tbepler / protein-sequence-embedding-iclr2019
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
☆258Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for protein-sequence-embedding-iclr2019
- UniRep model, usage, and examples.☆340Updated 2 years ago
- A package to predict protein inter-residue geometries from sequence data☆206Updated 3 years ago
- Get protein embeddings from protein sequences☆466Updated last year
- ☆193Updated 2 years ago
- Protein hallucination and inpainting with RoseTTAFold☆245Updated last year
- ☆127Updated 3 years ago
- Deep functional residue identification☆304Updated last year
- A generative latent variable model for biological sequence families.☆209Updated 2 years ago
- Multi-task and masked language model-based protein sequence embedding models.☆96Updated 3 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆662Updated last year
- An all-atom protein structure dataset for machine learning.☆339Updated 8 months ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆118Updated 4 years ago
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies☆328Updated last year
- Predicting protein structure through sequence modeling☆108Updated 4 years ago
- trRosetta for protein design☆172Updated 3 years ago
- Generative Models for Graph-Based Protein Design☆262Updated 3 years ago
- Implementation of ProteinBERT in Pytorch☆153Updated 3 years ago
- DeeplyTough: Learning Structural Comparison of Protein Binding Sites☆156Updated last year
- ☆126Updated 2 years ago
- Protein-compound affinity prediction through unified RNN-CNN☆137Updated 4 months ago
- ☆195Updated last year
- A collection of *fold* tools☆289Updated 2 months ago
- MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.☆595Updated 5 months ago
- ✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)☆281Updated last year
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆118Updated 3 years ago
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆106Updated last year
- Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."☆302Updated last year
- EquiDock: geometric deep learning for fast rigid 3D protein-protein docking☆232Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆72Updated 3 years ago
- RoseTTAFold2 protein/nucleic acid complex prediction☆333Updated 5 months ago