aqlaboratory / rgnLinks
Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
☆325Updated 6 years ago
Alternatives and similar repositories for rgn
Users that are interested in rgn are comparing it to the libraries listed below
Sorting:
- Standardized data set for machine learning of protein structure☆902Updated 4 years ago
- A PyTorch framework for prediction of tertiary protein structure☆189Updated 4 years ago
- UniRep model, usage, and examples.☆355Updated 3 years ago
- Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019☆261Updated 4 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆120Updated 4 years ago
- ProSPr: Protein Structure Prediction☆419Updated 2 years ago
- MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.☆687Updated last year
- A package to predict protein inter-residue geometries from sequence data☆217Updated 3 years ago
- Generative Tensorial Reinforcement Learning (GENTRL) model☆623Updated last year
- ☆190Updated 3 years ago
- Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."☆301Updated 4 months ago
- An implementation of the DeepMind's AlphaFold based on PyTorch for research☆399Updated 4 years ago
- trRosetta for protein design☆182Updated 4 years ago
- Get protein embeddings from protein sequences☆496Updated 2 years ago
- ☆127Updated 4 years ago
- An all-atom protein structure dataset for machine learning.☆355Updated last year
- A generative latent variable model for biological sequence families.☆236Updated 3 years ago
- Reimplementation of the UniRep protein featurization model.☆107Updated last year
- PyTorch library of layers acting on protein representations☆119Updated last year
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆110Updated last year
- Evolutionary couplings from protein and RNA sequence alignments☆278Updated 2 weeks ago
- Fitness landscape exploration sandbox for biological sequence design.☆166Updated 2 years ago
- A collection of *fold* tools☆298Updated last month
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆717Updated 2 years ago
- Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning☆328Updated 4 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆119Updated 5 years ago
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies☆372Updated 2 years ago
- Deep functional residue identification☆331Updated 2 years ago
- Protein-compound affinity prediction through unified RNN-CNN☆149Updated last year
- Deep Reinforcement Learning for de-novo Drug Design☆362Updated 3 years ago