BoHuangLab / Protein-Localization-Transformer
Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction
☆28Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Protein-Localization-Transformer
- PHP + My SQL☆22Updated last year
- RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…☆93Updated last year
- ☆32Updated last month
- A repository with exploration into using transformers to predict DNA ↔ transcription factor binding☆81Updated 2 years ago
- Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1☆37Updated 2 years ago
- Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax☆109Updated 3 years ago
- Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders☆46Updated this week
- Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks☆22Updated last month
- Primary RNA sequence model☆29Updated 6 months ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆17Updated 3 years ago
- ☆102Updated 3 months ago
- Repository for mRNA Paper and CodonBERT publication.☆113Updated 5 months ago
- ☆28Updated last year
- Orthrus is a mature RNA model for RNA property prediction. It uses a mamba encoder backbone, a variant of state-space models specifical…☆37Updated 3 weeks ago
- Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)☆71Updated last year
- A Modular Architecture for Deep Learning Systems☆38Updated last month
- Multimodal encoder-only transformer model for image-based protein predictions☆15Updated 11 months ago
- Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"☆138Updated last year
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆55Updated last year
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆33Updated 5 months ago
- Contrasting Sequence with Structure: Pre-training Graph Representations with PLMs☆22Updated 7 months ago
- Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design☆80Updated 3 years ago
- pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/☆28Updated last month
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆20Updated this week
- BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments☆24Updated this week
- Benchmarking DNA Language Models on Biologically Meaningful Tasks☆96Updated 3 weeks ago
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 3 years ago
- ☆19Updated 4 months ago
- Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequ…☆86Updated 2 years ago
- Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch☆158Updated last year