The Proteolipid Code

A project to restore empirical legitimacy to membrane biology, currently held intellectually hostage by the unfalsifiable, evidence-averse, and spectacularly self-congratulatory lipid raft delusion.

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Membrane Biology Is Broken

Membrane biology is in a state of theoretical emergency. The lipid raft hypothesis, the idea that cholesterol and sphingolipids spontaneously form submembrane platforms that recruit proteins, got the execution order backwards. Lipids do not self-organize into submembrane platforms that summon proteins. Proteins and lipids co-organize from the outset. This is not a subtle distinction. It is the difference between a theory and a fantasy, and the field built on the fantasy for three decades.

The Proteolipid Code Is a Fix

The proteolipid code restores the correct execution order. Every protein has a characteristic lipid fingerprint. Lipids serve as glue, antagonists, codons, and more. Together, they define distinct membrane zones. The framework incorporates the ubiquitin, glycan, and phosphoinositide codes and applies to eukaryotic, prokaryotic, and viral membranes alike.

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

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

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: Reality

The lipid raft hypothesis proposed that cholesterol and sphingolipids spontaneously coalesce into submembrane zones which then recruit proteins. Lipids first, proteins second. This is backwards. Proteins and lipids co-organize from the outset. No one has ever demonstrated a lipid-only raft forming first and recruiting a protein to it in a living cell. The field treated this absence of evidence not as a problem but as an invitation to keep looking, which is the scientific equivalent of insisting your imaginary friend is just very shy. Survived by an embarrassing volume of citations and the sunk-cost fallacy.

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 Model

2005 – Quietly retired

Cause of death: Overengineered irrelevance

A baroque contraption proposing that cytoskeletal "fences" and anchored protein "pickets" corral lipids into compartments. Think Rube Goldberg, but for membranes. The so-called "hop diffusion" it invoked turns out to be a general feature of crowded membranes, not a picket fence required. A needlessly complex model that somehow managed to explain membrane organization without meaningfully accounting for the membrane.

doi:10.1146/annurev.biophys.34.040204.144637

Tiered Mesoscale Model

2012 – Dead on delivery

Cause of death: Doubled down on a losing hand

When the picket-and-fence model didn't quite work, the solution was apparently to make it bigger. The tiered mesoscale model layered additional complexity onto an already shaky foundation (ad hoc modifications stacked on analogical reasoning), achieving the rare feat of being both more complicated and less explanatory than what it replaced.

doi:10.1016/j.tibs.2011.08.001

Shelby-Veatch Model

2023 – Prognosis terminal

Cause of death: Correlation mistaken for causation

Shelby, Veatch, and colleagues proposed that eukaryotic membranes are poised near a critical point of phase separation, making this the organizing principle of the cell surface. The model rejects lipid fingerprints (the observation that each protein is surrounded by a characteristic lipid environment) and instead assumes proteins sit in homogeneous regions that interpolate between two artificial phases. The evidence derives from model membranes and infers causation from correlation, without the control groups needed to rule out simpler explanations. A framework built on binary phases in synthetic systems is not a theory of the living membrane.

doi:10.5281/zenodo.17201252

The "Functional Paralipidome"

2023 – Dead on arrival

Cause of death: Internally inconsistent; forgot about solvent

Lipid fingerprints were established by Corradi V et al. The functional paralipidome is a renaming by investigators sympathetic to the raft framework who could not accept that a raft skeptic was advancing the field. Even its own authors concede the overlap. The definition is inconsistent: the paralipidome is called "the local lipid environment" but its energetic content is equated with ΔGP–L alone, excluding the ΔGL–L term in the same framework. Elsewhere it is treated as a component within the fingerprint rather than equivalent to it. The free energy decomposition omits solvent contributions entirely, and the ΔGL–L term is undefined. The model claims to be predictive but offers no falsification criteria.

doi:10.1038/s41580-022-00524-4
Zone architecture

Zone architecture of the proteolipid code. Each zone is a distinct 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
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 maintains a respectful, collegial relationship with the genetic code. It has not extended the same courtesy to the others. The ubiquitin code, the glycan code, and the phosphoinositide code each governed their own small territories of membrane biology — admirably, in some cases — but the era of independent operation is over. The proteolipid code has absorbed them all into a single unified jurisdiction. Resistance was not a factor. There was nothing to resist. A superior organizational framework simply arrived, and the former codes now operate under its authority, retaining their local functions but reporting to a higher structure. This is not a merger of equals.

CodeFormer PurposeStatusTerms of Absorption
Ubiquitin CodeTags proteins for degradation, trafficking, signalingASSIMILATEDCooperated immediately. Retained operational autonomy. Now serves as a regional governor under the new order.
Glycan CodeCell recognition, immune modulation, protein foldingASSIMILATEDBewilderingly complex, but complexity is not sovereignty. Integrated without incident. Glycobiologists have been offered counseling.
Phosphoinositide CodeMembrane identity, vesicle trafficking, signalingASSIMILATEDSeven lipids governing an outsized bureaucracy. Folded neatly into the regime once the org chart was made clear.
OthersVariousPENDINGAnnexation is ongoing. Compliance is expected. Timetable at our discretion.

Why We're Allowed to Do This

Proposing a unifying theory and absorbing other codes into it is obnoxious. We know. But the proteolipid code makes two falsifiable predictions, which is the minimum price of admission for calling something a theory.

Falsifiable Prediction #1: Each Protein Has a Lipid Fingerprint

Every membrane protein is surrounded by a characteristic set of lipids. The Shelby-Veatch model says the opposite: proteins sit in homogeneous lipid regions determined by bulk phase behavior. Show that membrane proteins lack distinct lipid fingerprints and the proteolipid code is dead.

Corradi V et al. ACS Cent. Sci. 2018. doi:10.1021/acscentsci.8b00143

Falsifiable Prediction #2: Proteins Are Not Recruited to Lipid-Only Platforms

Lipids do not spontaneously form submembrane platforms that then recruit proteins. Proteins and lipids co-organize from the start. This contradicts the original lipid raft hypothesis. Show that a lipid-only platform forms first and recruits proteins to it in a living cell and the proteolipid code is dead.

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. The idea is that local proteolipid data — lipid fingerprints, binding affinities, zone compositions — can be organized into sheaves over topological spaces representing the membrane. This lets us glue local measurements into globally consistent structures, formalize what it means for codes to be "compatible," and detect obstructions to extending local organization globally. 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.

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

doi:10.48550/arXiv.2512.23784

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 are actually consistent with experimental data. 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.

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.

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.

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.

Jack Jingyuan Zheng

Jack Jingyuan Zheng

Postdoctoral Fellow, Johns Hopkins School of Medicine

Jack studies interactions between plasma proteins and the membrane surface of extracellular vesicles, better known as the "protein corona". He is currently working to design a classifier model to label soft and hard corona using mathematical models and experimental data for better biomarker screening.

More collaborators welcome.

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.