tbepler / protein-sequence-embedding-iclr2019Links
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
☆261Updated 4 years ago
Alternatives and similar repositories for protein-sequence-embedding-iclr2019
Users that are interested in protein-sequence-embedding-iclr2019 are comparing it to the libraries listed below
Sorting:
- UniRep model, usage, and examples.☆355Updated 3 years ago
- A package to predict protein inter-residue geometries from sequence data☆217Updated 4 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆121Updated 4 years ago
- ☆190Updated 3 years ago
- ☆127Updated 4 years ago
- A generative latent variable model for biological sequence families.☆241Updated 3 years ago
- Protein-compound affinity prediction through unified RNN-CNN☆149Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆119Updated 5 years ago
- Deep functional residue identification☆332Updated 2 years ago
- A PyTorch framework for prediction of tertiary protein structure☆190Updated 4 years ago
- Get protein embeddings from protein sequences☆498Updated 2 years ago
- Generative Models for Graph-Based Protein Design☆280Updated 4 years ago
- Multi-task and masked language model-based protein sequence embedding models.☆103Updated 4 years ago
- trRosetta for protein design☆182Updated 4 years ago
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆110Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆74Updated 4 years ago
- Deep residual neural network for protein contact/distance prediction developed by Xu group☆79Updated 5 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆89Updated 2 years ago
- An all-atom protein structure dataset for machine learning.☆355Updated last year
- Recurrent Geometric Networks for end-to-end differentiable learning of protein structure☆325Updated 6 years ago
- Source code for "DeepDTA: deep drug-target binding affinity prediction"☆277Updated 2 years ago
- Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."☆302Updated 5 months ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆719Updated 2 years ago
- ☆253Updated last year
- Protein function prediction using a variational autoencoder☆95Updated 7 years ago
- pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"☆113Updated last year
- Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…☆98Updated 3 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 3 years ago
- ☆225Updated 2 years ago
- Protein hallucination and inpainting with RoseTTAFold☆268Updated 2 years ago