VITA-Group / HotProteinLinks
[ICLR 2023] "HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing" by Tianlong Chen*, Chengyue Gong*, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew Ellington, Alex Dimakis, Adam Klivans
☆31Updated 2 years ago
Alternatives and similar repositories for HotProtein
Users that are interested in HotProtein are comparing it to the libraries listed below
Sorting:
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆48Updated 3 years ago
- Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)☆66Updated last year
- A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)☆90Updated 6 months ago
- Exploring Evolution-aware & free protein language models as protein function predictors☆63Updated 10 months ago
- Official implementation of "Learning the language of protein structures"☆37Updated last month
- PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)☆92Updated 2 years ago
- NeurIPS 2023 Spotlight paper: Full atom protein pocket design via iterative refinement☆47Updated last year
- Code for 'On Pre-trained Language Models For Antibody'☆33Updated 2 years ago
- Source code of the paper "Protein Sequence and Structure Co-Design with Equivariant Translation"☆24Updated last year
- Code for ICML 2024 paper "Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical P…☆42Updated 10 months ago
- An official implementation of Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning☆29Updated 2 years ago
- A 3D-equivariant neural network for protein structure accuracy estimation☆18Updated 2 years ago
- Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction (ICLR 2023)☆58Updated last year
- A comprehensive benchmark on the performances of multiple protein backbone generative models.☆62Updated 2 months ago
- Toolkit for structure-based deep learning on RNA.☆40Updated last week
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequ…☆89Updated 3 years ago
- This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"☆114Updated 5 months ago
- Code for Pre-training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction (https://arxiv.org/abs/2301.12068)☆41Updated 2 years ago
- Database of Interacting Protein Structures (DIPS)☆102Updated last year
- ☆19Updated 10 months ago
- ☆42Updated 2 years ago
- Scalable Deep Learning for RNA Secondary Structure Prediction☆37Updated last year
- Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion☆58Updated last year
- This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.☆96Updated 2 years ago
- An evolutionary context-integrated deep learning framework for protein engineering☆64Updated 3 years ago
- Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing☆89Updated last year
- Structure-conditioned masked language modeling for protein sequence design☆65Updated last year