deskk / AbGPTLinks
☆11Updated last year
Alternatives and similar repositories for AbGPT
Users that are interested in AbGPT are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- ☆27Updated 5 months ago
- Code for the paper "Learning to engineer protein flexibility".☆22Updated last week
- ☆28Updated 2 months ago
- dMaSIF implementation for google colab☆36Updated 2 years ago
- Versatile human antibody sequence design☆21Updated 8 months ago
- Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"☆24Updated 4 months ago
- Repository for Fast Non-autoregressive Inverse Folding with Discrete Diffusion☆18Updated last year
- protein backbone refinement☆15Updated last year
- Protein representation and design under a single training scheme☆24Updated last month
- Implementation of Protein Invariant Point Packer (PIPPack)☆35Updated last year
- LatentDE: Latent-based Directed Evolution for Protein Sequence Design☆36Updated 9 months ago
- Adapting protein language models for structure-conditioned design☆40Updated last year
- Code for RL-DIF☆16Updated 7 months ago
- ☆27Updated last year
- KA-Search: Rapid and exhaustive sequence identity search of known antibodies☆23Updated last year
- ☆17Updated 7 months ago
- This repo contains the results data for Round 1 of Adaptyv Bio’s EGFR Protein Design Competition.☆34Updated last year
- ☆12Updated 2 years ago
- Protein scoring and sampling of 'Combinatorial Variant Effects from Structure' (CoVES)☆11Updated 2 years ago
- The software system of improving AlphaFold2- and AlphaFold-Multimer-based protein tertiary & quaternary structure prediction. It was deve…☆33Updated 2 years ago
- Rank binders by structure modeling☆16Updated 10 months ago
- ☆39Updated last year
- Inpainting protein sequence and structure☆12Updated 2 years ago
- ☆72Updated 10 months ago
- Potts model-based protein sequence design☆78Updated last week
- 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
- Mutational Effect Transfer Learning (METL) framework for pretraining and finetuning biophysics-informed protein language models☆60Updated 3 months ago
- DeepViscosity is a deep learning ANN model developed to predict high concentrated monoclonal antibody viscosity classes (Low <= 20cps, Hi …☆19Updated 5 months ago
- Results and data from the pilot round of the Protein Engineering Tournament☆30Updated 10 months ago