Graph-and-Geometric-Learning / Frame-Averaging-Transformer
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer, NeurIPS2024
☆18Updated last month
Related projects ⓘ
Alternatives and complementary repositories for Frame-Averaging-Transformer
- A Text-guided Protein Design Framework, Nat Mach Intell 2024☆43Updated 4 months ago
- ☆26Updated 6 months ago
- Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion☆51Updated 6 months ago
- PyTorch code for KDD 2023 paper "Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design"☆49Updated last year
- Code for 'On Pre-trained Language Models For Antibody'☆30Updated last year
- Code and Data for the paper: Multi-level Protein Structure Pre-training with Prompt Learning [ICLR 2023]☆32Updated last year
- Code for Pre-training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction (https://arxiv.org/abs/2301.12068)☆39Updated last year
- Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction (ICLR 2023)☆53Updated 5 months ago
- Exploring Evolution-aware & free protein language models as protein function predictors☆60Updated last month
- NeurIPS 2023 Spotlight paper: Full atom protein pocket design via iterative refinement☆44Updated last year
- Implementation of the Confidence Bootstrapping procedure for protein-ligand docking.☆25Updated 8 months ago
- Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design☆34Updated 4 months ago
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆61Updated 7 months ago
- This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"☆93Updated 7 months ago
- Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)☆57Updated 4 months ago
- Source code of the paper "Protein Sequence and Structure Co-Design with Equivariant Translation"☆22Updated last year
- A comprehensive repository dedicated to the collection and exploration of studies utilizing Large Language Models for molecular design, p…☆40Updated last year
- Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)☆24Updated 3 weeks ago
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆49Updated 2 years ago
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆48Updated last year
- ☆20Updated 2 years ago
- Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023☆35Updated 2 months ago
- Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)☆30Updated 11 months ago
- Code implementation of "Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem" https://arxiv.org/…☆68Updated last year
- PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)☆82Updated last year
- ☆43Updated 2 months ago
- Learning Harmonic Molecular Representations on Riemannian Manifold, ICLR, 2023☆22Updated last year
- MSAGPT☆25Updated this week
- This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.☆87Updated last year
- ☆31Updated 8 months ago