chem-bond-dissociation
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
Skill by learningmatter-mit
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.
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About
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
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- Secrets
- None asked for
- Install scripts
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- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/chem-bond-dissociation
What's inside
- Skill name
chem-bond-dissociation- Description
- Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
- License
- MIT
- Instructions
- 217 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (58)
- SKILL.md
- README.md · examples/
- README.md · examples/ethanol_mace_off23_small/
- bde_results.json · examples/ethanol_mace_off23_small/
- frag_bond0_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond0_2.xyz · examples/ethanol_mace_off23_small/
- frag_bond1_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond1_2.xyz · examples/ethanol_mace_off23_small/
- frag_bond2_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond2_2.xyz · examples/ethanol_mace_off23_small/
- frag_bond3_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond3_2.xyz · examples/ethanol_mace_off23_small/
- frag_bond4_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond4_2.xyz · examples/ethanol_mace_off23_small/
- frag_bond5_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond5_2.xyz · examples/ethanol_mace_off23_small/
- frag_bond6_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond6_2.xyz · examples/ethanol_mace_off23_small/
- frag_bond7_1.xyz · examples/ethanol_mace_off23_small/
- frag_bond7_2.xyz · examples/ethanol_mace_off23_small/
- intact_relaxed.xyz · examples/ethanol_mace_off23_small/
- README.md · examples/methanol_mace_omol_both/
- bde_results.json · examples/methanol_mace_omol_both/
- frag_bond0_hetero_neg_pos_1.xyz · examples/methanol_mace_omol_both/
- frag_bond0_hetero_neg_pos_2.xyz · examples/methanol_mace_omol_both/
- frag_bond0_hetero_pos_neg_1.xyz · examples/methanol_mace_omol_both/
- frag_bond0_hetero_pos_neg_2.xyz · examples/methanol_mace_omol_both/
- frag_bond0_homo_1.xyz · examples/methanol_mace_omol_both/
- frag_bond0_homo_2.xyz · examples/methanol_mace_omol_both/
- frag_bond1_homo_1.xyz · examples/methanol_mace_omol_both/
- frag_bond1_homo_2.xyz · examples/methanol_mace_omol_both/
- frag_bond2_homo_1.xyz · examples/methanol_mace_omol_both/
- frag_bond2_homo_2.xyz · examples/methanol_mace_omol_both/
- frag_bond3_homo_1.xyz · examples/methanol_mace_omol_both/
- frag_bond3_homo_2.xyz · examples/methanol_mace_omol_both/
- frag_bond4_homo_1.xyz · examples/methanol_mace_omol_both/
- frag_bond4_homo_2.xyz · examples/methanol_mace_omol_both/
- intact_relaxed.xyz · examples/methanol_mace_omol_both/
- README.md · examples/methanol_uma_omol_both/
- bde_comparison.png · examples/methanol_uma_omol_both/
- bde_results.json · examples/methanol_uma_omol_both/
- frag_bond0_hetero_neg_pos_1.xyz · examples/methanol_uma_omol_both/
- frag_bond0_hetero_neg_pos_2.xyz · examples/methanol_uma_omol_both/
- frag_bond0_hetero_pos_neg_1.xyz · examples/methanol_uma_omol_both/
- frag_bond0_hetero_pos_neg_2.xyz · examples/methanol_uma_omol_both/
- frag_bond0_homo_1.xyz · examples/methanol_uma_omol_both/
- frag_bond0_homo_2.xyz · examples/methanol_uma_omol_both/
- frag_bond1_homo_1.xyz · examples/methanol_uma_omol_both/
- frag_bond1_homo_2.xyz · examples/methanol_uma_omol_both/
- frag_bond2_homo_1.xyz · examples/methanol_uma_omol_both/
- frag_bond2_homo_2.xyz · examples/methanol_uma_omol_both/
- frag_bond3_homo_1.xyz · examples/methanol_uma_omol_both/
- frag_bond3_homo_2.xyz · examples/methanol_uma_omol_both/
- frag_bond4_homo_1.xyz · examples/methanol_uma_omol_both/
- frag_bond4_homo_2.xyz · examples/methanol_uma_omol_both/
- intact_relaxed.xyz · examples/methanol_uma_omol_both/
- plot.py · examples/methanol_uma_omol_both/
- calculate_bde.py · scripts/
SKILL.md (first lines)
# Bond Dissociation Energy Skill
## Goal
Calculate the **homolytic** and/or **heterolytic** bond dissociation energy (BDE) for each single bond in a molecule using Machine Learning Interatomic Potentials (MLIPs).
**Homolytic BDE** (radical fragments):
$$\text{BDE}_\text{homo}(A{-}B) = E(A\bullet) + E(B\bullet) - E(A{-}B)$$
**Heterolytic BDE** (ionic fragments, minimum over both polarity variants):
$$\text{BDE}_\text{hetero}(A{-}B) = \min\!\bigl(E(A^+)+E(B^-),\; E(A^-)+E(B^+)\bigr) - E(A{-}B)$$
> [!IMPORTANT]
> This skill computes BDEs by relaxing both the intact molecule and fragments with an MLIP. For purpose-trained GNN models that predict BDE directly from SMILES (MAE ~0.6 kcal/mol), consider [ALFABET](https://bde.ml.nrel.gov) or BonDNet instead.
## Background
BDE is a fundamental thermodynamic quantity that determines:
- **Drug metabolism**: CYP450 enzymes abstract H from the weakest C–H bond
- **Electrolyte stability**: Which bonds break first under electrochemical voltage
- **Combustion chemistry**: Rate-determining bond-breaking steps in fuel oxidation
- **Polymer degradation**: Weakest links in polymer backbone chains
A 2024 study (Zubatyuk et al., *JCTC*) demonstrated that MACE potentials achieve BDE RMSE of 1.37 kcal/mol for aliphatic C–H bonds in drug-like molecules, outperforming semi-empirical methods and ALFABET for BDE **ranking**.
## 1. Prerequisites
- **Environment**: `mlip` (includes RDKit, ASE, and MACE; commands run through `venv/run mlip ...`)
- **Input**: SMILES string or structure file (`.sdf`, `.mol2`)
- **RDKit**: Required for bond identification and molecular fragmentation
## 2. Choosing a Foundation Potential
Refer to the [foundation-potentials skill](../ml-foundation-potentials/SKILL.md) for model selection.
> [!IMPORTANT]
> **Model requirements by cleavage mode:**
>
> | Mode | Recommended model | `supports_charge_spin` | Validated? |
> |:---|:---|:---|:---|
> | `homolytic` | `MACE-OFF23-small/medium/large` | Not required | ✅ |
> | `heterolytic` or `both` | **`MACE-OMOL-extra-large`** (env: `mlip`) | ✅ Required | ✅ |
> | `heterolytic` or `both` | **`MACE-MH-1`** with omol head (env: `mlip`) | ✅ Required | ✅ |
> | `heterolytic` or `both` | FairChem `uma-s-1p1` with `--task_name omol` (env: `fairchem`) | ✅ Required | ✅ |
>
> **Setting charge/spin on MACE models:** use `atoms.info["charge"]` and `atoms.info["spin"]`
> (the calculator's default `info_keys` maps `"charge"` → `total_charge` / `"spin"` → `total_spin`).
> Both MACE-OMOL and MACE-MH use `joint_embedding` to condition the network on these scalars.
>
> If you request `--cleavage both` with a model that does **not** support charge/spin,
> the skill will log a warning and silently fall back to homolytic-only.
> Using `--cleavage heterolytic` with an unsupported model raises an error.
>
> **Note on single-atom fragments:** When a bond produces a bare H (or other single atom),
> heterolytic BDE is automatically skipped — neither MACE nor FairChem UMA has signed
> single-atom energies (only neutral H, C, N, O… are in the reference tables).
## 3. Calculation Workflow
### Step 1: Provide a molecule
```bash
# SMILES input (most common)
--smiles "CCO"
# Or from a structure file
--structure molecule.sdf
```
### Step 2: Run BDE calculation
**Homolytic only** (default, no charge/spin needed):
```bash
${CLAUDE_SKILL_DIR}/../../venv/run mlip python ${CLAUDE_SKILL_DIR}/scripts/calculate_bde.py \
--smiles CCO \
--all_bonds \
--cleavage homolytic \
--model_type mace \
--model_name MACE-OFF23-small \
--output_dir research/my_folder/bde_results
```
**Both homolytic and heterolytic** (MACE-OMOL):
```bash
${CLAUDE_SKILL_DIR}/../../venv/run mlip python ${CLAUDE_SKILL_DIR}/scripts/calculate_bde.py \
--smiles CCO \
--all_bonds \
--cleavage both \
--model_type mace \
--model_name MACE-OMOL-extra-large \
--output_dir research/my_folder/bde_results_both
```
**Both homolytic and heterolytic** (FairChem UMA omol):
```bash
${CLAUDE_SKILL_DIR}/../../venv/run fairchem python ${CLAUDE_SKILL_DIR}/scripts/calculate_bde.py \
--smiles CCO \
--all_bonds \
--cleavage both \
--model_type fairchem \
--model_name uma-s-1p1 \
--task_name omol \
--output_dir research/my_folder/bde_results_both
```
**Heterolytic only** with FairChem UMA:
```bash
${CLAUDE_SKILL_DIR}/../../venv/run fairchem python ${CLAUDE_SKILL_DIR}/scripts/calculate_bde.py \
--smiles CCO \
--all_bonds \
--cleavage heterolytic \
--model_type fairchem \
--model_name uma-s-1p1 \
--task_name omol \
--output_dir research/my_folder/bde_hetero
```
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Signals
- Stars
- 183
- Forks
- 31
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (23 days ago)
- Last release
- Oct 6, 2026 (22 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- arxiv.org/abs/2605.24002
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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drug-complex-system-builder
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Build a solvated, charge-neutralized protein-ligand complex for OpenMM molecular dynamics simulation.
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Cite this page
chem-bond-dissociation skill. Agent Mart. https://agentmart.dev/skills/learningmatter-mit-chem-bond-dissociation (last updated 2026-10-24)