hugohrban / ProGen2-finetuning
Finetuning ProGen2 protein language model for generation of protein sequences from selected protein families.
☆57Updated 2 months ago
Alternatives and similar repositories for ProGen2-finetuning:
Users that are interested in ProGen2-finetuning are comparing it to the libraries listed below
- ☆62Updated 3 years ago
- Learning the language of protein-protein interactions☆64Updated 3 weeks ago
- Efficient implementatin of ESM family.☆54Updated 2 months ago
- Code for humanization of antibody and nanobody☆39Updated 4 months ago
- Fitness landscapes for antibodies☆68Updated 3 months ago
- Public repository describing training and testing of AntiBERTa.☆58Updated 2 years ago
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆71Updated 11 months ago
- Aligning protein generative models with experimental fitness☆90Updated 5 months ago
- Data repository for "Fine-tuning protein language models boosts predictions across diverse tasks"☆36Updated 7 months ago
- Zero-shot prediction of mutation effects on protein function with multimodal deep representation learning☆57Updated 10 months ago
- Protein language model trained on coding DNA☆46Updated 5 months ago
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆111Updated last month
- ☆101Updated 9 months ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆28Updated 7 months ago
- ☆35Updated last year
- ☆68Updated 4 years ago
- PLM based active learning model for protein engineering☆77Updated 8 months ago
- Repository for paper Nanobody–antigen interaction prediction with ensemble deep learning and prompt-based protein language models.☆32Updated 3 months ago
- ☆49Updated 2 weeks ago
- Geometric deep learning of protein–DNA binding specificity☆64Updated 3 weeks ago
- AlphaBind code + model accompanying pre-print☆49Updated 3 months ago
- Code for ProSST: A Pre-trained Protein Sequence and Structure Transformer with Disentangled Attention.☆109Updated last month
- Active Learning-Assisted Directed Evolution for Protein Engineering☆46Updated 4 months ago
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆47Updated 4 months ago
- ☆25Updated 9 months ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆30Updated last month
- ☆67Updated 6 months ago
- ☆77Updated last month
- 🧬 Augmenting zero-shot mutant prediction by retrieval-based logits fusion. (ISMB/ECCB 2025)☆51Updated last week
- open source code for Tencent tFold☆95Updated last month