cognano / AVIDa-SARS-CoV-2
Code for NeurIPS 2024 paper "A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models"
☆12Updated 5 months ago
Alternatives and similar repositories for AVIDa-SARS-CoV-2:
Users that are interested in AVIDa-SARS-CoV-2 are comparing it to the libraries listed below
- Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"☆23Updated last year
- Antibody Langauge Ensemble Fusion - fuses antibody structural ensemble and language representation for property prediction☆11Updated 11 months ago
- ☆9Updated 2 years ago
- Fast deep learning methods for large-scale protein-protein interaction screening☆36Updated 6 months ago
- Inpainting protein sequence and structure☆12Updated last year
- An Interface-Predicting Language Model for Designing Peptide-Guided Protein Degraders☆16Updated 6 months ago
- ☆13Updated 3 months ago
- Expert-Guided Protein Language Models enable Accurate and Blazingly Fast Fitness Prediction☆13Updated last month
- ☆33Updated 6 months ago
- Adapting protein language models for structure-conditioned design☆37Updated 7 months ago
- ☆31Updated last year
- ☆17Updated last month
- Official open-source of Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical, and Geometric Constraints☆28Updated 3 months ago
- PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.☆28Updated 2 years ago
- The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody s…☆25Updated 8 months ago
- ☆35Updated 2 months ago
- A Collection of Platform, Tools, and Resources for Antibody Engineering☆15Updated last year
- Computationally Restoring the Potency of a Clinical Antibody☆17Updated last year
- Baseline model for PPB-Affinity benchmark data☆22Updated 3 months ago
- This repository contains code for the paper: "Tertiary motifs as building blocks for the design of protein-binding peptides"☆16Updated last year
- Machine learning-driven antibody design☆54Updated last year
- Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering (https://doi.org/10.1016/j.cels.2023…☆20Updated 7 months ago
- Predict the structure of immune receptor proteins☆48Updated 4 months ago
- Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'☆23Updated last year
- Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling☆50Updated 8 months ago
- Python tool for the discovery of similar 3D structural motifs across protein structures.☆26Updated last year
- ☆64Updated 2 weeks ago
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆70Updated 2 months ago
- ☆17Updated last year
- An antibody-specific language model focusing on NGL prediction☆26Updated 7 months ago