| name | complexa-target |
| description | Use this skill whenever the user wants to add, register, edit, list, show, or validate a Proteina-Complexa design target for any pipeline — protein binder (default), ligand binder, or AME / enzyme scaffolding. Triggers include "add a target", "define a new target for binder design", "register a hotspot", "set up a PDL1 binder target", "ligand binder pocket", "SMILES target", "AME task", "enzyme motif", "M0024_1nzy", "complexa target add", "complexa target show", "configure target X", "what targets are available", "where do hotspots live", "what does target_input mean", "chain-spec syntax", "binder length range", or any question about `configs/targets/{,ligand_}targets_dict.yaml` and `configs/design_tasks/ame_dict_v2.yaml`. Also covers `complexa validate target`. This is the only skill that touches the three targets dict files. |
| allowed-tools | Bash, Read, Write, AskUserQuestion |
complexa-target
Add or edit a design target in Proteina-Complexa. Targets live in three YAML files, one per complexa design pipeline:
configs/targets/targets_dict.yaml — protein binder (default pipeline)configs/targets/ligand_targets_dict.yaml — ligand binderconfigs/design_tasks/ame_dict_v2.yaml — AME / enzyme scaffolding
The complexa target CLI only manages the first two. AME tasks use an extended schema (the same core fields as ligand targets plus contig_atoms for hand-curated per-residue motif atom selections) and are file-edit-only.
Preferred path: edit the YAML directly
complexa target add is a thin wrapper around "load YAML → build dict → append a block" (see src/proteinfoundation/cli/target_manager.py:add_target_cli and append_target_to_dict). For agentic use, just edit the targets dict directly — the schema is short, the existing entries are great copy templates, and you skip 14 CLI flags / SMILES shell-escaping. Use the CLI only if you explicitly want its YAML auto-quoter or its overwrite-prompt safety.
The skill therefore presents both paths:
| Step | Direct file edit (preferred) | CLI |
|---|
| Look at existing targets | Read configs/targets/{,ligand_}targets_dict.yaml (or configs/design_tasks/ame_dict_v2.yaml for AME) | complexa target list (protein/ligand only) |
| Look at one target | Read the dict and grep for the key | complexa target show NAME |
| Add a new target | Append a YAML block (Step 3a) | complexa target add ... (Step 3b) |
| Verify the PDB resolves on disk | — (no shortcut, this checks Hydra defaults) | complexa validate target CONFIG --target NAME |
complexa target only sees the two protein-style dicts (targets_dict.yaml and ligand_targets_dict.yaml). For AME tasks (which use a different schema), file-edit is the only path — see Step 1 below.
What this skill enables
- Register a protein target (chain + residue range + hotspots) in
configs/targets/targets_dict.yaml.
- Register a ligand target (PDB pocket + 3-letter code + SMILES) in
configs/targets/ligand_targets_dict.yaml.
- Resolve the right AME task name (e.g.
M0024_1nzy, M0096_1chm) for the AME pipeline — these are not added via complexa target add (see Step 1).
- Verify a target resolves to a real PDB on disk with
complexa validate target.
- Emit a replayable artifact (
target_definition.yaml) for downstream design runs.
Step 1: Decide the target type
Targets live in three different files, one per complexa design pipeline. Pick the file by working out which pipeline the user will run, then add the entry to that file. Each file is consumed by exactly one pipeline.
| User intent | Pipeline | Targets dict file | This skill? |
|---|
| Bind a protein surface (PD-L1, IFNAR2, TNF-α, …) — default | configs/search_binder_local_pipeline.yaml | configs/targets/targets_dict.yaml | Yes — Step 2 (protein) |
| Bind a small-molecule pocket (FAD, SAM, OQO, …) | configs/search_ligand_binder_local_pipeline.yaml | configs/targets/ligand_targets_dict.yaml | Yes — Step 2 (ligand) |
AME / enzyme scaffolding (motif + ligand, M####_<pdb> names) | configs/search_ame_local_pipeline.yaml | configs/design_tasks/ame_dict_v2.yaml | Partial — see "AME tasks" below |
AME tasks (enzyme pipeline)
Similar story — AME tasks live in configs/design_tasks/ame_dict_v2.yaml under motif_target_dict_cfg: with their own schema (source, target_filename, ligand, contig_atoms, binder_length, use_bonds_from_file). The contig_atoms string encodes per-residue motif atom selections like "A64: [O, C]; A86: [CB, CA, N, C]; ..." — these are hand-curated, so adding a new AME task is a file edit, not a CLI invocation. Browse the file, copy a similar entry as a template, and pass ++generation.task_name=<NAME> to complexa design configs/search_ame_local_pipeline.yaml.
Step 2: Gather required info
Use AskUserQuestion to collect — do not guess these. Required fields differ for protein vs ligand.
Protein target
| Field | Question | Example | Required |
|---|
| name | "Target name (used as the dict key and task_name)?" | 02_PDL1, MyTarget_v1 | yes |
| source | "Source directory under $DATA_PATH/target_data/?" | bindcraft_targets, custom_targets | yes (or target_path) |
| target_filename | "PDB filename (no .pdb extension)?" | PD-L1, IFNAR2 | yes (or target_path) |
| target_input | "Chain + residue range — see reference for grammar." | A1-115, A1-50,B1-50 | yes |
| hotspot_residues | "Hotspot residues (interface contact residues)?" | ["A33", "A95", "A102"] | optional, recommended |
| binder_length | "Binder length range [min, max] or single [length]?" | [80, 150], [100] | optional (default [60, 120]) |
| pdb_id | "Reference PDB ID (optional, metadata only)?" | "2lag" | optional |
Ligand target — protein fields above (minus target_input), plus:
| Field | Question | Example | Required |
|---|
| ligand | "3-letter PDB ligand residue code?" | FAD, OQO, SAM | yes (presence marks target as ligand) |
| smiles | "SMILES string for the ligand?" | "O=C2C3=Nc1cc(c(...)..." | recommended |
| ligand_only | "Generate pocket around ligand only (no protein-protein interface)?" | true / false | optional (default true) |
| use_bonds_from_file | "Use bond info from the input PDB/CIF?" | true / false | optional (default true) |
| target_input | not required for ligand targets | — | no |
Check for name collisions by reading the dict (rg '^ NEW_NAME:' configs/targets/targets_dict.yaml) or running complexa target list -v --ligand / --protein.
Step 3a: Append the YAML block directly (preferred)
Open configs/targets/targets_dict.yaml (or ligand_targets_dict.yaml for ligand targets), find a similar existing entry as a style template, and append the new block under target_dict_cfg:. Two-space indent, single blank line between entries.
Protein template
02_PDL1:
source: bindcraft_targets
target_filename: PD-L1
target_input: "A1-115"
hotspot_residues: ["A37", "A39", "A49", "A98"]
binder_length: [64, 155]
pdb_id: "4z18"
Rules to match the existing file style (mirrors what complexa target add would emit):
- Quote chain/residue ranges (
"A1-115", "A33") and any SMILES — flow-style strings get tripped up by : and brackets otherwise.
- Use flow-style lists (
["A33", "A95"], [64, 155]) — that's what the on-disk dump produces.
target_input, source, target_filename are required for protein. target_path (absolute path) can replace source + target_filename if the PDB lives outside $DATA_PATH/target_data/.
Ligand template
41_7BKC_LIGAND:
source: ligand_targets
target_filename: 7BKC_ligand_centered
hotspot_residues: [null]
binder_length: [100]
pdb_id: 7BKC
ligand: 'FAD'
ligand_only: True
SMILES: "O=C2C3=Nc1cc(c(cc1N(C3=NC(=O)N2)CC(O)C(O)C(O)COP(=O)(O)OP(=O)(O)OCC6OC(n5cnc4c(ncnc45)N)C(O)C6O)C)C"
use_bonds_from_file: True
The presence of the ligand: key flips the target into ligand mode — there is no separate is_ligand flag. target_input is not required for ligands.
After saving, skip to Step 4 to verify.
Step 3b: CLI alternative (complexa target add)
Use the CLI when you want its automatic chain/residue quoting, the overwrite-confirm prompt, or to wire target creation into a non-Python script. Prefer non-interactive mode for agentic use (-i / --editor opens an editor and blocks).
Confirmed flags (from src/proteinfoundation/cli/target_cli.py)
| Flag | Type | Applies to | Notes |
|---|
name (positional) | str | both | dict key |
--dict PATH | path | both | override target dict path |
-i, --interactive | flag | both | open $EDITOR |
-e, --editor NAME | str | both | code, nano, vim, cursor, ... |
--source NAME | str | both | directory under $DATA_PATH/target_data/ |
--target-filename NAME | str | both | PDB stem (no .pdb) |
--target-path PATH | str | both | full path; overrides source+filename |
--target-input SPEC | str | protein | chain/residue range, e.g. A1-115 |
--hotspot-residues R [R ...] | list | both | e.g. A33 A95 |
--binder-length N [N ...] | int list | both | [min, max] or [length] |
--pdb-id ID | str | both | metadata only |
--ligand CODE | str | ligand | presence marks ligand target |
--ligand-only | flag | ligand | pocket-only mode |
--smiles STR | str | ligand | SMILES for the ligand |
--use-bonds-from-file | flag | ligand | use PDB bonds |
Protein example
complexa target add 02_PDL1 \
--source bindcraft_targets \
--target-filename PD-L1 \
--target-input A1-115 \
--hotspot-residues A37 A39 A49 A98 \
--binder-length 64 155 \
--pdb-id 4z18
Ligand example
complexa target add 41_7BKC_LIGAND \
--source ligand_targets \
--target-filename 7BKC_ligand_centered \
--pdb-id 7BKC \
--ligand FAD \
--ligand-only \
--use-bonds-from-file \
--smiles "O=C2C3=Nc1cc(c(cc1N(C3=NC(=O)N2)CC(O)C(O)C(O)COP(=O)(O)OP(=O)(O)OCC6OC(n5cnc4c(ncnc45)N)C(O)C6O)C)C" \
--binder-length 100
Why these defaults: --source defaults to custom_targets (protein) or ligand_targets (ligand) and --target-filename defaults to name, so be explicit when the PDB stem differs from the target name. The dict gets ligand_only: true and use_bonds_from_file: true by default for ligand targets — pass the flags to be explicit, or omit to accept defaults.
Step 4: Verify
Run two checks, in order. Stop and fix on the first failure.
complexa target show 02_PDL1
complexa validate target configs/search_protein_local_pipeline.yaml --target 02_PDL1
complexa validate target (from src/proteinfoundation/cli/validate.py::validate_target) checks:
DATA_PATH is set and target_data/ exists.- The target name resolves in
target_dict_cfg.
- Either
target_path exists, or $DATA_PATH/target_data/<source>/<target_filename>.pdb exists.
target_input, hotspot_residues, binder_length are reported back so a human can sanity-check them.
For ligand targets, point --target at a ligand pipeline config (e.g. a ligand binder search config).
Step 5: Emit artifact
Save a replayable record under ./target_<name>/:
mkdir -p target_02_PDL1
complexa target show 02_PDL1 > target_02_PDL1/target_show.txt
Then write the appended YAML snippet (the lines complexa target add wrote under target_dict_cfg:) to target_02_PDL1/target_definition.yaml using the Write tool. The artifact lets the user diff target definitions across runs and re-create the entry on another checkout via complexa target add ... --force.
Hardware requirements
None for target definition — this is a YAML edit, not a training/inference step. Disk impact is a few KB appended to the targets dict (plus an automatic .yaml.bak backup written by save_targets_dict).
For the downstream design / evaluate runs that consume the target, defer to complexa-design and _shared/reference/hardware.md.
Troubleshooting
| Symptom | Cause | Fix |
|---|
Target PDB file: File not found from validate target | <source>/<target_filename>.pdb does not exist under $DATA_PATH/target_data/ | Confirm the PDB stem and source dir. Use --target-path /full/path.pdb if the file lives outside target_data/. |
| "Target 'X' already exists! Overwrite? (y/N)" | Name collision in dict | Either pick a new name, or pass -f / --force to overwrite. |
| Hotspot residue not in PDB | Wrong chain or residue number | Open the PDB, re-check chain letters (case-sensitive) and residue indices. Hotspots use the format <CHAIN><RESNUM> — see reference. |
| Chain not found | target_input references a chain that does not exist in the PDB | Inspect the PDB with grep "^ATOM" target.pdb | awk '{print $5}' | sort -u. |
| Ligand code missing from PDB | The 3-letter ligand code does not appear as a HETATM residue name in the file | Open the PDB and check HETATM lines; you may need a _ligand_centered variant of the PDB. |
| SMILES parse failure downstream | Bad SMILES string | Validate with rdkit.Chem.MolFromSmiles(smiles) before adding. Quote SMILES in shell to escape brackets and parens. |
| Target name with leading digit breaks Hydra interpolation | YAML treats 02_PDL1 as a string fine; some override syntaxes need quoting | Use ++generation.task_name=02_PDL1; quote if the shell strips characters. |
target_input appears ignored for a ligand target | By design — ligand targets do not use target_input; pocket is defined by the ligand | Leave it unset for ligand targets. |
Reference
reference/target_schema.md — every field, chain-spec grammar, AME task-name grammar, three worked examples.configs/targets/targets_dict.yaml — live protein entries (copy a known-good one as a template).configs/targets/ligand_targets_dict.yaml — live ligand entries.configs/design_tasks/ame_dict_v2.yaml — AME task definitions (file-edit only, not exposed via complexa target CLI).src/proteinfoundation/cli/target_cli.py — argparse source of truth.src/proteinfoundation/cli/target_manager.py — add_target_cli, list_targets, show_target, schema in TARGET_FIELDS.src/proteinfoundation/cli/validate.py — validate_target implementation.
