DeepGraphLearning / PEER_BenchmarkLinks
PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)
☆99Updated 2 years ago
Alternatives and similar repositories for PEER_Benchmark
Users that are interested in PEER_Benchmark are comparing it to the libraries listed below
Sorting:
- [ICML-23 ORAL] ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts☆99Updated 2 years ago
- ☆41Updated 3 years ago
- A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)☆101Updated last year
- ☆130Updated 3 years ago
- This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.☆103Updated 2 years ago
- Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)☆69Updated last year
- This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"☆124Updated 11 months ago
- Code implementation of "Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem" https://arxiv.org/…☆74Updated 2 years ago
- PyTorch code for KDD 2023 paper "Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design"☆55Updated 2 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆110Updated last year
- RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching☆82Updated last year
- Exploring Evolution-aware & free protein language models as protein function predictors☆63Updated last year
- Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language☆107Updated last month
- The first large protein language model trained follows structure instructions.☆94Updated 8 months ago
- LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure☆65Updated last year
- Protein Design with Guided Discrete Diffusion☆140Updated last year
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆71Updated last year
- Official implementation of pre-training via denoising for TorchMD-NET☆99Updated 2 years ago
- Official repository for MolCRAFT series☆139Updated 3 months ago
- Code for 'On Pre-trained Language Models For Antibody'☆32Updated 3 years ago
- Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure☆162Updated 4 years ago
- ☆12Updated last year
- Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023☆46Updated last year
- ☆108Updated 2 years ago
- SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)☆55Updated last year
- Database of Interacting Protein Structures (DIPS)☆103Updated 2 years ago
- Learning Harmonic Molecular Representations on Riemannian Manifold, ICLR, 2023☆25Updated 2 years ago
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆49Updated 4 years ago
- An awesome & curated list of docking papers☆125Updated last month
- Official repository for discrete Walk-Jump Sampling (dWJS)☆58Updated last year