interaction, then composes the resulting physics.

Pocket-bound binding

Classical small-molecule–protein engagement — the ATP pocket, the orthosteric site, the allosteric cleft. The deepest-validated mode in the platform.

Protein–protein interface disruption

Surface-PPI inhibitors that block large, flat interaction interfaces — the historically “undruggable” class.

Targeted protein degradation

Molecular glues and PROTACs that induce a ternary complex with an E3 ligase, leading to ubiquitination and proteasomal degradation.

Nucleic-acid binding

DNA, RNA, and G-quadruplex engagement — minor-groove binders, intercalators, splice modulators, RNA-targeting therapeutics.

Biomolecular condensates

Partitioning into membraneless organelles and condensate phases — an emerging mechanism for nuclear transcription factors and stress granules.

Amyloid & aggregate modulation

Engagement with fibril, oligomer, and aggregate states — the physics of neurodegenerative-disease therapeutics.

Membrane-active mechanisms

Molecules whose primary target is the lipid bilayer itself — antimicrobial peptides, ionophores, certain antifungals and antiparasitics.

Glycan & carbohydrate engagement

Carbohydrate-recognition interactions — lectin binding, viral-attachment inhibitors, glycan-mediated cell-surface targeting.

Pocket-bound binding is the deepest-validated mode today; the remaining seven are operational with deliberate scope caps and per-mode uncertainty so users can tell the difference.

Target families covered

Family-specific physics adapters so the cascade resolves correctly across target classes — not one trained model for everything.

Nuclear receptors

PXR, AR, ER, GR, PPAR, RAR — physics-resolved ligand-binding-domain activation with full agonist/antagonist/inverse-agonist distinction.

Kinases (~70)

ATP-pocket and allosteric inhibitors across tyrosine, serine/threonine, and dual-specificity families — with DFG state and gatekeeper-residue physics.

Ion channels

Voltage- and ligand-gated channels with state-dependent binding — including a mechanism-aware hERG liability adapter at production readiness.

GPCRs (~160 across 5 subfamilies)

Aminergic, cannabinoid, purinergic, peptide-binding, and lipid-binding receptors — agonist/antagonist/biased-ligand resolution.

Catalytic enzymes

Cysteine proteases, coagulation factors, zinc metalloenzymes (including HDAC1–11), and heme dioxygenases — covalent and non-covalent inhibition.

Epigenetic readers

BRD-family bromodomains, EP300, CREBBP — acetyl-lysine recognition with conserved physics across the family.

Transporters

OATP1B1, OATP1B3, BCRP, BSEP, P-gp — substrate and inhibitor liability inferred from the same physics that drives distribution and clearance.

Cytochromes-as-targets

Direct CYP inhibition and time-dependent inhibition resolved through the same heme/isoform physics used for metabolism prediction.

Aspartyl proteases

Catalytic-dyad protease physics — HIV protease, BACE1, renin, and viral main-protease targets.

Structural proteins

Tubulin and actin binders — the physics of taxanes, vinca alkaloids, and actin-disrupting cytotoxic warheads.

Lysine demethylases

LSD1 (flavin-dependent) and the JmjC family (iron/α-ketoglutarate-dependent) — two distinct catalytic mechanisms, both modeled explicitly.

Cross-target intelligence, out of the box

Because every target shares the same cascade, polypharmacology stops being a separate model and becomes a panel call.

Selectivity panel

Score one molecule across every target class FluxMateria covers — intended target, related family members, off-target liabilities, anti-targets, safety-critical proteins — in one call. Returns a ranked binding profile with per-target uncertainty and integrated safety flags (hERG, CYP inhibition, transporter risk).

Used in lead-optimisation cycles to catch cross-reactivity before it surfaces in a tox study.

Repurposing panel (~260 targets)

Drop in any approved drug, tool compound, or natural product. Get back a ranked off-target engagement profile across ~260 targets spanning kinases, GPCRs, nuclear receptors, ion channels, transporters, and catalytic enzymes — with mechanism attribution for every hit.

Built for indication-expansion programs, mechanism-of-action discovery, and adverse-event hypothesis generation.

Proof on public benchmarks

Five of eight ADMET endpoints are at public-benchmark state-of-the-art. Three are strict #1 on the published leaderboards. Every number is pure physics — zero parameters fitted to assay data.

0.06
Solubility logS MAE
#1 SOTA — strict
0.692
Metabolism Spearman
#1 SOTA — strict
3.65%
PPB HIGH-tier MAE
#1 SOTA — strict
0.9597
DILI AUROC (TDC binary)
SOTA-tier + mechanism
0.277
Caco-2 MAE (TDC scaffold-stratified)
Matches public reference SOTA (0.276)

And binding: Pearson r = 0.772 on the CASF-2016 docking benchmark across diverse target classes — pure physics, no scoring-function training.

Three remaining ADMET endpoints (BBB, hERG, the secondary permeability tier) are in the high-accuracy class but not yet at the public-leaderboard top — we publish those numbers as openly as the SOTA ones.

Full ADMET benchmarks → Unified-pipeline case study →

Readiness today

The cascade is fully wired and all eight modes of binding physics run end-to-end — but not every capability has the same level of public-benchmark validation behind it. Here is the gradient, so you can tell the difference.

We tier every capability against the same standard: Validated means published numbers against a public benchmark or a curated leave-one-out panel. In pilot means the cascade runs end-to-end and produces structured output, with validation in progress on customer or held-back datasets. In development means the code path is operational with deliberate scope caps and per-prediction uncertainty so the engine flags where it is leaning on the prototype tier.

VALIDATED — SHIPS TODAY

Published benchmark accuracy

Use as primary screening criterion.

Published numbers against public leaderboards or curated leave-one-out panels of 14K+ compounds.

  • 5 of 8 ADMET endpoints at public-benchmark SOTA: Solubility, Metabolism, PPB strict #1; DILI AUROC 0.9597 on the comparable TDC binary task; Caco-2 MAE 0.277 matching the public TDC reference SOTA
  • 3 of 8 ADMET endpoints in the high-accuracy class: BBB classification, hERG mechanism, secondary permeability tier
  • Pocket-bound binding on the PXR nuclear receptor (production reference, bit-equality preserved across the cascade rewire)
  • hERG ion-channel liability — mechanism-aware, production reference
  • CASF-2016 binding-affinity benchmark across diverse target classes, Pearson r = 0.772
IN PILOT

Same physics as validated targets

Usable as primary screening criterion with the per-endpoint validation caveat.

The cascade runs end-to-end and dispatches to family-specific physics. Validation depth is rolling out family by family on customer and held-back datasets.

  • Pocket-bound binding across the remaining target families: ~70 kinases, ~160 GPCRs across 5 subfamilies, catalytic enzymes (incl. HDAC1–11), epigenetic readers, transporters, CYP-as-target, aspartyl proteases, structural proteins, KDM lysine demethylases
  • Selectivity panel across the wired family set — intended target + off-targets + safety flags in one call
  • Repurposing panel across ~260 targets, with mechanism attribution per hit
  • Cross-target safety integration: CYP, hERG, and transporter risk fused with the ADMET cascade
IN DEVELOPMENT

Newer physics, wider uncertainty

Treat output as directional input; cross-check experimentally.

Code paths run end-to-end with deliberate scope caps and elevated per-prediction uncertainty, so the engine flags where it is leaning on the prototype tier.

  • The seven non-pocket modes of binding physics: protein–protein interface disruption, targeted protein degradation (molecular glues / PROTACs), nucleic-acid binding (DNA / RNA / G-quadruplex), biomolecular condensates, amyloid & aggregate modulation, membrane-active mechanisms, glycan / carbohydrate engagement
  • Fully calibrated cross-mode uncertainty across all eight modes
  • End-to-end explanation reports with full inter-step mechanism trace
  • Public-benchmark validation depth for the in-pilot family adapters

Pilot programs are run as blind validation studies against held-back internal datasets. We share which tier each capability sits in before we run — we don't oversell. The full Flux Pharmacology plan brings the in-pilot and in-development tiers up to the same validated readiness that already produced the 5-of-8 ADMET SOTA result, on the same underlying physics.

The cascade, in standard pharmacology layout

Each row is a phase of the canonical pharmacology cascade. Within each phase, every enzyme, transporter, target family, and safety module the engine can handle is shown explicitly — with individual readiness-tier coloring. Read top to bottom; each row reads left to right.

Validated — published benchmark accuracy
In pilot — same physics as validated targets
In development — newer physics, wider uncertainty
Future — on the roadmap, not available today

How to read these tiers. Validated items have published benchmark numbers — use as primary screening criterion. Pilot items run the same physics that validated other targets in the same family — usable as primary screening criterion with the per-endpoint validation caveat. In-development items are operational prototypes with newer or scope-capped physics — treat output as directional input and cross-check experimentally. Future items aren't available today.

Molecule + dose
1 Molecular state Pre-systemic · identity
6
Protomer / tautomer ensemble
Stereochemistry · partial charges
Conformer ensemble · 3D geometry
pKa prediction ionizable groups
logP / logD lipophilicity
Dose-to-exposure
2 Absorption PK · A
3 3 2
Passive permeability
Caco-2 matches public SOTA
BBB classification
Aqueous solubility strict #1 SOTA
Active uptake transporters
OATP1B1 / 1B3
PEPT1 · LAT1
OCT1 · MATE1 · SGLT2
Derived absorption outputs
Fraction absorbed Fa
Oral bioavailability F% · first-pass adjusted
3 Distribution PK · D
3 2 5
Plasma & carrier binding
Plasma protein binding albumin · strict #1 SOTA
fu_plasma free fraction in plasma · derived from PPB
AAG binding alpha-1-acid glycoprotein
Lipoprotein binding
fu_brain free fraction in brain
Tissue distribution
BBB penetration
Tissue partition brain · liver · kidney
Volume of distribution Vss
Brain-to-plasma ratio Kpuu
Placental · milk distribution
4 Metabolism PK · M
9 6 1 7
Phase I · CYP isoforms
CYP3A4 / 3A5
CYP2D6
CYP2C9
CYP1A2
CYP2C8 · 2C19
CYP2B6 · 2E1
Phase I · non-CYP
FMO1 / FMO3
Aldehyde oxidase
MAO monoamine oxidase
Esterases CES1 / CES2 hydrolysis
Carbonyl reductase · CBR
Phase II conjugation
UGT · glucuronidation
SULT · sulfation generic Phase II constants
GST · glutathione linked to reactive-met scavenging
NAT · acetylation generic Phase II constants
COMT / TPMT methylation
Outputs & downstream analysis
Intrinsic clearance strict #1 SOTA
Reactive metabolite alerts
TDI · MBI alerts
DDI potential perpetrator + victim risk
Metabolite ID site of metabolism prediction
Species scaling rat · dog · human
Pharmacogenomics CYP2D6 PM/IM/EM/UM · CYP2C19 variants
5 Excretion PK · E
2 4 4
Efflux transporters
P-gp
BCRP
BSEP
MRP2 / 3 / 4
MATE1 / 2-K
Clearance pathways
Hepatic clearance
Renal clearance secretion + reabsorption
GFR-mediated clearance
Biliary clearance · half-life
Enterohepatic recirculation
6 Target engagement · 8 modes of binding PD · target
2 12 7 5
Pocket-bound · validated targets
PXR nuclear receptor · production reference
hERG ion channel liability · mechanism-aware
Pocket-bound · target families
Nuclear receptors (rest) AR · ER · GR · PPAR · RAR
Ion channels (rest) Nav · Cav · NMDA · GABA-A
Kinases ~70 · ATP-site + allosteric
GPCRs · ~160 aminergic · cannabinoid · purinergic · peptide · lipid
Catalytic enzymes HDAC1-11 · zinc-metallo · coag factors
Catalytic enzymes (cont) cysteine proteases · heme dioxygenase
Phosphodiesterases PDE1-11 family
Epigenetic readers BRD · EP300 · CREBBP
Aspartyl proteases BACE1 · renin · HIV-PR
KDM lysine demethylases LSD1 · JmjC family
Transporters as targets OATP · BCRP · BSEP · P-gp
CYP-as-target
Structural proteins tubulin · actin
Binding-site variants beyond orthosteric
Allosteric · cryptic pockets
Covalent binders cysteine / lysine warheads
Non-pocket modes of binding
PPI disruption
Targeted degradation glues / PROTACs
Nucleic-acid DNA / RNA / G-quadruplex
Biomolecular condensates
Amyloid / aggregate
Membrane-active
Glycan / carbohydrate
Pathogen / microbial targets (roadmap)
Antibacterial targets cell wall · ribosome · DNA gyrase
Antifungal / antiviral / antiparasitic targets
7 Mechanism · response · PK / PD integration PD · integration
6 2 1
Mechanism & functional output
Agonist / antagonist / inverse
Allosteric coupling
Biased signaling
Functional readout
Dose-response curve EC50 / IC50 / Emax
PK / PD integration
Timecourse · PK / PD
Therapeutic index
Target turnover kdeg · key for degraders
Biomarker prediction PD biomarkers
8 Safety overlay Toxicology · safety
3 6 3 12
DILI · mechanism-resolved (overall AUROC 0.9597)
Hepatocellular injury
Cholestatic · BSEP inhibition
Mitochondrial dysfunction
Reactive metabolite burden
Immune-mediated · HLA risk
Cardiac liability
hERG
Nav1.5
Cav1.2
QT prolongation multi-channel composite
Torsade de pointes risk
CYP inhibition liabilities
Reversible CYP inhibition
Time-dependent inhibition
Mechanism-based inhibition
Genotoxicity (roadmap)
AMES · DNA-reactive mutagenicity
Micronucleus assay
Chromosomal aberrations
Long-term & specialized toxicity (roadmap)
Carcinogenicity 2-year rodent extrapolation
Reproductive / developmental tox DART
Endocrine disruption
Neurotoxicity · CNS
Organ & tissue-specific toxicity
Off-target panel
Renal tubular toxicity
Phospholipidosis
Skin sensitization
9 Decision & output Delivery
3 4 2
Panels
ADMET panel 5 of 8 at public SOTA
Binding affinity CASF-2016 r = 0.772
Selectivity panel
Repurposing ~260 targets
Decision support
Hit-to-lead triage flags
Series optimization matched molecular pair · SAR
Regulatory dossier prep IND-enabling exports
Assurance
Calibrated uncertainty
Mechanism trace · audit packet

Phases 1–5 are the PK arc (ADME). Phase 6 is the PD arc — every pocket-bound target family + every non-pocket mode the engine can dispatch to. Phase 7 closes the PK×PD loop. Phase 8 is the safety surface, with DILI resolved into its canonical mechanism subtypes (hepatocellular, cholestatic / BSEP, mitochondrial, reactive-metabolite, immune-mediated). Phase 9 is what the user receives, with every prediction's tier flag carried through into the output packet.

Adjacent domain · microbial pharmacology

The same cascade architecture, applied to a parallel domain — antibacterial, antiviral, antifungal, and antiparasitic pharmacology. The binding-affinity layer already reaches most pathogen targets today via the same target-engagement engine that scored CASF-2016 across diverse target classes (r = 0.772). Pathogen-specific infrastructure (envelope crossing, efflux modeling, MIC determination, biofilm / persister states, lifecycle-stage selectivity) is on the roadmap.

7 PILOT 5 DEV 20 FUTURE

Bacterial

Today: PBPs · MurA-F · DNA gyrase · topo IV · RNA pol · DHFR/DHPS · FAS-II reachable as binding targets. Roadmap: ribosome 50S/30S · ATP synthase · cytochrome bc1 · MIC + resistance outputs.

8 PILOT 6 DEV 11 FUTURE

Viral

Today: polymerases (RdRp, DNA pol, RT) · proteases (HIV PR, HCV NS3/4A, SARS-CoV-2 Mpro) · integrase · helicase · NA reachable. Roadmap: capsid · entry proteins · lifecycle-stage selectivity.

5 PILOT 4 DEV 12 FUTURE

Fungal

Today: CYP51/Erg11 (azoles) · squalene epoxidase · Erg6/2 · flucytosine targets · β-tubulin reachable. Roadmap: FKS1 β-glucan synthase · chitin synthase · host-CYP51 selectivity composition.

8 PILOT 4 DEV 13 FUTURE

Parasitic

Today: PfDHFR-TS · PfCytB · PfATP4 · PfActin/PI4K · T. cruzi CYP51 · trypanothione reductase · helminth β-tubulin reachable. Roadmap: parasite Cl channels · lifecycle-stage selectivity.

See the full microbial cascade →

Not a black box. A physics engine.

FluxMateria's pharmacology cascade is a deterministic, mechanistic calculation. Every prediction can be traced, audited, and reproduced — from the input molecule to the readout.

0

Parameters fitted to assay data

The engine is parameter-free at the physics layer. Some endpoints use similarity-based calibration to assay distributions for the final readout step, with full provenance — the underlying mechanism stays interpretable.

Traceable

Mechanism attribution by default

Every prediction carries a full mechanism trace — which CYP isoform drove clearance, which reactive metabolite triggered the DILI flag, which binding-mode physics resolved the affinity. Reproducible from the same input.

3.6M×

Faster than DFT

DFT-competitive accuracy at screening throughput. Profile entire libraries, not individual molecules. ~210 ms for a full eight-endpoint ADMET panel per compound.

ML / QSAR stacks Fast, but degrade on novel scaffolds. Black box. Different model per endpoint, per target, per chemical class.
DFT / QM Accurate and traceable for binding, but no ADMET or selectivity story. Days per molecule.
Flux Pharmacology One cascade, all endpoints, full mechanism trace. No model retraining. Holds on novel chemistry by construction.

How the cascade surfaces in the product

Each module is a window into the same pharmacology engine — not a separate model trained on a different dataset.

SCREENING & PROFILING
💊

ADMET

Production

8 endpoints from one cascade: metabolism, BBB, PPB, solubility, DILI, hERG, permeability, CYP panel. 3 strict #1 SOTA endpoints plus DILI AUROC 0.9597 on the comparable TDC binary task and Caco-2 MAE 0.277 matching the public TDC reference SOTA. Zero fitted parameters. ~210 ms per compound.

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🧬

BioTarget

Beta

Binding affinity across 10,000+ targets. CASF-2016 validated (r = 0.772). Selectivity and repurposing panels with therapeutic-index scoring and integrated ADMET fusion.

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🎯

Inverse Search

Beta

Define a target ADMET and binding profile, get candidates that match. Ranked results with tradeoff analysis and rejection reasons for near-misses — mechanism trace included.

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🧪

Docking

Production

Physics-based molecular docking integrated with the ADMET and BioTarget panels. Pose prediction without trained scoring functions.

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CHARACTERIZATION
📈

Spectroscopy Studio

Production

Predict spectra before synthesis. UV-Vis (6.2% error), IR (<1%), Raman, NMR (0.3–0.5 ppm MAE), X-ray, EPR, emission, and circular dichroism.

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💧

Solvation & pKa

Production

Solvation free energies in 30+ solvents. pKa prediction for ionizable groups. 0.71 logS MAE validated on 1,128 ESOL compounds. Formulation-relevant from day one.

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🔍

3D Viewer & Properties

Production

Interactive 3D molecular visualization with computed partial charges, orbitals, electron density, bond lengths, and bond angles — all from physics.

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REACTIONS & SYNTHESIS
🧪

Synthesis Planning

Production

Retrosynthetic route planning with physics-derived barriers. 29 reaction types at 3.1% MAE. 82 reagents, 15 disconnection patterns. <50ms per plan.

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⚗️

Mechanism Discovery

Production

100% accuracy on the 336-case benchmark (SN1/SN2/E1/E2/E1cb). 7.4 kJ/mol barrier MAE. ~1,000,000× faster than DFT.

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📊

MechanismOS (Steer)

Production

Operating-window steering for reaction chemistry. Control surfaces, constraint optimization, and audit-ready exports. 154/154 GOLD benchmark checks passed.

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ADVANCED BINDING & POLYPHARMACOLOGY
📊

Selectivity Panel

Beta

Cross-class polypharmacology in one call — intended target, related family members, anti-targets, and safety flags scored together. Returns a ranked profile with per-target uncertainty and integrated hERG / CYP / transporter risk.

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♻️

Repurposing Panel

Beta

~260-target screen for approved drugs and tool compounds. Mechanism-attributed off-target profile across kinases, GPCRs, nuclear receptors, ion channels, transporters, and catalytic enzymes — built for indication expansion and adverse-event hypothesis generation.

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🔗

Targeted Degradation

Beta

PROTAC and molecular glue ternary complex modeling — predict ternary geometry, cooperativity, DC50, and Dmax. Currently at prototype readiness; every prediction carries the cascade tier flag through to the output packet.

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Workflow: from molecule to defensible decision

One input, one cascade, all endpoints — with mechanism trace and calibrated uncertainty at every step.

1

Upload

Compound library as SMILES — from chemical inventory or virtual library generator

2

Profile

Full pharmacology cascade: identity, exposure, ADMET panel, target binding, mechanism

3

Triage

Filter on developability and target affinity; review confidence flags on borderline candidates

4

Selectivity

Run the selectivity panel on shortlisted compounds — off-targets, anti-targets, safety flags

5

Repurpose

Optionally screen approved drugs against the ~260-target repurposing panel for off-label hypotheses

6

Decide

Export the decision packet with full mechanism trace, provenance, and audit-grade reproducibility

See it on your data

Bring your compound library or your repurposing list. We'll run the full Flux Pharmacology cascade on it.

Interactive demo

No account needed. Enter a molecule and see the full ADMET panel with confidence indicators and mechanism trace.

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Pilot access

Run Flux Pharmacology on your own library. Pilot programs run as blind validation studies against held-back internal datasets.

Request Access →