A group of academics who may have finally lost it

The Proteolipid Code

Arguably the largest cellular code in terms of mass, volume, and number of components. We said arguably. Please don't email us.

#1Largest cellular code*
3Models displaced
Exasperation (Joules)
1Unifying theory (sorry)
Scroll if you dare

What Is the Proteolipid Code?

The proteolipid code lives in a topological space and is responsible for the subcellular organization of proteins, lipids, and other biomolecules, as well as the interactions of cells to form tissues and organs. It incorporates the ubiquitin, glycan, and phosphoinositide codes, among others.

Yes, we just said "topological space" on a homepage. No, we will not apologize. If you wanted accessible science communication, you came to the wrong membrane.
Proteolipid code framework

The proteolipid code framework. Not shown: the tears shed developing it.

Figure 2d — Kervin TA, Overduin M. BMC Biol. 2024. doi:10.1186/s12915-024-01849-6

As a scientific theory, the proteolipid code challenges several previous ideas that have, to put it charitably, underperformed. These include the unmodified lipid raft theory, modified lipid raft theories (yes, there were multiple patches — none of them worked), and the picket-and-fence/tiered mesoscale model.

These frameworks fail to capture the full complexity of biological membranes and are inconsistent with thermodynamics — or, as we like to say, they violate the laws of physics and nobody seemed to mind.

Proteolipid code overview

The proteolipid code at a glance. Each component earns its keep.

Figure 1a — Overduin M et al. Curr Opin Struct Biol. 2025. doi:10.1016/j.sbi.2025.103061

The proteolipid code accounts for the thermodynamic coupling of distinct membrane regions (zones), and is general enough to encompass eukaryotic, prokaryotic, and viral membranes. That's right — it works on everything with a membrane. We're as surprised as you are.

Obituaries for Failed Models

They served the field. Sort of. For a while. We're being generous.

The Lipid Raft Hypothesis

1997 – Ongoing Denial

Cause of death: Thermodynamics

Born from the observation that some lipids cluster together (groundbreaking), the lipid raft hypothesis proposed that cholesterol and sphingolipids form floating platforms in the membrane. Like actual rafts, but less useful for escaping a desert island and more useful for getting papers published. Sadly, rafts turned out to be thermodynamically implausible in living cells — a detail the field cheerfully ignored for two decades. Survived by thousands of citations and an identity crisis.

doi:10.1038/42408

Modified Lipid Raft Theories

2006 – Still twitching

Cause of death: Patch upon patch upon patch

When the original raft hypothesis started taking on water, the field did what any reasonable community would do: they added epicycles. "Rafts are real, they're just smaller!" "Rafts are real, they're just transient!" "Rafts are real, you just can't see them!" At some point, an invisible, transient, nanoscale entity that can't be directly observed is less a hypothesis and more a shared hallucination.

doi:10.1101/cshperspect.a041395

Picket-and-Fence / Tiered Mesoscale

2005 – Quietly retired

Cause of death: Incomplete worldview

An admirable attempt to explain membrane organization through cytoskeletal "fences" and anchored protein "pickets." Think of it as a well-intentioned border wall for lipids. While it correctly identified that the cytoskeleton influences membrane dynamics, it forgot about thermodynamics, lipid diversity, protein-lipid coupling, and — one might argue — the membrane itself. Otherwise, great model.

doi:10.1016/j.tibs.2011.08.001
Zone architecture

Zone architecture of the proteolipid code. Each zone is a distinct thermodynamic entity. Unlike rafts, these actually exist.

Figure 1c — Overduin M et al. Curr Opin Struct Biol. 2025. doi:10.1016/j.sbi.2025.103061

Lipids: Not Just "Structural" and "Signaling"

For decades, membrane biology operated with a taxonomy of lipid function that would embarrass a toddler's crayon box: structural and signaling. Two categories. For thousands of lipid species. Two.

The proteolipid code calls for a reassessment. Lipids play roles that are far more varied, specific, and — dare we say — interesting:

FingerprintsIsleprintsVoidsGlueAntagonistsCodons...and more

Each lipid group plays a unique role in organizing membrane components. This is the part where we'd normally say "see our paper for details," but honestly, just saying the word "isleprint" at a conference is worth the look on people's faces alone.

Proteolipid code components

The components in action. Every lipid has a job. Some have several.

Figure 2b — Kervin TA, Overduin M. BMC Biol. 2024. doi:10.1186/s12915-024-01849-6

Codes Within the Code

The proteolipid code doesn't replace other biological codes — it subsumes them. Like a corporate merger, but for biochemistry and with significantly less shareholder value.

CodeWhat It DoesStatusOur Honest Assessment
Ubiquitin CodeTags proteins for degradation, trafficking, signalingINCORPORATEDThe postal service of the cell. Surprisingly reliable.
Glycan CodeCell recognition, immune modulation, protein foldingINCORPORATEDBewilderingly complex. Glycobiologists seem fine. We worry about them.
Phosphoinositide CodeMembrane identity, vesicle trafficking, signalingINCORPORATEDSeven lipids, infinite drama. Classic.
OthersVariousINCORPORATEDWe'll get to them. Give us a minute.

Universal Scope

Unlike previous models that were suspiciously specific to mammalian cell biology, the proteolipid code is general enough to encompass:

🧬
Eukaryotes
🦠
Prokaryotes
🔬
Viruses
🫠
Reviewer 2

Yes, We Proposed a "Unifying Theory"

We are painfully aware that proposing a unifying framework in biology is roughly as socially acceptable as bringing a guitar to a dinner party. The academic community traditionally greets such ambitions with the warmth of a lipid bilayer at 4°C.

And yet here we are. We've checked the thermodynamics. We've checked them again. We've looked at the data from every domain of life. We've considered that we might be wrong, found it theoretically possible but empirically unlikely, and decided to proceed anyway.

If you disagree, we welcome constructive feedback, spirited debate, and — if absolutely necessary — strongly worded emails written in the passive voice.

* "Largest cellular code" is measured by mass, volume, and number of components. If you have a larger one, congratulations, and also please share your data because we'd love to see it.

What Could This Actually Do?

Our framework could someday — someday, we're managing expectations here — be used for:

🎯 Targeted Membrane Therapies

Design new therapies that control and target membrane zonation. Instead of blasting entire cells, actually understand which membrane zone to talk to.

Confidence: Cautiously optimistic

🧠 Explain How Brains Work

Membranes are fundamental to neural function. If we understand the proteolipid code, we might finally understand brains. This claim is either visionary or delusional. Possibly both.

Confidence: Aspirational

💻 Realistic Simulations of Life

Inform simulations that actually respect thermodynamics. Unlike most of the simulations currently running. We're looking at you, CG models with implicit membranes.

Confidence: Give us a decade

"The membrane is not a sea with rafts. It is not a fence with pickets. It is a code — written in lipids and proteins, read by every cell on earth, and apparently decipherable only by people willing to be laughed at for a while."— Us, probably at a conference, definitely after coffee

Making Membranes Tractable to Informatics

The future of structural biology requires new theoretical frameworks. It should someday be possible to create detailed models of entire cells and organisms with data-driven AI/ML. Therefore, we are making membranes tractable to informatics. Or at least trying very hard.

Sheaf-Theoretical Foundation

Because regular mathematics wasn't intimidating enough, we're formalizing the proteolipid code using sheaf theory. If you know what a sheaf is, you're already on the team. If you don't, that's fine — neither did we until recently.

Full details coming soon. We're still recovering from the category theory.

Database

A comprehensive database of proteolipid interactions, because apparently nobody else was going to build one.

Under construction. Like most of membrane biology's theoretical foundations.

Simulations

Computational simulations that actually respect the thermodynamic constraints we keep complaining about. Novel concept, we know.

In development. Turns out simulating reality is hard when you insist on being accurate.

The Paper Trail

Every revolution needs receipts. Here are ours.

Preprints

Hot off the press. Peer review pending. Anxiety levels: elevated.

Kervin, T. A. Factory Reset: How to Uninstall Lipid Raft Bloatware and Migrate to the Proteolipid Code. Zenodo (2026).

doi:10.5281/zenodo.18225636

Kervin, T.A. Sheaf-theoretic representation of the proteolipid code. arXiv preprint arXiv:2512.23784 (2025).

doi:10.48550/arXiv.2512.23784

Kervin, T.A., Mangalam, M. Lessons from pseudoscience in biology. (2025).

ResearchGate

Kervin, T.A. No phases? No phase separation. Zenodo (2025).

doi:10.5281/zenodo.17201252

Kervin, T.A. A unifying membrane model. Zenodo (2025).

doi:10.5281/zenodo.16965151

Kervin, T.A. Lipid antagonists regulate protein clustering. Zenodo (2025).

doi:10.5281/zenodo.16893614

Selected Publications

The ones that survived peer review. Battle-tested.

Overduin, M. et al. Deciphering the language of mingling lipids and proteins. Curr. Opin. Struct. Biol. 92, 103061 (2025).

doi:10.1016/j.sbi.2025.103061

Kervin, T.A., Overduin, M. Membranes are functionalized by a proteolipid code. BMC Biol 22, 46 (2024).

doi:10.1186/s12915-024-01849-6

Overduin, M., Kervin T.A. The phosphoinositide code is read by a plethora of protein domains. Expert Rev Proteomics 18(7):483-502 (2021).

doi:10.1080/14789450.2021.1962302

People

A small but determined group of individuals who looked at the state of membrane biology and thought, "We can fix this." Results pending.
Troy Kervin

Troy Kervin

DPhil Student, University of Oxford

Troy wants to build a unifying framework for membrane biology that accommodates heterophilic data and makes useful predictions. He is also the person most likely to compare lipid rafts to pseudoscience at dinner.

Michael Overduin

Michael Overduin

Professor, University of Alberta

Michael studies phosphoinositide binding proteins and leads the SMALP network for capturing membrane proteins in nanodiscs with amphiphilic copolymers. Has been dealing with membrane proteins longer than most of us have been alive.

Peijun Zhang

Peijun Zhang

Professor, University of Oxford

Peijun is the Director of the electron Bio-Imaging Centre (eBIC), Diamond Light Source, and studies membrane-virus interactions as well as membrane proteins such as bacterial chemoreceptors and T-cell receptors. Sees things the rest of us can only model.

Ziyao Zhang

Ziyao Zhang

DPhil Student, University of Oxford

Ziyao studies challenging problems in numerical fluid mechanics including drop impact and aerodynamics, and is helping write simulations for the proteolipid code. Somehow made membranes into a fluid dynamics problem. We respect it.

Jack Jingyuan Zheng

Jack Jingyuan Zheng

Postdoctoral Fellow, Johns Hopkins

Jack studies interactions between plasma proteins and the membrane surface of extracellular vesicles — the "protein corona." Currently designing classifier models to label soft and hard corona using mathematical models and experimental data.

More collaborators welcome. Especially if you bring your own thermodynamics textbook.

Anticipated Objections

Meaningful dialogue on the proteolipid code has been limited so far, in part because the framework is still new and its implications span several areas of membrane biology. Thoughtful questions and critiques are welcome.

Troy Kervin


"Why consider a unifying model for membrane biology?"

Membrane biology is exceptionally rich in data but remains theoretically fragmented. A coherent, mechanistic framework can help integrate diverse findings, guide experimental design, and inspire new technologies. The proteolipid code is informed by philosophy of science, aiming for clarity, falsifiability, and explanatory power.

Many recent articles continue to operate within pre-code assumptions, for example:

  • Rappoport A. A Lipid-Raft Theory of Alzheimer's Disease. Annu Rev Biochem. 2025.
  • Mukhamedova N. et al. Targeting the ARF6-dependent recycling pathway to alter lipid rafts. J Lipid Res. 2025.
  • Juarez-Contreras I. et al. Structural dissection of ergosterol metabolism reveals a pathway optimized for membrane phase separation. Sci Adv. 2025.

"The proteolipid code is too simple to be useful."

The flagship paper presents the essential core at an intentionally accessible level. The aim was to articulate first principles clearly rather than introduce a prematurely complex model. The framework is expected to grow more specific and quantitatively detailed over time.

Translation: we started simple on purpose. Complexity is easy. Clarity is hard. We chose hard.

"How can the proteolipid code be falsified?"

The framework is empirically testable and could be falsified by:

  1. Showing that lipids self-assemble into submembrane platforms that recruit proteins after such platforms have formed. This would support a "lipid-only" mechanism and contradict the co-deterministic premise.
  2. Discrediting the lipid fingerprint concept (ACS Cent Sci. 2018). If proteins don't exhibit unique lipid distributions, the central organizing principle would not hold.
We put falsification criteria on our own website. How many theories do that? (Don't check. Just trust us.)

Dispatches from the Membrane Front

Soon to come. We've been busy doing the science. The PR department (also us) is understaffed.

In the meantime, follow the latest through our publications page, which updates whenever we survive another round of peer review.

Get in Touch

Troy Kervin would be delighted to answer any questions about the proteolipid code:

troy.kervin@magd.ox.ac.uk

Constructive criticism welcome. Strongly worded defenses of lipid rafts will be read with great amusement and filed accordingly.