AMPredST
importedtherapeutics/ampredst
Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- ampredst.streamlit.app/
- Repository
- github.com/sayalaruano/AMPredST
- Documentation
- unknown
- Tags
- antimicrobial-peptides · bioinformatics · drug-discovery · machine-learning · python · streamlit-webapp
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- hydrampantimicrobial-peptides · drug-discovery
HydrAMP: a deep generative model for antimicrobial peptide discovery
- StarPepantimicrobial-peptides · drug-discovery
StarPep toolbox: a software for studying the antimicrobial chemical space with newtork science tools and similarity searching models
- funcscanantimicrobial-peptides · bioinformatics
(Meta-)genome screening for functional and natural product gene sequences
- ML-Healthcare-Web-Appstreamlit-webapp
This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and…
- ablanxbioinformatics · drug-discovery
JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.
- AD-scRNA2QSARbioinformatics · drug-discovery
A comprehensive computational pipeline that bridges single-cell genomics and cheminformatics to accelerate Alzheimer's Disease research. This project integrates advanced bioinformatics and machine…
- api.github.com/repos/sayalaruano/AMPredSTretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2022-12-13, 10 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/15.json→ .entries["ampredst"]
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