gersteinlab / ThermoNetLinks
ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep 3D convolutional neural networks.
☆117Updated last year
Alternatives and similar repositories for ThermoNet
Users that are interested in ThermoNet are comparing it to the libraries listed below
Sorting:
- Improved antibody structure-based design using inverse folding☆127Updated 2 months ago
- ☆128Updated 3 weeks ago
- ☆109Updated 2 years ago
- AbLang: A language model for antibodies☆143Updated last year
- Repository for publicly available deep learning models developed in Rosetta community☆117Updated 3 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆126Updated 3 years ago
- ☆69Updated 4 years ago
- Predict the structure of immune receptor proteins☆146Updated 5 months ago
- ☆107Updated last year
- Tool for modelling the CDRs of antibodies☆49Updated 2 years ago
- ☆47Updated last year
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆55Updated 2 years ago
- MaSIF-neosurf: surface-based protein design for ternary complexes.☆131Updated last week
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- Flexible Protein-Protein Docking with a Multi-Track Iterative Transformer.☆98Updated 11 months ago
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆56Updated 7 months ago
- A compilation of deep learning methods for protein design☆97Updated 2 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆87Updated 2 years ago
- ☆66Updated 3 years ago
- Geometric deep learning method to predict protein binding interfaces from a protein structure.☆134Updated last year
- source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molec…☆102Updated 2 years ago
- AlphaBind code + model accompanying pre-print☆58Updated 6 months ago
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆88Updated 4 years ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆40Updated last week
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆60Updated 4 years ago
- trRosetta for protein design☆182Updated 4 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆101Updated 9 months ago
- Code for ColabDock paper☆141Updated 2 months ago
- ☆100Updated last month
- Official repository of EnzymeFlow☆91Updated 7 months ago