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Research & Educational Tool Only. SimFormulation outputs are not validated for regulatory submission. Users are solely responsible for independent validation of any data intended for IND, NDA, ANDA, CTD or any other regulatory filing.
Research & educational use only. SimFormulation is not validated software and is not intended for regulatory submission or clinical decisions — verify all outputs independently. Terms
Browser-Based · No Installation

PBPK Modeling
Reimagined for the Web

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.

12+ Tissue compartments
3 Hepatic models
Level A IVIVC + Levy Plot
Open Science
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SimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharmaSimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharmaSimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharmaSimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharmaSimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharmaSimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharmaSimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharmaSimFormulation — a PBPK engine for research, built to expedite generic (ANDA) development in generic pharma
Inside the simulator

What’s inside each tab

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.

Drug — molecule & BCS
Tab 1 · Drug
Molecule & BCS classification
Enter physicochemistry: MW, logP, pKa, a pH–solubility profile, dose and permeability
Automatic BCS class (I–IV) with the Do, Dn and An dimensionless numbers
AI-assisted parameter lookup and structure-image import from public sources (PubChem / openFDA)
Tab 2 · Formulation
Dissolution & mechanistic IVIVC
Fit test vs reference dissolution and compute the f2 similarity factor
z-factor and Weibull models with particle size (D10 / D50 / D90)
Level-A IVIVC — Wagner–Nelson, Loo–Riegelman, convolution — with %PE against FDA limits
Tab 3 · System
Physiology & PBPK simulation
12+ compartment perfusion-limited PBPK with first-order absorption and a mechanistic permeability/solubility-limited fraction-absorbed (Fa)
Regional pH, transit, clearance and volume; fed-versus-fasted food effect
Simulated plasma curve with Cmax, Tmax, AUC and the Fa / Fdiss split
Tab 4 · DisSim
Dissolution simulator
Forward-simulate release directly from formulation and particle inputs
Compare profiles across pH 1.2 / 4.5 / 6.8 and biorelevant media
Feeds the resulting dissolution straight into the absorption model
Tab 5 · VBE
Virtual bioequivalence
Monte-Carlo 2×2 crossover built from your population variability
Power-versus-sample-size curve and the expected 90% CI of the GMR
Pre-screen a BE study before any clinical commitment
Tab 6 · PSA
Parameter sensitivity analysis
Sweep any input — particle size, ka, gastric emptying, clearance and more
Spider, surface and tornado plots
Ranks what actually drives Cmax, AUC and the BE outcome
Tab 7 · BE Analysis
NCA & bioequivalence statistics
Per-subject NCA: Cmax, Tmax, AUC0–t / AUC0–∞, λz, t½
2×2 ANOVA, 90% CI and RSABE for highly-variable drugs
Forest & Q-Q plots, Wilcoxon Tmax, and an exportable report
Features

Everything you need for
PBPK modeling & simulation

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.

📈
Multi-Compartment PBPK Engine

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+ Tissues
🔬
Mechanistic IVIVC — Level A

Full 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 A
🫀
Hepatic Extraction Models

Three 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 · DM
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BCS Classification & Bio-waiver

Classify 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–IV
⚗️
pH-Dependent Solubility & GI Absorption

Henderson-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-Hasselbalch
🧫
Noyes-Whitney Particle Dissolution

Mechanistic particle dissolution model with adjustable particle size, density, diffusion coefficient, and diffusion layer thickness. Predicts supersaturation and precipitation for poorly soluble drugs.

Noyes-Whitney
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Multi-Species & Population Support

Physiologically scaled parameters for human, rat, mouse, dog, and monkey. Healthy, renally impaired, hepatically impaired, pediatric, and elderly population modifiers with validated physiological parameters.

5 Species
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Complete PK Metrics Dashboard

Real-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 Report
📋
Lipinski Ro5 [¹] & Drug-Likeness

Automatic 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 D
💾
Export CSV & HTML Reports

Download 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 Export
⚖️
Virtual Bioequivalence

Run 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 BE
📈
BE Data Analysis (NCA)

Upload 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 · 2×2
🧫
Dissolution Lab — z-factor & DisSim

Multi-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 · PSA
🌐
100% Browser-Based

No 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-Side
🆓
Open Science

Built 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 Science
How it works

From molecule to full
PBPK profile in seconds

Four simple steps to run a complete physiologically based pharmacokinetic simulation with tissue distribution, mechanistic absorption, hepatic extraction, and IVIVC analysis.

01
Enter molecular & biopharmaceutical properties

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.

02
Configure formulation, dose, subject & hepatic model

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.

03
Run simulation — explore tissue profiles & PK metrics

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.

04
Run IVIVC — deconvolve, correlate & validate

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.

05
Export & share results

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.

Live simulation preview
024h↔ drag the peak ↕
Cmax Tmax AUC
Eh (hepatic extraction)
0.42 — Intermediate
Bioavailability (F)
72.4%
Level A IVIVC R²
0.962
8.3 h
Worked examples

How it works, applied

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.

Reference profile (RLD)

Molecular weight252.3 Da
Ionisationnon-ionisable (pKa 13.7)
Solubilitypoorly soluble; pH-independent
Permeability / Fhigh; absorption ~95%
Active moietyMHD (prodrug; parent ~2%)
Tmax / t½ (MHD)~4.5 h / ~9 h
Cmax (MHD, 600 mg)~34 micromol/L (~8.6 microg/mL)
BCS classII (low sol., high perm.)

Provisional BCS: Class II (non-ionisable)

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.

The IR levers for this drug

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 dissolution & plasma profiles

0204060801000102030405060Time (min)% dissolvedReference (fine, well-wetted)Slower test (coarse/poor wetting)
Fig 1. IR dissolution: reference (fine, well-wetted) vs a slower coarse/poorly-wetted test.
0150030004500600075009000061218243036Time (h)Plasma MHD (ng/mL)
Fig 2. Reference plasma profile (active MHD, 600 mg, fasted): Cmax ~8,600 ng/mL @ ~4.5 h.

Hypothetical curves, illustrative of the IR workflow only. BE is usually judged on parent oxcarbazepine (more formulation-sensitive), with MHD also measured.

The workflow, applied to oxcarbazepine IR

01
Drug tab
Classify the molecule
EnterMW 252, low pH-independent solubility, high permeability, dose 600 mg, non-ionisable (pKa 13.7).
Or searchType “oxcarbazepine” to auto-resolve these — curated DB → AI literature → PubChem → openFDA — each value tagged literature or estimated.
ComputesFlat solubility-pH curve, dose number, provisional BCS II.
ANDA benefitThe lever is PSD / wetting / polymorph — not pH.
02
System tab
Physiology & calibration
EnterFasted/fed physiology, GI transit, disposition calibration to active MHD (t½ ~9 h, V/F ~49 L).
ComputesA plasma backbone anchored to the MHD that carries exposure.
ANDA benefitCredible reference and a sound sampling/washout schedule for a ~9 h analyte.
03
Formulation tab
IR dissolution & IVIVC
EnterIR dissolution model (PSD, wetting) + multipoint dissolution incl. a surfactant medium.
ComputesDissolution profiles, f2, and a mechanistic IVIVC.
ANDA benefitShows whether the QC method discriminates — it usually needs a surfactant to detect PSD/wetting changes.
04
DisSim tab
Predict BE for your batch
EnterRLD target (Cmax ~8,600 ng/mL, Tmax ~4.5 h, t½ ~9 h, CVw) + your test composition.
ComputesGMR & 90% CI for Cmax/AUC vs 80–125%, with the dissolution view.
ANDA benefitPredicts whether your PSD / wetting is bioequivalent — flags an early Cmax shortfall before the clinic.
05
Virtual BE tab
Size the study
EnterPopulation variability under fasting (fed optional; no food effect at 600 mg).
ComputesA 2×2 crossover, GMR/CI and the required n.
ANDA benefitRight-sizes the pivotal study and shows power collapse if the Cmax GMR drifts low.
06
PSA tab
Rank the risk
EnterSweep d50 / d90, wettability and effective (polymorph) solubility.
ComputesCmax and AUC vs each parameter with the BE band overlaid.
ANDA benefitPinpoints the CMAs needing tight specs — API particle size and wettability.
07
BE Analysis tab
Confirm on real data
EnterObserved concentration-time data for parent oxcarbazepine and MHD.
ComputesNCA + 2×2 average-BE statistics with an outlier screen.
ANDA benefitConfirms both analytes and diagnoses a near-miss (slow-dissolving lot vs variability).

Step 4 output — predicted BE per test composition

Test vs RLD scenarioGMR CmaxGMR AUC90% CI CmaxVerdict
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 pointWhat the tool showsANDA action
Biowaiver possible?BCS II (low solubility)No — in-vivo BE required Step 1
Reference credible?Calibrated MHD curve matches labelSample for ~9 h MHD half-life Step 2
Method discriminating?IVIVC moves with PSD / wettingAdopt a surfactant, discriminating medium Step 3
Which test batch?GMR / CI per compositionSelect fine-PSD, well-wetted batch Step 4
How many subjects?Power vs n at real CVSize the fasting study Step 5
What to control?d90 & wettability dominate CmaxSet API PSD + wettability specs Step 6
Did we pass?NCA + 2×2 CI, parent & MHDConfirm, or diagnose a near-miss Step 7
Full report · 5 pages · PDF

The complete oxcarbazepine IR walkthrough

Every step with its inputs, the engine computation and the de-risking benefit, the hypothetical curves and references — the document this section summarises.

Use cases

Built for the full
drug development pipeline

From early discovery to regulatory submission, SimFormulation supports every stage of your pharmacokinetic and biopharmaceutics workflow.

🔭
Early Discovery Screening

Screen compound libraries for PK liabilities before synthesis. Predict BCS class, oral bioavailability, half-life, and hepatic extraction ratio from molecular descriptors alone.

💉
Formulation Development & IVIVC

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.

🫀
Hepatic Extraction & First-Pass

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.

🐀
Allometric Scaling & Translation

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.

👴
Special Population Modeling

Assess dose adjustments in renally impaired, hepatically impaired, elderly, and pediatric populations. Modified GFR, hepatic blood flow, plasma protein binding, and CLint automatically applied.

⚗️
BCS & Bio-waiver Assessment

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.

📐
Academic Teaching & Research

Ideal for pharmacokinetics and biopharmaceutics courses, PBPK workshops, and research demonstrations. Instantly visualize how each molecular parameter affects multi-tissue concentration-time profiles.

📁
Regulatory Submission Support

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).

🧪

For Everyone

SimFormulation runs entirely in your browser. Create an account and start modeling in minutes — nothing to install.

  • Email sign-up · 30-day trial
  • No software installation
  • Works on any modern browser
  • 12+ tissue compartments (PBPK)
  • Level A IVIVC · Levy plot · deconvolution
  • Hepatic extraction — WSM · PTM · Dispersion
  • BCS classification · bio-waiver assessment
  • Virtual BE · BE data analysis (NCA + 2×2)
  • Dissolution lab — z-factor · multi-pH · f2
  • Live drug data — PubChem · openFDA · literature
  • 5 species · special populations
  • Export CSV & HTML reports
Ask

Ask me more about the Simulator

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.

Answer
Your answer will appear here. Ask a question above, or tap a suggested topic.

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.

Contact

Get in touch

Have questions about SimFormulation, want to report an issue, suggest a feature, or collaborate on PBPK research? Reach out directly.

Dinesh Bramhane
Dinesh Bramhane, PhD
Pharmaceutical Technology
Formulation Scientist
Formulation Scientist with 14+ years in pharmaceutical drug development at leading companies including Ipca Laboratories Ltd, Mumbai, India and Alkem Laboratories Ltd, Mumbai, India. Specialises in solid oral dosage forms, modified-release systems, PBPK modelling & simulation, IVIVC, QbD, and filings for US, Canada and EU markets. Holds a PhD from the Institute of Chemical Technology (ICT), Mumbai, backed by government fellowships and peer-reviewed publications — bringing deep scientific expertise and a passion for delivering innovative, high-quality pharmaceutical products.
🌐 About SimFormulation

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.

Open Science Open Science Browser-Based
📬 Quick Message

For bug reports, feature requests, PBPK consultations, or academic collaborations — email directly or use the contact address:

dineshbcp@gmail.com
simformulation.com
White Paper

Technical White Paper

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.

📄
50+ Pages
Detailed technical content
🧮
14 Sections
From architecture to worked examples
🔬
20+ References
Peer-reviewed scientific literature
💉
Download
PDF, no registration required
Topics Covered
1Introduction & Design Philosophy
2Software Architecture & Technology Stack
3PBPK ODE Engine & Mathematical Models
4Biopharmaceutics & Dissolution Modeling
5Level A IVIVC — Wagner-Nelson / Loo-Riegelman
6Virtual Bioequivalence Monte Carlo Engine
7BE Data Analysis — NCA & Statistical Analysis
8–10Drug Lookup, UI Design & Validation
11ANDA / Generic Drug Development Applications
12Worked Example — Metformin ER 500 mg
13–14Glossary & Peer-Reviewed References

No registration · PDF format · Research & educational use

Initializing simulation engine...
SimFormulation — loading...
Model updated
Research use only
Ready
Cmax
mg/L
Tmax
hours
AUC0-∞
mg·h/L
t½
hours
Bioavailability
%
CLh
L/h
Eh (hepatic)
ratio
Dose No.
Abs No.
Diss No.
Plasma & Tissue Concentration–Time Profiles Euler ODE solver · 720 steps
PBPK concentration-time data.
Absorption Drivers
Distribution Parameters
Lipinski / Ro5
Compartment Snapshot
BCS Dimensionless Numbers Dose · Absorption · Dissolution
Run simulation to calculate.
CAT Model — GI Compartment Data Compartmental Absorption & Transit (CAT) · Human Fasted
PK Summary Table
ParameterValueUnit
Hepatic Extraction & First-Pass
Run simulation to see hepatic extraction details.
Disposition Pathway
Drug disposition data.
pH-Dependent Solubility Profile
pH-solubility data.
In Vitro Dissolution Profile
Dissolution profile data.
Particle Size Effect on Dissolution & Absorption d10 / d50 / d90 sensitivity
Dissolution time t85 vs particle size
Fraction absorbed vs particle size (PBPK)
z-Factor Dissolution Model Refined per Hofsäss & Dressman 2020
% dissolved, disintegration & available-mass band
Model parameters & diagnostics
IVIVC Development Sequence Ordered workflow — FDA 1997 / USP <1088>
Integrated model inputs — drug · formulation · system · physiology
Step 1b · Dissolution Model Fitting — Best-Fit Kinetics Fit literature models to your multipoint dissolution data
Fits 12 model-dependent dissolution kinetics (zero/first-order, Higuchi, Korsmeyer–Peppas, Hixson–Crowell, Weibull, Hopfenberg, Makoid–Banakar, Peppas–Sahlin, quadratic, logistic, Gompertz) by non-linear least squares and ranks them by AIC / adjusted-R² / MSC (Costa & Lobo 2001; Zhang 2010). The best-fit curve can drive the IVIVC and Mechanistic IVIVC.
Medium:
Observed points vs fitted curves
Step 2-3 · IVIVC — In Vitro / In Vivo Correlation Multipoint dissolution → PBPK-predicted plasma
Dissolution (%) vs Plasma Cmax-normalized (%) — correlation
IVIVC correlation data.
Predicted plasma C(t) per dissolution medium vs reference
IVIVC plasma profile data.
Step 4-6 · Mechanistic IVIVC — Deconvolution → Correlation → Validation Reference C(t) → In-vivo Ra(t) → Level A → Convolved Test
BCS & IVIVC Applicability — Run simulation to see assessment.
Reference Plasma C(t) & Deconvolved Ra(t)
In-vivo Fraction Absorbed — Ref vs Test (Convolution)
Level A IVIVC — In Vitro Diss. vs In Vivo Fa(t)
Levy Plot — In Vivo Time vs In Vitro Time
Predicted Tissue:Plasma Partition Coefficients (Kp) — Rodgers–Rowland Method
Step 7 · Mechanistic IVIVC — Reference vs Test (pH-resolved + experimental solubility) Enter Ref/Test pH dissolution & measured solubility, then Run
Mechanistic Ref-vs-Test IVIVC — pH-specific in-vitro dissolution is mapped onto the GI pH-transit sequence and capped by the experimental pH-solubility profile to build a biorelevant input function for each product. Run the simulation, enter data, then click Run Mechanistic IVIVC — Ref vs Test.
Biorelevant dissolution — Reference vs Test
Predicted plasma C(t) — Reference vs Test
Level A — % dissolved (biorelevant) vs % absorbed in vivo
Experimental pH-solubility vs Henderson–Hasselbalch
Step 8 · IVIVC Predictability Validation — % Prediction Error (FDA) Internal & external predictability of the IVIVC
%PE = (Observed − Predicted)/Observed × 100 for Cmax and AUC, per FDA IVIVC guidance (1997). Internal: mean absolute %PE ≤ 10% and each formulation ≤ 15%. External: ≤ 10% establishes predictability, 10–20% inconclusive, > 20% inadequate. Enter formulations (slow/medium/fast for internal + a separate external batch), or pull the current IVIVC prediction.
Observed vs predicted (unity line)
Food Effect — Fed vs Fasted Plasma Concentration Gastric delay + bile-salt solubilisation model
Plasma C(t): fasted vs fed (high-fat meal)
Fed/Fasted PK ratios & FDA classification