Boltz Small Molecule Screen

作者 boltz-biobeafb3c16236无许可证5 个星标收录于 2026年10月8日更新于 2026年10月8日仓库4周前更新

Screen existing small-molecule libraries with Boltz. Use when docking, scoring, or ranking a supplied SMILES or compound library against a target; also returns free Tier-1 ADME/ADMET (solubility, permeability, lipophilicity/logD) per molecule. Not for de novo molecule design, one-off docking, or ADME on bare SMILES with no target (use boltz-small-molecule-adme).

AI 生成的概览

使用 Boltz 将已有小分子库针对蛋白靶点进行筛选,对命中分子排序并返回 ADME 指标。

功能
该技能指导智能体把已有小分子库(SMILES、CSV、.smi 或 .txt)提交到 Boltz 的 library-screen 接口,针对一个或多个蛋白序列进行筛选,可选提供口袋残基或参考配体。流程包括规范化输入、估算并确认费用、提交任务、以非阻塞方式启动结果下载,以及从 results/index.jsonl 中按 binding_confidence 或 optimization_score 对命中分子排序。每条结果还附带免费的 ADME 信息,包含溶解度、渗透性和亲脂性,便于成药性评估。最终产出带 SMILES、置信度指标和结构路径的排序命中列表。
适用场景
适用于用户已有候选分子,希望将其与靶点进行对接、打分或排序的场景。不适用于全新分子设计、单次对接,或没有靶点、仅对裸 SMILES 做 ADME 的情况。
运行要求
需要 PATH 中有 boltz-api 命令行工具,并通过 boltz-api auth login 完成认证,同时需要访问 Boltz API 的网络连接,可能还需要主机沙箱提权以完成安装、登录、凭据存储或 API 调用。载荷以 YAML 或 JSON 文件形式编写并使用绝对路径。该技能不附带脚本,仅为操作说明。

Workflow

If boltz-api is missing from PATH, use boltz-cli-setup for install/update guidance before retrying. If a command reports missing or expired authentication, use boltz-cli-setup to start boltz-api auth login --device-code before retrying; do not ask permission first. If the agent host sandbox blocks boltz-api install/auth/API calls, use boltz-cli-setup to request the host sandbox bypass/escalation needed for user-wide CLI install, browser login, credential storage, temp files, or API access before retrying.

Use this skill when the user already has candidate molecules.

  1. Normalize the library from raw SMILES, a CSV (auto-detect the SMILES column), .smi, or .txt into the molecules list. Each entry is {smiles, id?}; the optional id is echoed back as external_id on each result.
  2. Normalize the target: one or more protein sequences into target.entities, plus optional pocket_residues (0-based) and/or reference_ligands (SMILES of known binders to help locate the pocket).
  3. Keep default server-side filtering unless the user asks for custom filters — only add molecule_filters on explicit request.
  4. Author the payload YAML or JSON, run estimate-cost, show the USD cost, wait for explicit confirmation.
  5. start to submit (synchronous). Capture the ID.
  6. Launch download-results through the runtime's long-running or non-blocking command facility — it polls, paginates list-results, downloads every per-hit structure, and exits when terminal. Use the mechanism the runtime documents; consult boltz-cli-setup if unsure. After launching the downloader, always report the job ID, run name, and output directory. If the runtime can schedule follow-up checks, schedule a download-status check and state the cadence; otherwise include the download-status command.
  7. When done, rank from <output-root>/<run-name>/results/index.jsonl. Sort by binding_confidence for hit discovery or optimization_score for lead optimization; these are parallel intents, not a fallback hierarchy. Report the top 5-10 hits with smiles, the chosen ranking metric, key confidence metrics, and structure path. Each result also carries a free adme block (solubility, permeability, lipophilicity) — include it for developability triage when the user cares about ADME, or when a top hit looks risky. Read references/results.md [blocked] for output layout, metrics, ADME, and filtered-input accounting.

Command Pattern

bash
# Replace placeholders with concrete absolute paths before running.# Use a short descriptive run name, for example: sm-screen-<target>-<library>-v1
boltz-api small-molecule:library-screen estimate-cost \  --input @yaml:///absolute/path/payload.yaml
boltz-api small-molecule:library-screen start \       --idempotency-key "<run-name>" \       --input @yaml:///absolute/path/payload.yaml \       --raw-output --transform id
# Copy the printed job ID into this command, then launch it through the# runtime's long-running/non-blocking command facility (consult boltz-cli-setup# if unsure). Do not detach it with shell "&" or nohup unless the runtime# documents shell backgrounding as its supported mode.boltz-api download-results \  --id "<job-id-from-start>" --name "<run-name>" \  --root-dir "/absolute/path/boltz-experiments" \  --poll-interval-seconds 30# -> /absolute/path/boltz-experiments/<run-name>/results/<pres_*>/...

Payload keys are molecules, target, molecule_filters — the API body field names, not the direct CLI flag names --molecule / --target / --molecule-filters.

Always Do This

  • Keep payload field names exactly as the API body names shown in references/api.md.
  • Use absolute paths for the output root, payload files, and embedded target files. Do not cd into the run directory for follow-up commands; pass the same --root-dir and use absolute paths so later relative paths do not drift.
  • Prefer one merged top-level payload via --input @yaml:///absolute/path/payload.yaml or @json:///absolute/path/payload.json for estimate-cost and start. Keep --idempotency-key and --workspace-id top-level; if they also appear inside --input, the top-level flags win.
  • Direct object flags still work as overrides, such as --target @yaml:///absolute/path/target.yaml, --molecule-filters @json:///absolute/path/filters.json, or repeated --molecule @json:///absolute/path/mol-1.json entries. Piped YAML / JSON on stdin also works, but it must use API body field names. Never use @file:// or @./.
  • Treat pocket residue indices as 0-based.
  • Do not invent medicinal-chemistry filters. Only add molecule_filters if the user asks; mention the catalog as an option.
  • Use the same slug as both --idempotency-key at submit and --name on download-results so re-runs resume via .boltz-run.json.
  • In permission-gated runtimes, keep each Boltz call as a top-level command that starts with boltz-api. Prefer concrete arguments over sh -c, inline environment assignments, aliases, wrapper scripts, loops, or pipelines around the boltz-api invocation unless the user already allowed that exact command form. Use --raw-output --transform id, read the printed ID, then paste that literal ID into the next download-results command.
  • Run download-results through the runtime's long-running or non-blocking command facility, using the mechanism the runtime documents rather than tool arguments you assume exist. Do not detach it with shell & or nohup unless the runtime documents shell backgrounding as its supported mode; some tool runners reap shell-backgrounded children before .boltz-run.json is written. If unsure how this runtime handles long-running commands, consult boltz-cli-setup.
  • After the download starts, do not manually wait on it or run ad hoc polling loops. download-results emits JSONL progress on stderr by default; add --progress-format text --verbose only when you explicitly want human-readable logs.
  • If the runtime can schedule follow-up checks (a heartbeat, scheduled task, or reminder), schedule one after launching download-results. It should run boltz-api --format json download-status --name "<run-name>" --root-dir "/absolute/path/boltz-experiments", post only material status changes or terminal completion/failure, and stop once terminal. Choose cadence by molecule count: under 100 -> every 1-2 minutes; 100-1,000 -> every 5 minutes; over 1,000 -> every 15 minutes. If the runtime cannot schedule follow-ups, do not claim an automatic next check: report the job ID, run name, output directory, and the download-status command. Poll a saved session handle only for interactive, user-requested progress checks; never run a manual poll loop in the current turn.
  • If detached download needs to be restarted, re-run boltz-api download-results with the same --name "<run-name>" and the same --root-dir.
  • Cost is a flat $0.025 per molecule (size-independent). estimate-cost returns the authoritative total — always use it.
  • Poll interval: --poll-interval-seconds 30 is a reasonable downloader default. Wall-clock time scales roughly with the number of molecules: under 100 often finishes in a few minutes, 100-1,000 may take several minutes to tens of minutes, and larger screens can take longer or hours depending on inputs and system load. Don't quote a fixed duration, and never tell the user a 10-candidate screen will take 30 minutes or hours.

Escape Hatch

Read references/api.md [blocked] for the molecules, target, and molecule_filters shapes, including the built-in SMARTS filters and RDKit descriptor ranges. Read references/results.md [blocked] after download when ranking hits or explaining missing/filtered inputs.

Outputs

Rank from results/index.jsonl after download-results; use references/results.md [blocked] for the local file layout, metric meanings, and filtered-input accounting.

来源与署名

来源:boltz-bio/boltz-api-skills位于plugins/boltz/skills/boltz-small-molecule-screen提交beafb3c

许可证: 无许可证

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