idrori / cu-tsp
Implementation of Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations
☆24Updated 5 years ago
Alternatives and similar repositories for cu-tsp:
Users that are interested in cu-tsp are comparing it to the libraries listed below
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆37Updated 4 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 2 years ago
- Code for "A Deep Learning Framework for Flexible Docking and Design"☆16Updated 2 years ago
- Open source code for AlphaFold to extract protein embeddings☆26Updated 3 years ago
- Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure☆52Updated last month
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆48Updated 3 years ago
- ☆71Updated 2 years ago
- Model to predict kinase-ligand pKi values.☆12Updated last year
- ☆34Updated 3 years ago
- PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"☆36Updated last year
- Code and data for QMO https://arxiv.org/abs/2011.01921☆35Updated 3 years ago
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 2 years ago
- ☆29Updated 4 years ago
- ☆10Updated 2 years ago
- ☆37Updated 4 years ago
- ☆31Updated 9 months ago
- Code and analyses related to the ExaLearn drug design efforts☆12Updated 4 years ago
- test☆14Updated 4 years ago
- Implementation of MolSearch paper☆22Updated last year
- MoleculeNet benchmark dataset & MolMapNet dataset☆64Updated 3 years ago
- Database of Interacting Protein Structures (DIPS)☆99Updated last year
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆48Updated last year
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated last year
- ☆31Updated 6 years ago
- Learning with uncertainty for biological discovery and design☆34Updated 2 years ago
- ☆20Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)☆22Updated 3 years ago
- ☆20Updated 2 years ago
- Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pub…☆36Updated 2 years ago