googleinterns / protein-embedding-retrievalLinks
☆34Updated 5 years ago
Alternatives and similar repositories for protein-embedding-retrieval
Users that are interested in protein-embedding-retrieval are comparing it to the libraries listed below
Sorting:
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 3 years ago
- Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design☆83Updated 4 years ago
- ☆25Updated 3 years ago
- Predicting protein structure through sequence modeling☆112Updated 5 years ago
- RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…☆98Updated 2 years ago
- Open source code for AlphaFold to extract protein embeddings☆27Updated 4 years ago
- Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax☆113Updated 4 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- A protein 3D structure prediction application☆67Updated 4 years ago
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 3 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆60Updated 3 years ago
- NLP for Proteins - A paper collection☆13Updated 5 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- Protein Language Model☆121Updated last year
- pytorch implementation of trDesign☆45Updated 4 years ago
- A Deep-learning based dOcking decoy eValuation mEthod☆57Updated 2 years ago
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆53Updated 5 years ago
- PyTorch library of layers acting on protein representations☆119Updated last year
- Structural Bioinformatics is awesome. Throw your textbook in the garbage, light the garbage can on fire, and blend the ashes into your co…☆75Updated 2 years ago
- ☆34Updated 7 months ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 4 years ago
- Source code for "A novel methodology on distributed representations of proteins using their interacting ligands"☆28Updated 5 years ago
- A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only. …☆23Updated 2 years ago
- Energy-based models for atomic-resolution protein conformations☆101Updated 3 years ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆18Updated 4 years ago
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆30Updated 5 months ago
- PaccMann models for protein language modeling☆43Updated 4 years ago
- PLM-interact: extending protein language models to predict protein-protein interactions.☆53Updated 4 months ago