HydrAMP: a deep generative model for antimicrobial peptide discovery
☆56Nov 26, 2024Updated last year
Alternatives and similar repositories for hydramp
Users that are interested in hydramp are comparing it to the libraries listed below
Sorting:
- Generator and regressor neural networks for antimicrobial peptides☆25Jan 30, 2024Updated 2 years ago
- A foundation model approach to guide antimicrobial peptide design in the era of artificial intelligence driven scientific discovery☆49Sep 1, 2025Updated 6 months ago
- ☆17Feb 25, 2026Updated last week
- AMPDeep: Hemolytic Activity Prediction of Antimicrobial Peptides using Transfer Learning☆13Aug 15, 2022Updated 3 years ago
- Machine Learning Designs Non-Hemolytic Antimicrobial Peptides☆35Mar 19, 2021Updated 4 years ago
- Code for paper 'Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model'☆13Mar 21, 2024Updated last year
- The implementation of the paper sAMPpred-GAT: Prediction of Antimicrobial Peptide by Graph Attention Network and Predicted Peptide Struct…☆35Oct 1, 2022Updated 3 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆87Aug 2, 2024Updated last year
- ☆18Oct 16, 2025Updated 4 months ago
- ☆37Dec 7, 2025Updated 3 months ago
- Antimicrobial Peptide Structural Evolution Miner (AMP-SEMiner), an integrated AI framework designed for the simultaneous identification o…☆13May 10, 2025Updated 9 months ago
- Code for paper "ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning"☆13Jan 24, 2022Updated 4 years ago
- ☆24Feb 20, 2025Updated last year
- ☆19Sep 5, 2024Updated last year
- Controlling the usage of hydrophobic residues on AfDesign for binder peptide design with AlphaFold hallucination protocol☆33Aug 10, 2023Updated 2 years ago
- ☆24May 19, 2025Updated 9 months ago
- ☆20May 7, 2024Updated last year
- ☆90Oct 6, 2022Updated 3 years ago
- A novel approach to the classification of antimicrobial peptides (AMPs) using pre-trained language models to create contextual vectorized…☆17Sep 10, 2024Updated last year
- ☆15Jun 24, 2024Updated last year
- ☆14Dec 21, 2021Updated 4 years ago
- Generative models of chemical data for PaccMann^RL☆13Jun 2, 2023Updated 2 years ago
- ☆14Jul 12, 2021Updated 4 years ago
- ☆57Apr 26, 2019Updated 6 years ago
- ☆16Jan 2, 2024Updated 2 years ago
- source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molec…☆110Sep 17, 2025Updated 5 months ago
- ☆18Feb 27, 2026Updated last week
- implicit or explicit water model based docking with Autodock vina engine. supporting pharmacophore /position constrained docking☆72Feb 9, 2026Updated last month
- A PyTorch implementation of "Automatic Identification and Virtual Directed Evolution of Antimicrobial Peptides with Explainable Deep Lear…☆41Aug 1, 2025Updated 7 months ago
- Deep learning based alignment-free method for protein family modeling and prediction☆16Jul 31, 2018Updated 7 years ago
- ☆20Feb 25, 2025Updated last year
- Attentive deep learning model for antimicrobial peptide prediction☆56Mar 22, 2025Updated 11 months ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Jan 30, 2019Updated 7 years ago
- Predict protein thermostability with ML☆20Aug 20, 2024Updated last year
- diffusion model for protein sequence generation☆50Feb 18, 2023Updated 3 years ago
- Implementation of MapDiff: "Mask-prior-guided denoising diffusion improves inverse protein folding" in PyTorch☆43Jul 11, 2025Updated 7 months ago
- Implementation of FoldMark: Safeguarding Protein Structure Generative Models with Distributional and Evolutionary Watermarking☆23Jul 3, 2025Updated 8 months ago
- ML-optimized library design with improved fitness and diversity for protein engineering☆36Nov 5, 2025Updated 4 months ago
- Predicting Activated Sludge Microbial Communities based on time series of continuous sludge samples by using graph neural networks☆17Feb 23, 2026Updated 2 weeks ago