StarPep
importedtherapeutics/starpep
StarPep toolbox: a software for studying the antimicrobial chemical space with newtork science tools and similarity searching models
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- Grupo-Medicina-Molecular-y-Traslacional
- Country
- unknown
- Documentation
- unknown
- Tags
- antimicrobial-peptides · bioinformatics-tool · cheminformatics · drug-discovery · graph-analytics · java · network-analysis
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- AMPredSTantimicrobial-peptides · drug-discovery
Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides
- hydrampantimicrobial-peptides · drug-discovery
HydrAMP: a deep generative model for antimicrobial peptide discovery
- funcscanantimicrobial-peptides
(Meta-)genome screening for functional and natural product gene sequences
- NeuriteOutgrowthdrug-discovery · network-analysis
A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.
- boltz2-notebookbioinformatics-tool · drug-discovery
Boltz2 Notebook – A streamlined Colab-based pipeline for protein structure prediction and binding affinity analysis using the Boltz2 deep learning model.
- hbatbioinformatics-tool · drug-discovery
HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures https://hbat-web.abhishek-tiwari.com
- api.github.com/repos/Grupo-Medicina-Molecular-y-Traslacional/StarPepretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-03-05, 5 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/54.json→ .entries["starpep"]
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