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general-chemical-literature
Retrieve extensive literature (PubMed) and patent associated with a specific chemical compound via PubChem.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Retrieve extensive literature (PubMed) and patent associated with a specific chemical compound via PubChem.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Quantify prediction uncertainty of MACE MLIPs using committee (ensemble) models; flag high-uncertainty structures for DFT verification.
Compute phonon-limited carrier mobility and mode-resolved electron-phonon coupling in 2D materials from first principles with Quantum ESPRESSO and EPW.
GPU-accelerated batched inference for MACE, MatGL (TensorNet/M3GNet/CHGNet), and FairChem MLIPs using NValchemi, enabling parallel static, relax, and MD workflows across multiple structures simultaneously.
Extract structured synthesis procedures from a folder of PDFs using the LeMat-Synth GeneralSynthesisOntology schema, producing one JSON file per paper with per-material synthesis records.
Predict LC-MS/MS (MS2, tandem mass spectra) from SMILES via ICEBERG, a two-stage deep neural network. Outputs predicted m/z vs intensity spectrum, fragment ion SMILES, and a spectrum plot.
Match an experimental spectrum (1H NMR, 13C NMR, IR) against predicted or database reference spectra for candidate ranking and structure confirmation. Supports local catalog lookup, public database fallback, and pluggable similarity metrics.
SOC 직업 분류 기준
| name | general-chemical-literature |
| description | Retrieve extensive literature (PubMed) and patent associated with a specific chemical compound via PubChem. |
| category | ["general","chemistry","drug-discovery","materials"] |
To programmatically check if a specific chemical compound exists in recent literature or patent databases. This skill uses PubChem's PUG-REST XRefs endpoint to extract an exhaustive list of associated PubMed IDs and Patent numbers.
This is incredibly useful as an autonomous "novelty check" for generated molecules.
Provide the CID of the target molecule. By default, the script will output the absolute total number of hits but limits the JSON save array to 1000 to prevent memory flooding for ubiquitous molecules (like Aspirin, which has over 100,000 patents). Adjust --limit as needed.
# Env: base-agent
python .agents/skills/general-chemical-literature/scripts/get_xrefs.py \
--cid 2244 \
--limit 50 \
--outdir research/aspirin_literature \
--output xrefs_aspirin.json
We can pull cross-references for Aspirin (CID: 2244), saving the top 50 identifiers.
# Env: base-agent
python .agents/skills/general-chemical-literature/scripts/get_xrefs.py \
--cid 2244 \
--limit 50 \
--outdir .agents/skills/general-chemical-literature/examples/aspirin \
--output xrefs_aspirin.json
pubmed.ncbi.nlm.nih.gov/ and patents.google.com/patent/) for the top 5 results for immediate verification.Author: Bowen Deng Contact: GitHub @learningmatter-mit