Protein Modeling Concepts

Protein modeling concept는 sequence, evolutionary signal, structure, geometric constraint가 model input과 output으로 바뀌는 과정을 설명합니다.

Protein note의 기본 단위는 항상 먼저 고정합니다.

단위가 바뀌면 representation, split, metric, leakage risk가 같이 바뀝니다.

Protein Modeling Contract

Protein modeling note는 sequence, structure, context, target을 분리해서 적어야 합니다.

PartMeaningTypical question
biological unitresidue, domain, chain, family, pocket, complex, assay row?
sequenceisoform, mutation, construct, truncation, residue indexing?
structure or coordinatesexperimental, predicted, apo, holo, complex, template-derived?
contextMSA, template, pocket, ligand, species, assay, family?
representationtoken embedding, pooled chain embedding, residue graph, pocket graph?
targetresidue label, function, contact, coordinate, binding, affinity, design?
metriclikelihood, accuracy, contact precision, RMSD, ranking, calibration?
split boundarysequence identity, protein family, fold, target, complex, time?

This contract prevents a common error:

Route Map

NeedStartRisk
choose a protein representationProtein representationpooling, tokenization, MSA/template leakage
understand sequence-only pretrainingProtein language model, Multiple sequence alignmentlikelihood confused with fitness
define protein units and groupsProtein domain, Sequence identity clusteringhomologs crossing train/test
connect sequence to structureSequence-structure alignment, Residue indexingresidue mismatches, missing residues, insertion codes
prepare structuresProtein structure cleaningchain selection, alternate locations, unresolved regions
model structureProtein structure prediction, Contact mapbenchmark leakage and coordinate-frame assumptions
model binding contextBinding site, Pocket representationligand-defined pockets and apo/holo mismatch

Task Boundary

Task TypeObject UnitEvidence Boundary
sequence representationresidue, domain, chaindownstream split, pooling rule, homolog control
structure predictionchain, domain, complextemplate/MSA policy, coordinate target, confidence calibration
functional predictionresidue, domain, chain, assay rowlabel semantics, source, family split
binding-site modelingpocket, residue set, local structuresite definition, apo/holo state, deployability
protein-ligand modelingprotein, ligand, pocket, complexprotein-family split plus ligand scaffold or complex split
design/generationsequence, backbone, pocket, complexvalidity, novelty, diversity, downstream experimental gap

Representation Contract

For any protein note, state what the model actually sees:

where is the residue sequence, is optional structure or coordinates, and is context such as MSA, template, pocket, species, assay, ligand, or family.

Input SourceCommon UseMain Public Claim Risk
raw sequenceprotein language models, classification, variant scoringhomolog leakage and family memorization
MSAcoevolution, structure predictiondatabase date and template leakage
experimental structuregeometric modeling, pockets, dockingunavailable-at-deployment information
predicted structurestructure-aware downstream modelcircular evidence and model-bias transfer
pocket or ligand contextbinding, docking, interaction predictionligand-defined pocket leakage

Claim Separation

Protein papers often move between sequence, structure, function, and binding. Keep the claim at the evidence level.

ClaimEvidence neededDoes not prove alone
sequence modelingheld-out sequence likelihood, family split, downstream probestructure accuracy or biological function
representation transferfixed representation, downstream task, split, baselinemechanistic understanding
structure predictioncoordinates, contact/distance, template policy, confidenceligand-ready pocket geometry
binding-site predictionpocket definition, apo/holo policy, localization metricligand pose or affinity
protein-ligand modelingpair representation, complex split, ligand scaffold controlprotein-only or ligand-only generalization
design or generationvalidity, novelty, diversity, downstream assay or structural evidenceexpression, stability, activity, selectivity

When a method uses MSA, templates, predicted structures, or ligand context, state whether those inputs are available at deployment time. Otherwise the benchmark may be easier than the intended use case.

Evidence Strength

Do not read all protein metrics as the same type of evidence.

EvidenceSupportsDoes Not Prove Alone
sequence likelihoodsequence distribution or representation qualitybinding, function, expression, foldability
contact/distance accuracycoarse structural constraintsligand-ready all-atom pocket geometry
backbone accuracyfold-level structure qualityside-chain placement or docking quality
pocket localizationsite-finding under a stated definitionaffinity or pose scoring
downstream benchmark scoretask-specific performancebroad biological generalization

Split and Leakage Controls

ControlWhy
sequence identity thresholdprevents near-identical proteins from crossing train/test
family or domain splittests transfer across homologous groups
template date and database policycontrols structure-prediction leakage
MSA source and depthchanges available evolutionary signal
chain and construct policyprevents silent task changes from truncations or isoforms
complex-pair splitprevents memorizing a protein-ligand or protein-partner pair
pocket definitionligand-defined pockets may use unavailable test information
assay/source splitcontrols label-source shortcuts in functional or binding tasks

Core Concepts

Checks

  • What is the example unit: residue, domain, chain, family, pocket, complex, or assay row?
  • Is the model sequence-only, structure-only, or sequence-structure fused?
  • What is available at inference time: MSA, template, predicted structure, experimental structure, ligand, or pocket?
  • Is sequence likelihood being treated as evidence for function, stability, or binding without downstream validation?
  • Is the pocket representation ligand-defined, predicted, or deployable?
  • Are residue indices aligned across sequence tokens, structure residues, and coordinates?
  • Are homologs and near-duplicate proteins separated across splits?
  • Are missing residues, insertion codes, non-standard residues, and chain IDs handled explicitly?
  • Does the evaluation measure geometry, function, interaction, or downstream task transfer?
  • Is the claim narrowed to the evidence type: sequence, structure, pocket, binding, or function?