PoL I: Quantitative problems, dimensions, and units


Richard Neher
Biozentrum, University of Basel


slides at neherlab.org/PoLI_2026_week01_UnitsAndLaws.html

Physics of Life I

Part I

Weeks 1–7
Richard Neher
Richard Neher

Part II

Weeks 8–14
Sebastian Hiller
Sebastian Hiller

Part I – weeks 1–7

How general physical principles govern the organization of biological processes
  • Scales and units: sizes, energies, concentrations, orders of magnitude
  • Dynamical systems: differential equations to describe biology
  • Gene regulation: transcription factor binding and genetic circuits
  • Random walks and diffusion: fluxes, Stokes-Einstein relation
  • Polymers: DNA and the cytoskeleton

Part II – weeks 8–14

Physical concepts to describe molecular processes of life quantitatively
  • Classical thermodynamics: states, kinetic gas theory, entropy
  • Statistical thermodynamics: Maxwell-Boltzmann and Gibbs distributions
  • Thermodynamic potentials: the four laws of thermodynamics
  • Calorimetry and binding reactions: ITC, Scatchard analysis
  • Reaction coupling and cooperativity: ATP, Hill equation, hemoglobin
  • Stability of biomolecules: protein stability and denaturation
  • Reaction kinetics, enzymes

Biology is much more complex than Physics

Physics is most effective in simple and controlled systems
  • Laws of physics connect fundamental particles and forces.
  • These laws explain properties of simple systems and homogeneous matter
  • Good understanding of systems at equilibrium or isolated systems
  • These laws also govern complex systems, but the connection between the laws and the behavior is hard to decipher
Biological complexity
  • Biological systems evolved -- layering complexity
  • Cells consist of thousands of molecular species, interacting in complicated ways
  • Biology is always in flux.

Physics vs Biology

Jacobi coordinates of a two-body system Wikipedia, by Brews Oshare
  • Equations that govern the dynamics
  • Exact predictions of future configuration
Map of cellular signal transduction pathways Wikipedia, by cybertory
  • Long, but incomplete, list of components
  • Only qualitative description of interactions

From description to quantitative understanding!

Quantitative questions

  • How many human cells are in your body?
  • How many other cells?
  • How many ribosomes/signaling molecules are in a cell?
  • How do genes regulate each other?
  • How rapidly does a protein move from one end of the cell to another?
  • What fraction of transcription factors is bound to DNA?
  • What are the speed limits for biochemical reactions?
  • How are polarities and developmental gradients set up?
  • Not: Gene X causes Y
  • But: 20% faster diffusion of gene X extends the gradient by $20\mu m$

Dimensions and units

Dimensions
  • length
  • weight
  • energy
  • current
  • force
  • temperature
  • ....
Units:
  • length: meters, miles, feet, Angstrom
  • weight: grams, stones,
  • energy: Joules, calories
  • current: ampere
  • force: Newton
  • temperature: Celsius, Kelvin
  • ....
  • Dimensions describe the nature of a quantity
  • Units are conventions to measure them

Comparing quantities

  • Only quantities of the same dimension can be compared: length $X$ is greater than length $Y$ etc. There is no sense is which length $X$ can be greater than weight $Y$.
  • Units are conventions -- there is nothing fundamental about them.
  • Some unit systems are more convenient than others.
  • Everyday units are often inconvenient for biological processes
  • We can pick units to make things as simple as possible

High level aims of this course

  • Understand how physics constrains biological processes.
  • Draw connections between processes at the molecular, organelle, cellular, and organism level.
  • Enable you to reason quantitatively about biological problems.

A word on AI

These skills is what you are here to acquire – and no AI can acquire it for you.

Don't use AI as a shortcut

  • Everything in this course is well known – an LLM solves every exercise instantly.
  • An AI solution of an exercise might earn you the points, but you have missed a learning opportunity.
  • Getting stuck, and getting unstuck, is where the learning happens.
  • You want to be the one in the driver seat -- that takes work!

AI as a tutor

  • Ask for a hint, not for the solution.
  • Ask it to explain the same idea in three different ways.
  • Solve it yourself first, then ask it to find your error.
  • When programming, outline the algorithm first for yourself. Make sure to keep it simple.
AI homework, D. Strömberg et al., preprint June 2026 via the economist