binding-characterization
Guidance for SPR and BLI binding characterization experiments.
Skill by BioTender-max
Chalk Labs
Need help deploying binding-characterization?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/biotender-max-binding-characterization
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
binding-characterization- Description
- 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.
- License
- MIT
- Instructions
- 223 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Binding Characterization: SPR and BLI ## SPR vs BLI Decision Matrix | Factor | Choose SPR | Choose BLI | |--------|------------|------------| | **Sensitivity** | Small molecules, fragments (<500 Da) | Large complexes, antibodies | | **Throughput** | Low-medium (serial) | High (96-well parallel) | | **Sample purity** | Required (clogs fluidics) | Tolerates crude lysates | | **Kinetic resolution** | Higher (better for fast kinetics) | Lower | | **Mass transport** | More sensitive (may distort kon) | Less sensitive | | **Maintenance** | High (fluidics system) | Low (dip-and-read) | | **Sample consumption** | Higher (continuous flow) | Lower | | **Cost per experiment** | Lower chip cost, higher run cost | Higher 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 | Cause | Mechanism | Solution | |-------|-----------|----------| | **Hydrophobic CDRs** | Adsorb to SPR gold/dextran surface | Add 0.05% Tween-20, use CM7 chip with longer dextran | | **Aggregation** | Mass transport artifacts in SPR fluidics | Filter sample (0.22μm), reduce ligand density | | **High instability** | Degrades during continuous flow | Shorter cycle time, add stabilizers (trehalose 5%) | | **Charge mismatch** | Nonspecific binding to charged dextran | Adjust buffer pH ±1 from pI, add BSA 1mg/mL | | **Slow dissociation** | Long regeneration needed (damages ligand) | Use BLI (disposable tips) | ### Why SPR works but BLI doesn't | Cause | Mechanism | Solution | |-------|-----------|----------| | **Small analyte** | BLI less sensitive for <10 kDa | Use SPR with appropriate chip | | **Weak affinity (KD >10μM)** | Fast dissociation in BLI dip | Increase analyte concentration | | **Low expression** | Not enough signal | Increase 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 | Strategy | SPR | BLI | |----------|-----|-----| | Reduce ligand density | <200 RU for high-affinity | <0.5 nm shift loading | | Increase flow rate | 50-100 μL/min | Increase shake speed (1000 rpm) | | Use oriented immobilization | His-tag capture | Biotinylated ligand | | Include in fitting | Mass transport model (kt) | Usually less critical | --- ## Nonspecific binding mitigation ### Buffer additives (ranked by effectiveness) | Additive | Concentration | Mechanism | Best For | |----------|---------------|-----------|----------| | BSA | 0.5-1 mg/mL | Blocks hydrophobic sites | General use | | Tween-20 | 0.02-0.05% | Prevents surface adsorption | Hydrophobic analytes | | Trehalose | 1-5% | Stabilizes + blocks | Unstable proteins | | Sucrose | 5% | BLI-specific blocker | BLI tips | | Carboxymethyl dextran | 1 mg/mL | Competitive blocking | SPR with charged proteins | | NaCl | 150-500 mM | Reduces ionic interactions | Charged 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) | Condition | Targets | Caution | |-----------|---------|---------| | 10 mM Glycine pH 2.0-2.5 | Most protein-protein | May denature ligand | | 10 mM Glycine pH 1.5 | Strong interactions | Harsh, limit exposure | | 1-2 M NaCl | Ionic interactions | Mild, try first | | 10 mM NaOH | Very stable ligands | Can hydrolyze proteins | | 10 mM Glycine pH 9-10 | Acid-stable proteins | Can aggregate | | 10 mM EDTA | His-tag, metal-dependent | Strips Ni-NTA | | 4 M MgCl2 | Hydrophobic interactions | Check ligand stability |
From BioTender-max/awesome-bio-agent-skills, MIT.
More from BioTender-max/awesome-bio-agent-skills
- 0.513score
alphafold2-multimer
BioTender-max
AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
chai1-structure-prediction
BioTender-max
Chai-1 structure prediction for protein complexes and design validation.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
protein-qc
BioTender-max
Quality control metrics and filtering thresholds for protein design.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
rfdiffusion
BioTender-max
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
proteina-complexa
BioTender-max
Proteina-Complexa flow-based protein backbone generation with fold-conditioned sampling guidance.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
end-to-end-protein-design-workflow
BioTender-max
End-to-end protein design pipeline guide across preparation, generation, validation, and filtering.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
boltzgen
BioTender-max
All-atom protein design using BoltzGen diffusion model.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
protein-design-workflow
BioTender-max
End-to-end guidance for protein design pipelines.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
chai
BioTender-max
Structure prediction using Chai-1, a foundation model for molecular structure.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
proteinmpnn
BioTender-max
Design protein sequences using ProteinMPNN inverse folding.
SkillCFreshness: C★ 206Claude Code +9 - 0.510score
binder-design-tool-selection
BioTender-max
Binder design tool selection and workflow routing guidance.
SkillCFreshness: C★ 206Claude Code +9 - 0.510score
protein-design-qc
BioTender-max
Protein design quality control, filtering thresholds, and ranking guidance.
SkillCFreshness: C★ 206Claude Code +9
Signals
- Stars
- 206
- Forks
- 36
- Open issues
- 1
- Last commit (this folder)
- May 25, 2026 (5 months ago)
- Last release
- Jul 1, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from BioTender-max
- 0.513score
protein-qc
BioTender-max
Quality control metrics and filtering thresholds for protein design.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
proteinmpnn
BioTender-max
Design protein sequences using ProteinMPNN inverse folding.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
chai
BioTender-max
Structure prediction using Chai-1, a foundation model for molecular structure.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
protein-design-workflow
BioTender-max
End-to-end guidance for protein design pipelines.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
boltzgen
BioTender-max
All-atom protein design using BoltzGen diffusion model.
SkillCFreshness: C★ 206Claude Code +9 - 0.513score
rfdiffusion
BioTender-max
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation.
SkillCFreshness: C★ 206Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get binding-characterization running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
binding-characterization skill. Agent Mart. https://agentmart.dev/skills/biotender-max-binding-characterization (last updated 2026-10-24)