hydramp
importedtherapeutics/hydramp
HydrAMP: a deep generative model for antimicrobial peptide discovery
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
- szczurek-lab
- Country
- unknown
- Homepage
- hydramp.mimuw.edu.pl/
- Repository
- github.com/szczurek-lab/hydramp
- Documentation
- unknown
- Tags
- antimicrobial-peptides · antimicrobial-resistance · drug-discovery · generative-models · mimuw · university-of-warsaw
- 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.
- AMPredSTantimicrobial-peptides · drug-discovery
Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides
- StarPepantimicrobial-peptides · drug-discovery
StarPep toolbox: a software for studying the antimicrobial chemical space with newtork science tools and similarity searching models
- funcscanantimicrobial-peptides
(Meta-)genome screening for functional and natural product gene sequences
- DrugGENdrug-discovery · generative-models
Official implementation of DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
- LiGANdrug-discovery · generative-models
Deep generative models of voxel grids for structure-based drug discovery
- mosesdrug-discovery · generative-models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- api.github.com/repos/szczurek-lab/hydrampretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-11-26, 61 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/38.json→ .entries["hydramp"]
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