mmcdermott / structure_inducing_pre-trainingLinks
☆16Updated 3 years ago
Alternatives and similar repositories for structure_inducing_pre-training
Users that are interested in structure_inducing_pre-training are comparing it to the libraries listed below
Sorting:
- PyTorch code for KDD 2023 paper "Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design"☆53Updated 2 years ago
- [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding☆149Updated 8 months ago
- ☆46Updated last year
- Code and Data for the paper: Multi-level Protein Structure Pre-training with Prompt Learning [ICLR 2023]☆33Updated 2 years ago
- ☆56Updated last year
- SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)☆55Updated last year
- ☆92Updated 2 years ago
- [ICML-23 ORAL] ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts☆98Updated 2 years ago
- Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein In…☆28Updated 9 months ago
- ☆21Updated last year
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆70Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆39Updated last year
- ☆21Updated last year
- [Briefings in Bioinformatics] A Survey of Generative AI for de novo Drug Design☆89Updated 11 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆83Updated 3 years ago
- The code for "Learning Molecular Representation in a Cell"☆37Updated 8 months ago
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆117Updated last year
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆133Updated last year
- ☆51Updated last year
- Multimodal Pretraining for Unsupervised Protein Representation Learning☆22Updated last year
- ☆22Updated last year
- Unified 2D and 3D Pre-Training of Molecular Representations☆30Updated 3 years ago
- Bioinformatics'2022 PerceiverCPI: A nested cross-attention network for compound-protein interaction prediction☆36Updated 2 years ago
- Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)☆67Updated last year
- ☆41Updated 5 months ago
- Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023☆44Updated last year
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆132Updated 2 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated last year