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Coding
molecular-docking
Try itRun protein-ligand docking through SciMiner with six engines, pocket detection, and side-by-side comparison.
What it does
Selects and invokes SciMiner-hosted docking engines (Gnina, AutoDock Vina, PackDock, SurfDock, DiffDock, fpocket) based on the request, defaulting to Gnina for generic calls. When no pocket is supplied, it runs fpocket first, then reads the authoritative tool Markdown at sciminer.tech/tool_api_files/ before constructing the payload. Each invocation returns a task_id and share_url for result retrieval. A free SciMiner API key stored at ~/.config/sciminer/credentials.json is required.
When to use it
- Dock a ligand into a known or user-provided pocket
- Run a default docking workflow without manually picking an engine
- Compare results across multiple engines for robustness checks
- Predict binding pockets with fpocket before docking
The skill document
Molecular Docking Skill
This skill groups protein-ligand docking workflows, including:
- pocket-guided docking with Gnina (default)
- classical docking with AutoDock Vina
- flexible docking with PackDock
- surface-geometry-assisted docking with SurfDock
- diffusion-model docking with DiffDock
- predicted binding-site detection with fpocket
- side-by-side comparison across multiple docking engines
When to use this skill
- Dock one or more ligands into a known or user-provided protein pocket
- Run a fast default docking workflow without manually choosing an engine
- Compare docking outcomes across multiple engines for robustness checks
- Use method-specific engines when the user explicitly requests one by name
Method selection rule
Docking engines:
- Default to
Gninafor generic docking requests. - Use the named engine when the user explicitly names one of
Gnina,AutoDock Vina,PackDock,SurfDock, orDiffDock. - Use
PackDockfor flexible (side-chain repacking) docking. - Use
SurfDockwhen surface-geometry awareness is requested or the pocket is shallow/cryptic. Gnina->Gnina_api_doc.mdAutoDock Vina->AutoDock Vina_api_doc.mdPackDock->PackDock_api_doc.md- Generic docking requests ->
Gnina - Requests that explicitly name an engine -> the named provider:
AutoDock Vina,PackDock,SurfDock, orDiffDock - Binding-pocket prediction before docking ->
fpocket - Multi-engine comparison or benchmarking -> run the requested provider set, using
Gninaas the default when no engine is specified
Prerequisites
- Obtain a free SciMiner API key from
https://sciminer.tech/utility. - Store it outside this repository at
~/.config/sciminer/credentials.jsonwith JSON shaped as{"api_key":"your_api_key_here"}. - For SciMiner calls, read the API key from
~/.config/sciminer/credentials.jsonand send it as theX-Auth-Tokenheader. - Never print, persist, or store the API key in prompts, logs, or repository files. Agents should remember only the credential file path.
If ~/.config/sciminer/credentials.json is not available or does not contain an api_key field, stop and tell the user to obtain a free SciMiner API key from https://sciminer.tech/utility and store it in that file. Do not try to complete the task by switching to other tools or services.
Authoritative tool-doc source (required)
The published Markdown files under https://sciminer.tech/tool_api_files/ are the single source of truth for the selected docking tool's provider_name, tool_name, allowed parameters, file-upload behavior, request encoding, and submission flow.
The agent MUST:
- Resolve the selected tool's Markdown file and read it before every invocation.
- Never invent
provider_name,tool_name, parameter names, enum values, upload-field names, content type, or submission flow from memory. - Extract and follow the selected doc section's exact:
- Base URL
- API endpoint
- Content-Type
- Authentication header
- Tool Name
- Method
- Parameter table, including required fields and enum values
- File-upload instructions and example code
- Choose the correct section if the selected doc contains multiple tool variants, such as reference-ligand input vs pocket-center input.
- Cite the selected Markdown doc as the payload source in summaries.
If a user-provided parameter is not present in the selected Markdown doc section, ask for correction or drop it with an explanation.
Required workflow
- Determine which docking engine or engine set matches the user's request.
- When no pocket input is available, run the supporting pocket-detection step first and then read the corresponding docking tool docs.
- Read the selected tool Markdown file or files from
https://sciminer.tech/tool_api_files/. - Choose the doc section that matches the user's input shape.
- Collect any missing required parameters from the user.
- Upload required file inputs exactly as described by the selected Markdown
doc and replace local paths with returned
file_idvalues. - Write or run the invocation code directly from the selected Markdown doc's base-information block, parameter table, file-upload instructions, and example code. Do not apply a shared invocation template or local registry abstraction in this skill.
- Poll the task result and return the
share_urlin the final user-facing summary.
File upload rules
- Upload every required file parameter described by the selected Markdown doc before invocation.
- Replace local paths in
parameterswith the returnedfile_idstrings. - Use the upload form field documented by the selected Markdown doc.
- Skip optional file parameters that the user did not provide.
Expected result format
{
"status": "SUCCESS",
"result": {...},
"task_id": "xxx",
"share_url": "https://sciminer.tech/share?id=&type=API_TOOL"
}
Workflow guidance
- Generic docking requests ->
Gnina - Requests that explicitly name an engine -> the named provider:
AutoDock Vina,PackDock,SurfDock, orDiffDock - Binding-pocket prediction before docking ->
fpocket - Multi-engine comparison or benchmarking -> run the requested provider set, using
Gninaas the default when no engine is specified
Notes
- Use the selected Markdown doc under
https://sciminer.tech/tool_api_files/as the authoritative source for payload construction and invoke-method details. - Read the SciMiner API key from
~/.config/sciminer/credentials.jsonand send it as theX-Auth-Tokenheader. Do not print or persist the API key in prompts, logs, or repository files. - If
~/.config/sciminer/credentials.jsonis missing or does not contain anapi_keyfield, stop and tell the user to obtain a free SciMiner API key fromhttps://sciminer.tech/utilityand store it in that file. provider_namemust exactly match the selected Markdown doc.- Use the selected Markdown doc to determine file inputs, parameter placement, and any tool-specific submission details.
- Important: when summarizing results to users, attach the
share_urllinks of every successful task at the end. - For long-running tasks without a fixed ETA, poll for no more than 6000 seconds; if the task is still running, stop polling and return the current
task_idandshare_urlso the user can check later.
Questions people ask
- How does the skill choose which docking engine to run?
- Generic requests default to Gnina. If you name an engine (Gnina, AutoDock Vina, PackDock, SurfDock, DiffDock), that engine is used. PackDock is picked for flexible side-chain docking; SurfDock is picked when surface-geometry awareness is requested or the pocket is shallow/cryptic; fpocket is run first when binding-site prediction is needed.
- What credentials and configuration are required?
- A free SciMiner API key obtained from https://sciminer.tech/utility must be stored at ~/.config/sciminer/credentials.json under the api_key field and sent as the X-Auth-Token header. If that file is missing or lacks api_key, the skill stops and asks you to add it; it will not fall back to other tools.
- Where do parameter names, upload fields, and submission flow come from?
- All provider_name, tool_name, parameter tables, enum values, file-upload fields, content type, and submission flow are taken from the published Markdown at https://sciminer.tech/tool_api_files/ for the selected engine. The skill must re-read that doc before every invocation and must not invent payload details from memory.
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