Heisenburger2020 / Vabs-Net
Vabs-Net: Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
☆11Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for Vabs-Net
- Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction (ICLR 2023)☆53Updated 5 months ago
- Source code of the paper "Protein Sequence and Structure Co-Design with Equivariant Translation"☆22Updated last year
- Full-Atom Peptide Design based on Multi-modal Flow Matching (ICML 2024)☆47Updated last month
- GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1…☆42Updated last year
- This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.☆87Updated last year
- This repo contains the codes for our paper "Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning" (ICML 2024).☆24Updated 2 months ago
- Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D☆39Updated last year
- [ICLR 2024] Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models☆28Updated 2 months ago
- An awesome & curated list of docking papers☆78Updated this week
- MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation☆40Updated 3 months ago
- Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)☆24Updated 3 weeks ago
- [NeurIPS 2023] DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening☆69Updated 6 months ago
- ☆21Updated last year
- Code implementation of "Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem" https://arxiv.org/…☆67Updated last year
- ☆16Updated 3 weeks ago
- This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"☆93Updated 7 months ago
- ☆57Updated 5 months ago
- Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"☆24Updated 5 months ago
- Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"☆35Updated 5 months ago
- Official Implemetation of DPLM (ICML'24) - Diffusion Language Models Are Versatile Protein Learners☆75Updated this week
- Code for Pre-training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction (https://arxiv.org/abs/2301.12068)☆39Updated last year
- PyTorch code for KDD 2023 paper "Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design"☆49Updated last year
- ☆20Updated 2 years ago
- ☆75Updated last month
- [AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"☆33Updated 2 months ago
- Implementation for ICML 2024 paper "MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space"☆74Updated last month
- Papers about Structure-based Drug Design (SBDD)☆85Updated 2 weeks ago
- Code for ProSST: A Pre-trained Protein Sequence and Structure Transformer with Disentangled Attention.☆42Updated 3 weeks ago
- Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance☆28Updated 9 months ago
- ☆66Updated last year