Bioactivity-prediction-with-ML
importedtherapeutics/bioactivity-prediction-with-ml
Create a bioactivity prediction model using molecular descriptors (PADEL) and supervised machine learning (ML).
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- bioinformatics · biology · biotechnology · chemistry · chemoinformatics · datascience · deep-learning · discovery
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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Precision genomics for everyone, everywhere. Powered by private AI.
- bio-forgebioinformatics · biology · chemistry
A high-performance, pure Rust toolkit for standardizing and preparing biomolecular systems (proteins & nucleic acids). It heals missing atoms, resolves protonation states, adds solvation, and…
- lindemannchemistry · chemoinformatics
lindemann is a python package to calculate the Lindemann index of a lammps trajectory
- api.github.com/repos/francescopatane96/Bioactivity-prediction-with-MLretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-09-10, 6 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/57.json→ .entries["bioactivity-prediction-with-ml"]
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