IBM / ReprogBERTLinks
Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"
☆24Updated 4 months ago
Alternatives and similar repositories for ReprogBERT
Users that are interested in ReprogBERT are comparing it to the libraries listed below
Sorting:
- ☆28Updated 5 months ago
- ☆17Updated last year
- ☆40Updated last year
- ☆21Updated 3 years ago
- Versatile human antibody sequence design☆21Updated 8 months ago
- ☆17Updated last month
- Controlling the usage of hydrophobic residues on AfDesign for binder peptide design with AlphaFold hallucination protocol☆33Updated 2 years ago
- Antibody Langauge Ensemble Fusion - fuses antibody structural ensemble and language representation for property prediction☆13Updated last year
- KA-Search: Rapid and exhaustive sequence identity search of known antibodies☆23Updated last year
- An antibody-specific language model focusing on NGL prediction☆36Updated last year
- DeepViscosity is a deep learning ANN model developed to predict high concentrated monoclonal antibody viscosity classes (Low <= 20cps, Hi…☆20Updated 6 months ago
- NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.☆34Updated last year
- ☆34Updated 2 years ago
- ☆74Updated 10 months ago
- Tool for modelling the CDRs of antibodies☆34Updated 3 years ago
- Guiding diffusion models for antibody sequence and structure co-design with developability properties.☆37Updated last year
- Official implementation of NeurIPS'24 paper "Bridge-IF: Learning Inverse Protein Folding with Markov Bridges"☆18Updated 10 months ago
- ☆24Updated 8 months ago
- Structure-Informed Protein Language Model☆36Updated last year
- A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict an…☆29Updated 3 years ago
- Scoring methods for predicting the DDG upon protein mutation☆16Updated 2 years ago
- Repository for paper Nanobody–antigen interaction prediction with ensemble deep learning and prompt-based protein language models.☆43Updated last year
- ☆28Updated 3 years ago
- Code for humanization of antibody and nanobody☆72Updated 5 months ago
- Physical energy function for protein sequence design☆36Updated 2 years ago
- Implementation of the Confidence Bootstrapping procedure for protein-ligand docking.☆27Updated last year
- dMaSIF implementation for google colab☆36Updated 2 years ago
- Official implementation of Generative Diffusion Models for Antibody Design, Docking, and Optimization.☆60Updated 2 years ago
- Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering (https://doi.org/10.1016/j.cels.2023…☆20Updated last year
- ☆20Updated 3 years ago