本文へ移動
cccskills
無料GitHub で公開

binding-characterization

Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md8.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Binding Characterization: SPR and BLI

SPR vs BLI Decision Matrix

FactorChoose SPRChoose BLI
SensitivitySmall molecules, fragments (<500 Da)Large complexes, antibodies
ThroughputLow-medium (serial)High (96-well parallel)
Sample purityRequired (clogs fluidics)Tolerates crude lysates
Kinetic resolutionHigher (better for fast kinetics)Lower
Mass transportMore sensitive (may distort kon)Less sensitive
MaintenanceHigh (fluidics system)Low (dip-and-read)
Sample consumptionHigher (continuous flow)Lower
Cost per experimentLower chip cost, higher run costHigher tip cost, lower run cost

Key differences

SPR (Surface Plasmon Resonance)

  • Mechanism: Detects refractive index changes at gold surface
  • Surface: Gold chip with dextran matrix (CM5, CM7, etc.)
  • Flow: Continuous microfluidics
  • Best for: Small molecules, high-affinity, precise kon/koff

BLI (Biolayer Interferometry)

  • Mechanism: Measures optical interference pattern shift
  • Surface: Fiber optic biosensor tips (SA, Ni-NTA, AHC)
  • Flow: Dip-and-read (no microfluidics)
  • Best for: High-throughput, crude samples, antibody screening

Troubleshooting: Why BLI works but SPR doesn't

CauseMechanismSolution
Hydrophobic CDRsAdsorb to SPR gold/dextran surfaceAdd 0.05% Tween-20, use CM7 chip with longer dextran
AggregationMass transport artifacts in SPR fluidicsFilter sample (0.22μm), reduce ligand density
High instabilityDegrades during continuous flowShorter cycle time, add stabilizers (trehalose 5%)
Charge mismatchNonspecific binding to charged dextranAdjust buffer pH ±1 from pI, add BSA 1mg/mL
Slow dissociationLong regeneration needed (damages ligand)Use BLI (disposable tips)

Why SPR works but BLI doesn't

CauseMechanismSolution
Small analyteBLI less sensitive for <10 kDaUse SPR with appropriate chip
Weak affinity (KD >10μM)Fast dissociation in BLI dipIncrease analyte concentration
Low expressionNot enough signalIncrease biosensor loading

Mass transport considerations

Mass transport limitation occurs when analyte cannot diffuse to the surface fast enough to maintain equilibrium. This distorts kinetic parameters.

Symptoms

  • Observed kon appears slower than true kon
  • Linear association phase (instead of exponential)
  • kon varies with ligand density
  • Rmax varies with flow rate

When mass transport matters

  • High-affinity interactions (kon >10^6 M^-1s^-1)
  • High ligand density (>500 RU)
  • Slow flow rates (<30 μL/min in SPR)
  • Large analytes (slow diffusion)

Mitigation strategies

StrategySPRBLI
Reduce ligand density<200 RU for high-affinity<0.5 nm shift loading
Increase flow rate50-100 μL/minIncrease shake speed (1000 rpm)
Use oriented immobilizationHis-tag captureBiotinylated ligand
Include in fittingMass transport model (kt)Usually less critical

Nonspecific binding mitigation

Buffer additives (ranked by effectiveness)

AdditiveConcentrationMechanismBest For
BSA0.5-1 mg/mLBlocks hydrophobic sitesGeneral use
Tween-200.02-0.05%Prevents surface adsorptionHydrophobic analytes
Trehalose1-5%Stabilizes + blocksUnstable proteins
Sucrose5%BLI-specific blockerBLI tips
Carboxymethyl dextran1 mg/mLCompetitive blockingSPR with charged proteins
NaCl150-500 mMReduces ionic interactionsCharged proteins

pH optimization

  • Keep buffer pH at least 1 unit away from analyte pI
  • pI near 7: Use pH 6.0 or 8.0 buffer
  • Acidic proteins (pI <5): Use neutral or basic buffer
  • Basic proteins (pI >9): Use slightly acidic buffer

Reference subtraction

Always include:

  • Blank reference channel (no ligand)
  • Buffer-only injections
  • Non-specific binding controls

Regeneration conditions

SPR regeneration scouting (try in order)

ConditionTargetsCaution
10 mM Glycine pH 2.0-2.5Most protein-proteinMay denature ligand
10 mM Glycine pH 1.5Strong interactionsHarsh, limit exposure
1-2 M NaClIonic interactionsMild, try first
10 mM NaOHVery stable ligandsCan hydrolyze proteins
10 mM Glycine pH 9-10Acid-stable proteinsCan aggregate
10 mM EDTAHis-tag, metal-dependentStrips Ni-NTA
4 M MgCl2Hydrophobic interactionsCheck ligand stability

Regeneration protocol

  1. Start with mildest condition (high salt)
  2. Test 30s contact time
  3. Verify complete dissociation (return to baseline)
  4. Verify retained ligand activity (repeat binding)
  5. Use shortest effective contact time

BLI tips

  • Tips are often disposable (no regeneration needed)
  • For reuse: Same conditions as SPR, but shorter exposure
  • Anti-His tips: 10 mM Glycine pH 1.5, 30s
  • Streptavidin tips: Generally not regenerable

Common artifacts and solutions

Biphasic binding

Symptoms: Two-rate association or dissociation Causes:

  • Sample heterogeneity (aggregates)
  • Ligand heterogeneity (multiple conformations)
  • Avidity effects (bivalent analyte)

Solutions:

  • Filter/centrifuge sample
  • Use monovalent Fab fragments
  • Reduce ligand density
  • Fit to heterogeneous model

Negative dissociation

Symptoms: Signal increases during dissociation phase Causes:

  • Ligand leaching from surface
  • Analyte aggregation on surface
  • Reference channel drift

Solutions:

  • Use capture antibody instead of direct immobilization
  • Increase buffer stringency
  • Better reference subtraction

Hook effect

Symptoms: Signal decreases at high analyte concentrations Causes:

  • Surface saturation + rebinding suppression
  • Crowding effects

Solutions:

  • Reduce analyte concentration range
  • Reduce ligand density
  • Use smaller analyte fragments

Kinetic data quality checklist

Before analysis

  • Reference-subtracted properly
  • Buffer injection shows flat baseline
  • Rmax consistent across concentrations
  • No systematic drift during association
  • Complete regeneration (return to baseline)
  • Duplicate/triplicate injections consistent

Fitting quality

  • Residuals randomly distributed (no systematic deviation)
  • Chi² < 10% of Rmax (or < 1 RU² for low signals)
  • kon and koff errors < 20% of values
  • KD from kinetics matches equilibrium KD (within 3-fold)
  • Fitted Rmax reasonable (close to theoretical)

Red flags

  • kon approaching mass transport limit (>10^7 M^-1s^-1)
  • koff faster than data acquisition (< 0.01 s^-1 requires faster sampling)
  • Rmax >> theoretical maximum (aggregation or avidity)
  • Large difference between kinetic and equilibrium KD

References

Platform comparisons

SPR protocols

Troubleshooting

Regeneration

Mass transport

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

adaptyv

無料

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

日本語の概要は準備中です。原文の説明を表示しています。

FreedomIntelligence/OpenClaw-Medical-Skills3,0592026年7月21日 更新

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

日本語の概要は準備中です。原文の説明を表示しています。

FreedomIntelligence/OpenClaw-Medical-Skills3,0592026年7月21日 更新

aeon

無料

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

日本語の概要は準備中です。原文の説明を表示しています。

FreedomIntelligence/OpenClaw-Medical-Skills3,0592026年7月21日 更新

Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.

日本語の概要は準備中です。原文の説明を表示しています。

FreedomIntelligence/OpenClaw-Medical-Skills3,0592026年7月21日 更新

AI驱动的综合健康分析系统,整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。

日本語の概要は準備中です。原文の説明を表示しています。

FreedomIntelligence/OpenClaw-Medical-Skills3,0592026年7月21日 更新

alphafold

無料

Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.

日本語の概要は準備中です。原文の説明を表示しています。

FreedomIntelligence/OpenClaw-Medical-Skills3,0592026年7月21日 更新

FreedomIntelligence のスキルをすべて見る

このスキルの問題を報告する