boron-nmr-predict
OfficialOffline 11B NMR shift predictions on CPU
Education & Research#cheminformatics#huggingface#smiles#cpu-inference#boron-nmr#nmr-prediction#molecule-image
AuthorInternScience
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Boron-containing molecules often require experimental data or expensive quantum calculations to assign 11B NMR shifts. This skill provides an offline, CPU-based workflow to predict boron-11 chemical shifts directly from input SMILES and present a clear, labeled visualization.
Core Features & Use Cases
- Local CPU inference with a 5-fold ensemble for robust boron-11 NMR predictions.
- Accepts SMILES inputs, downloads model weights from Hugging Face on first run, and outputs per-boron ppm along with a labeled molecule image.
- Includes environment setup, solvent handling, and optional ML features to enhance prediction accuracy.
Quick Start
Create or activate a CPU-based environment, then run predict with a boron-containing SMILES to obtain per-atom ppm predictions and a labeled image.
Dependency Matrix
Required Modules
huggingface_hubrdkit-pypiPillow
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: boron-nmr-predict Download link: https://github.com/InternScience/ChemClaw/archive/main.zip#boron-nmr-predict Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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