A group of academics who may have finally lost it
Arguably the largest cellular code in terms of mass, volume, and number of components. We said arguably. Please don't email us.
Chapter I
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.
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.
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
In Memoriam
They served the field. Sort of. For a while. We're being generous.
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:10.1038/42408Cause 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.a041395Cause 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 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
Chapter II
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:
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.
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
Chapter III
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.
| Code | What It Does | Status | Our Honest Assessment |
|---|---|---|---|
| Ubiquitin Code | Tags proteins for degradation, trafficking, signaling | INCORPORATED | The postal service of the cell. Surprisingly reliable. |
| Glycan Code | Cell recognition, immune modulation, protein folding | INCORPORATED | Bewilderingly complex. Glycobiologists seem fine. We worry about them. |
| Phosphoinositide Code | Membrane identity, vesicle trafficking, signaling | INCORPORATED | Seven lipids, infinite drama. Classic. |
| Others | Various | INCORPORATED | We'll get to them. Give us a minute. |
Chapter IV
Unlike previous models that were suspiciously specific to mammalian cell biology, the proteolipid code is general enough to encompass:
A Necessary Confession
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.
Chapter V
Our framework could someday — someday, we're managing expectations here — be used for:
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
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
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
Research
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.
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.
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.
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.
Publications
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.18225636Kervin, T.A. Sheaf-theoretic representation of the proteolipid code. arXiv preprint arXiv:2512.23784 (2025).
doi:10.48550/arXiv.2512.23784Kervin, T.A., Mangalam, M. Lessons from pseudoscience in biology. (2025).
ResearchGateKervin, T.A. No phases? No phase separation. Zenodo (2025).
doi:10.5281/zenodo.17201252Kervin, T.A. A unifying membrane model. Zenodo (2025).
doi:10.5281/zenodo.16965151Kervin, T.A. Lipid antagonists regulate protein clustering. Zenodo (2025).
doi:10.5281/zenodo.16893614The 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.2025.103061Kervin, T.A., Overduin, M. Membranes are functionalized by a proteolipid code. BMC Biol 22, 46 (2024).
doi:10.1186/s12915-024-01849-6Overduin, M., Kervin T.A. The phosphoinositide code is read by a plethora of protein domains. Expert Rev Proteomics 18(7):483-502 (2021).
doi:10.1080/14789450.2021.1962302The Collaborators

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.

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.

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.

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.

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.
Questions & Critiques
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
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:
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.
The framework is empirically testable and could be falsified by:
News
In the meantime, follow the latest through our publications page, which updates whenever we survive another round of peer review.
Contact
Troy Kervin would be delighted to answer any questions about the proteolipid code: