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.
☆118Updated last year
Alternatives and similar repositories for ThermoNet
Users that are interested in ThermoNet are comparing it to the libraries listed below
Sorting:
- Repository for publicly available deep learning models developed in Rosetta community☆119Updated 4 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 3 years ago
- ☆112Updated 2 years ago
- Improved antibody structure-based design using inverse folding☆138Updated last month
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆106Updated last year
- AlphaBind code + model accompanying pre-print☆80Updated 2 months ago
- Predict multiple protein conformations using sequence clustering and AlphaFold2.☆162Updated 2 months ago
- ☆70Updated 3 years ago
- AbLang: A language model for antibodies☆148Updated 2 years ago
- Geometric deep learning method to predict protein binding interfaces from a protein structure.☆145Updated last year
- ☆72Updated 5 years ago
- ☆133Updated 3 months ago
- Convenience Python APIs for antibody numbering using ANARCI☆105Updated 4 months ago
- trRosetta for protein design☆182Updated 4 years ago
- Public repository describing training and testing of AntiBERTa.☆61Updated 2 years ago
- Tool for modelling the CDRs of antibodies☆50Updated 2 years ago
- Predict the structure of immune receptor proteins☆159Updated 8 months ago
- ☆126Updated 3 years ago
- Generative Language Modeling for Antibody Design☆165Updated last year
- Tutorials, cheat sheets, and other resources for computational methods for protein design.☆119Updated 2 years ago
- Code for ColabDock paper☆148Updated 5 months ago
- ☆49Updated 2 years ago
- Protein folding in Pymol☆110Updated 2 weeks ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆50Updated 3 months ago
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆90Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆80Updated 2 years ago
- ☆114Updated last year
- Antibody-Antigen Docking and Affinity Benchmark☆73Updated 4 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆57Updated 2 years ago
- ☆140Updated 2 months ago