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Agent Skill · AI 工具

binding-characterization(结合表征)

binding-characterization 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

binding-characterization 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 1,619。

总安装 569周安装 23GitHub Stars 125下载 178核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:binding-characterization(结合表征)
来源仓库:https://github.com/adaptyvbio/protein-design-skills
仓库路径:skills/binding-characterization
安装命令:
npx skills add https://github.com/adaptyvbio/protein-design-skills --skill binding-characterization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptyvbio/protein-design-skills --skill binding-characterization

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

比较 SPR 与 BLI 技术在亲和力测定中的优劣,指导实验方案选择。适合评估结合动力学与样品消耗,平衡灵敏度与通量需求。提供决策矩阵与典型应用场景,如抗体表征优选 BLI 高通量模式。实验设计需考虑样品纯度与缓冲体系兼容性,避免假阳性结合信号。

binding-characterization 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/binding-characterization

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/adaptyvbio/protein-design-skills --skill bindi…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

binding-characterization 怎么安装?

在终端执行 npx skills add https://github.com/adaptyvbio/protein-design-skills --skill binding-charact…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

binding-characterization 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

binding-characterization 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

binding-characterization 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

binding-characterization 用的人多吗?

公开数据是累计安装 569 次,近一周安装 23 次,下载 178 次,GitHub 125 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

binding-characterization 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
binding-characterization

结合表征 · 本页

569125只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

Claude Code

29.56%
按下载量换算53

Codex

24.23%
按下载量换算43

OpenCode

16.18%
按下载量换算29

Gemini CLI

12.75%
按下载量换算23

Antigravity

6.94%
按下载量换算12

windsurf

3.47%
按下载量换算6

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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