Kinetic Drive

Interactive kinetic analysis for mammalian cell culture

→ Open the live app

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What is Kinetic Drive?

Kinetic Drive is a browser-based kinetic analysis tool for mammalian cell culture data. It transforms discrete sampling data — viable cell density, glucose, lactate, and product concentration — into the standard kinetic and stoichiometric parameters used in upstream bioprocess development.

The app is built around the workflows that upstream scientists and process engineers actually use at the bench: interval-by-interval calculation of $\mu$, IVCD, specific consumption and production rates, and biomass and product yields.

No installation. No server. Runs entirely in the browser.

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Why it matters

In biopharmaceutical manufacturing, understanding cell physiology goes beyond measuring final titer. Process development requires precise, interval-resolved kinetic analysis to:

• identify growth phases and metabolic shifts
• quantify specific productivity ($q_P$) for clone selection and process optimization
• detect early signs of nutrient limitation or metabolic stress
• compare conditions across runs with normalized, per-cell metrics

Kinetic Drive makes this analysis immediate and interactive — removing the spreadsheet friction that slows down bench-side decision-making.

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How it works

Module 1 — Teaching & Analysis

Walks through the complete calculation pipeline using a real CHO fed-batch dataset (9 days, sampled daily):

Variable	Description
$X_v$	Viable cell density (10⁶ cells/mL)
Viability (%)	Culture health indicator
Glucose (g/L → mM)	Primary carbon source
Lactate (g/L → mM)	Metabolic byproduct
Product (mg/L)	Recombinant protein titer

Select any time interval to compute local kinetics. For each parameter, the app shows a step-by-step arithmetic substitution so every number is traceable. Interactive Plotly charts keep growth and metabolite curves synchronized on hover. Results can be exported as CSV.

Module 2 — Logarithmic IVCD

Reuses the active interval from the teaching view and computes IVCD with the exact analytical expression for exponential growth:

Quantity	Expression
Logarithmic mean	$L(X_0,X_1)=\dfrac{X_1-X_0}{\ln(X_1/X_0)}$
Analytical IVCD	$IVCD=L(X_0,X_1)\Delta t$

The module also contrasts the analytical result against the trapezoidal IVCD and visualizes the exact exponential path versus the linear interpolation behind the trapezoidal rule.

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Methods

All calculations follow per-interval logic, reflecting the phase-dependent physiology of CHO cultures rather than fitting a single global constant.

Parameter	Formula	Units
Specific growth rate	$\mu \approx \dfrac{\ln X_{v,2} - \ln X_{v,1}}{t_2 - t_1}$	day⁻¹
IVCD, discrete	$IVCD \approx \sum_i \dfrac{X_{v,i} + X_{v,i+1}}{2}(t_{i+1} - t_i)$	10⁶ cells·day/mL
IVCD, analytical exponential interval	$IVCD = \dfrac{X_{v,2} - X_{v,1}}{\ln(X_{v,2}/X_{v,1})}(t_2 - t_1)$	10⁶ cells·day/mL
Specific glucose consumption	$q_{Glc} \approx \dfrac{Glc_1 - Glc_2}{IVCD_{\Delta t}}$	pmol/cell/day
Specific production rate	$q_P \approx \dfrac{P_2 - P_1}{IVCD_{\Delta t}}$	pg/cell/day
Biomass yield	$Y_{X/S} = \dfrac{\Delta X_v}{\Delta S}$	cells/mmol
Product yield	$Y_{P/S} = \dfrac{\Delta P}{\Delta S}$	mg/mmol

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Features

Interval-resolved	All parameters computed per time interval — no single global fit
Step-by-step substitution	Full arithmetic shown for every calculation, traceable from raw data
Interactive charts	Plotly.js plots with synchronized hover across all variables
Analytical IVCD view	Exact logarithmic IVCD under an exponential-growth assumption, with comparison against the trapezoidal estimate
CSV export	Download the full results table in one click
No installation	Fully static — opens in any modern browser, no dependencies

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Tech stack

Frontend

Visualization & math

Fully static — no backend, no build step, no dependencies to install.

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Project structure

Kinetic-Drive/
├── index.html              ← markup only
├── logo_app.png
├── logo.png
├── Datos.csv               ← sample CHO fed-batch dataset (real experimental data)
└── src/
    ├── css/
    │   └── app.css         ← all custom styles
    └── js/
        ├── app.js          ← all application logic
        └── translations.js ← translation strings (ES / EN)

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Author

Emiliano Balderas Ramírez Bioengineer · PhD Candidate in Biochemical Sciences Instituto de Biotecnología (IBt), UNAM

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Related

CellSplit — Neubauer cell counting and passage planning for CHO cultures.

Clonalyzer 2 — fed-batch kinetics analysis with clone comparisons and publication-ready plots.

CellBlock — shared biosafety cabinet scheduling for cell culture research groups.

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Kinetic Drive — from raw sampling data to per-cell kinetics, in the browser.