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Run physiologically based pharmacokinetic simulations entirely in your browser. Tissue concentration profiles, BCS classification, dissolution & IVIVC, virtual bioequivalence, BE data analysis, and Ro5 drug-likeness — instant.
Every stage of the generic (ANDA) workflow lives in its own tab. Here’s what each one gives you — the box cycles through them automatically.
SimFormulation brings together the complete PBPK workflow — multi-tissue ODE simulation, mechanistic IVIVC, hepatic extraction modeling, and BCS classification — into one fast, browser-based platform.
Euler ODE solver across 12+ compartments: plasma, liver, kidney, brain, muscle, adipose, GI tract, lung, heart, spleen, bone, and skin. Rodgers–Rowland Kp prediction. Real-time tissue-specific C(t) profiles.
12+ TissuesFull deconvolution (Wagner-Nelson, Loo-Riegelman, Numerical) with Tscale/Tshift/ AbsScale adjustments. Levy Plot, BCS-IVIVC applicability assessment, and FDA dual criterion validation (avg ≤10%, max ≤15%).
FDA Level AThree mechanistic models: Well-Stirred (Rowland 1973), Parallel-Tube (sinusoidal perfusion), and Dispersion (Roberts–Rowland 1986). Full IVIVE scaling with fumic, MPPGL, and liver weight.
WSM · PTM · DMClassify drugs BCS Class I–IV. Automated bio-waiver eligibility assessment per FDA guidance. IVIVC likelihood prediction based on class with permeability vs dissolution rate-limiting analysis.
BCS I–IVHenderson-Hasselbalch ionization for acids, bases, amphoteric, and zwitterionic drugs. Segment-by-segment GI pH, solubility, and Peff across stomach, duodenum, jejunum, ileum, and colon.
Henderson-HasselbalchMechanistic particle dissolution model with adjustable particle size, density, diffusion coefficient, and diffusion layer thickness. Predicts supersaturation and precipitation for poorly soluble drugs.
Noyes-WhitneyPhysiologically scaled parameters for human, rat, mouse, dog, and monkey. Healthy, renally impaired, hepatically impaired, pediatric, and elderly population modifiers with validated physiological parameters.
5 SpeciesReal-time Cmax, Tmax, AUC0–∞, t½, F%, Eh, CLh, CLr, Log D7.4, and hepatic extraction ratio with flow-limited vs capacity-limited classification.
Full PK ReportAutomatic Rule of Five compliance. Visualize MW, Log P, HBD, HBA, and PSA thresholds with pass/fail indicators. Log D7.4 calculated from pKa and Log P across the physiological pH range.
Ro5 · Log DDownload full simulation data as CSV for downstream statistical analysis or generate a formatted HTML report with all parameters, PK metrics, and charts suitable for scientific presentations and submissions.
Data ExportRun a 2×2 crossover from population variability — geometric mean ratio and 90% confidence interval for Cmax and AUC against the 80–125% limits, with estimated sample size, fasted and fed.
Virtual BEUpload observed concentration–time data for non-compartmental analysis (Cmax, Tmax, AUC, t½) plus the 2×2 average-bioequivalence statistics with an outlier screen — fasted and fed.
NCA · 2×2Multi-pH dissolution with the z-factor model (Hofsäss & Dressman), delayed-release two-stage acid→buffer profiles, the similarity factor f2, and parameter-sensitivity analysis to rank what drives absorption.
DisSim · f2 · PSANo software to install or maintain — the models run entirely client-side in your browser with no backend server, and your inputs stay on your device. Just create an account to launch the simulator.
Client-SideBuilt to democratize PBPK modeling for researchers, students, and scientists worldwide. No license fees and no paywalls. Developed with the principles of open science and reproducible pharmacokinetics.
Open ScienceFour simple steps to run a complete physiologically based pharmacokinetic simulation with tissue distribution, mechanistic absorption, hepatic extraction, and IVIVC analysis.
Input MW, Log P, pKa, solubility (S₀), Peff, fu, and CLint. Select BCS class to autofill typical values, or use your measured in vitro data. Drug type (acid / base / neutral / amphoteric / zwitterion) drives ionization calculations.
Choose administration route (PO, IV bolus, IV infusion), formulation type (IR, ER, sprinkle capsule, suspension), dose, body weight, age, species, population. Select hepatic extraction model: Well-Stirred, Parallel-Tube, or Dispersion.
Simulation completes instantly. Toggle tissue compartments on/off, view Cmax, Tmax, AUC, t½, Eh, CLh. Examine pH-solubility curves, GI segment absorption, Lipinski Ro5 compliance, and tissue:plasma Kp distribution.
Enter multipoint in vitro dissolution data (pH 1.2 / 4.5 / 6.8 / 7.4). Run Wagner-Nelson, Loo-Riegelman, or Numerical deconvolution. View Level A correlation, Levy Plot, and FDA prediction error metrics automatically.
Download simulation data as CSV or a formatted HTML report with all parameters, PK metrics, and charts — share directly with colleagues or include in your study reports.
Three worked ANDA scenarios — an immediate-release weak base, an extended-release high-solubility drug, and a delayed-release acid-labile drug. Switch between them, then save any one as your own project.
A real generic scenario against the reference listed drug (Trileptal®). Trileptal® is a registered trademark of Novartis AG. Use of this name is for educational reference only; SimFormulation is not affiliated with or endorsed by Novartis. Oxcarbazepine is a BCS Class II drug — poorly soluble but highly permeable — and, being essentially non-ionisable (pKa 13.7), its low solubility is pH-independent, so the bioequivalence lever is particle size, wettability and polymorph, not microenvironmental pH. Drug data is from public labels; the dissolution and plasma curves below are hypothetical.
| Molecular weight | 252.3 Da |
| Ionisation | non-ionisable (pKa 13.7) |
| Solubility | poorly soluble; pH-independent |
| Permeability / F | high; absorption ~95% |
| Active moiety | MHD (prodrug; parent ~2%) |
| Tmax / t½ (MHD) | ~4.5 h / ~9 h |
| Cmax (MHD, 600 mg) | ~34 micromol/L (~8.6 microg/mL) |
| BCS class | II (low sol., high perm.) |
Absorption is dissolution-rate-limited and the low solubility is pH-independent, so there is no pH or salt lever. A biowaiver is not available.
Particle size (d90), wettability (excess lubricant / low surfactant) and polymorph set the dissolution rate — and therefore Cmax. The QC method usually needs a surfactant to be discriminating.
Hypothetical curves, illustrative of the IR workflow only. BE is usually judged on parent oxcarbazepine (more formulation-sensitive), with MHD also measured.
| Test vs RLD scenario | GMR Cmax | GMR AUC | 90% CI Cmax | Verdict |
|---|---|---|---|---|
| Matched fine PSD + good wetting | ~99% | ~100% | 92–107% | PASS |
| Coarser API (high d90) | ~88% | ~96% | 80–97% | AT RISK |
| Poor wettability (hydrophobic) | ~85% | ~93% | 76–95% | LIKELY FAIL |
| Less-soluble polymorph | ~90% | ~95% | 82–99% | AT RISK |
Illustrative values from the hypothetical curves — directional, not regulatory predictions.
| Decision point | What the tool shows | ANDA action |
|---|---|---|
| Biowaiver possible? | BCS II (low solubility) | No — in-vivo BE required Step 1 |
| Reference credible? | Calibrated MHD curve matches label | Sample for ~9 h MHD half-life Step 2 |
| Method discriminating? | IVIVC moves with PSD / wetting | Adopt a surfactant, discriminating medium Step 3 |
| Which test batch? | GMR / CI per composition | Select fine-PSD, well-wetted batch Step 4 |
| How many subjects? | Power vs n at real CV | Size the fasting study Step 5 |
| What to control? | d90 & wettability dominate Cmax | Set API PSD + wettability specs Step 6 |
| Did we pass? | NCA + 2×2 CI, parent & MHD | Confirm, or diagnose a near-miss Step 7 |
Every step with its inputs, the engine computation and the de-risking benefit, the hypothetical curves and references — the document this section summarises.
From early discovery to regulatory submission, SimFormulation supports every stage of your pharmacokinetic and biopharmaceutics workflow.
Screen compound libraries for PK liabilities before synthesis. Predict BCS class, oral bioavailability, half-life, and hepatic extraction ratio from molecular descriptors alone.
Compare IR vs ER formulations. Build Level A IVIVC correlations using Wagner-Nelson or Loo-Riegelman deconvolution. Validate with FDA prediction error criteria. Generate Levy Plots for time-scaling analysis.
Compare Well-Stirred, Parallel-Tube, and Dispersion hepatic models for the same CLint. Assess Fh × Fg first-pass loss, flow-limited vs capacity-limited classification, and IVIVE from microsomal CLint data.
Translate PK parameters between mouse, rat, dog, monkey, and human using physiological scaling. Predict first-in-human dose from preclinical data with species-specific physiological parameter sets.
Assess dose adjustments in renally impaired, hepatically impaired, elderly, and pediatric populations. Modified GFR, hepatic blood flow, plasma protein binding, and CLint automatically applied.
Evaluate bio-waiver eligibility based on BCS class, dissolution data, and permeability. Automated IVIVC feasibility analysis per FDA 1997 guidance and BCS-based biowaiver framework.
Ideal for pharmacokinetics and biopharmaceutics courses, PBPK workshops, and research demonstrations. Instantly visualize how each molecular parameter affects multi-tissue concentration-time profiles.
Generate HTML reports with full parameter sets and PK metrics for research documentation (independent validation required before regulatory use). IVIVC output structured in the format of FDA Level A validation (for research and educational use; independent validation required before any regulatory submission). Levy Plot and prediction error tables formatted for research documentation (independent validation required before regulatory submission).
SimFormulation runs entirely in your browser. Create an account and start modeling in minutes — nothing to install.
Ask how it works — or describe your formulation scenario (dosage form, the data you have, your goal) and get a step-by-step workflow for running the simulator on your case. You can attach a screenshot for context.
Answers and step-by-step workflows come from SimFormulation’s built-in knowledge base and work offline. For anything it can’t answer, email dineshbcp@gmail.com.
Have questions about SimFormulation, want to report an issue, suggest a feature, or collaborate on PBPK research? Reach out directly.
SimFormulation is an open, browser-based PBPK modeling platform developed to make physiologically based pharmacokinetic simulation accessible to researchers, students, and scientists everywhere — without license fees or software installation.
For bug reports, feature requests, PBPK consultations, or academic collaborations — email directly or use the contact address:
A comprehensive technical document covering SimFormulation's software architecture, computational flow, mathematical models, and pharmaceutical science applications — including a full worked example with Metformin ER. A companion step-by-step Workflow Guide walks through every stage of the simulator, and the IVIVC & Virtual BE Workflow Playbook maps four field scenarios — predicting plasma from dissolution, global reference bridging, suspension reformulation, and fed-state BE risk — panel-by-panel to the exact controls.
No registration · PDF format · Research & educational use
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