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.
☆120Dec 20, 2023Updated 2 years ago
Alternatives and similar repositories for ThermoNet
Users that are interested in ThermoNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- predict stability change upon mutation☆33Jun 28, 2024Updated 2 years ago
- Predict protein thermostability with ML☆21Aug 20, 2024Updated 2 years ago
- TemStaPro - a program for protein thermostability prediction using sequence representations from a protein language model.☆88Sep 9, 2026Updated last month
- ☆58Apr 15, 2026Updated 6 months ago
- trRosetta for protein design☆184May 15, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only. …☆23Jun 3, 2023Updated 3 years ago
- ☆22Dec 15, 2022Updated 3 years ago
- DLPacker☆32Aug 26, 2024Updated 2 years ago
- DDGScan: an integrated parallel workflow for the in silico point mutation scan of protein☆51Mar 21, 2024Updated 2 years ago
- GNN trained to predict changes in thermodynamic stability for protein point mutants☆279Sep 9, 2026Updated last month
- ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit a…☆1,324May 22, 2025Updated last year
- Protein hallucination and inpainting with RoseTTAFold☆284Mar 30, 2023Updated 3 years ago
- Multi-class signal peptide prediction and structure decoding model.☆127Oct 12, 2026Updated 2 weeks ago
- scripts and facilities for in-silico mutagenesis with FoldX☆71Mar 9, 2026Updated 7 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Predict multiple protein conformations using sequence clustering and AlphaFold2.☆194Oct 7, 2025Updated last year
- Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic mo…☆207Jul 4, 2023Updated 3 years ago
- Self-Consistent Neural Network for Protein Stability Prediction upon Mutations☆10Sep 22, 2021Updated 5 years ago
- Sequence-based protein solubility prediction using multidimensional embedding☆13Apr 19, 2021Updated 5 years ago
- ☆98Nov 25, 2025Updated 11 months ago
- Modeling the effects of mutations in proteins using PyRosetta☆27Jan 26, 2018Updated 8 years ago
- Sidechain conditioning and modeling for full-atom protein sequence design☆150Nov 11, 2025Updated 11 months ago
- ☆31Aug 16, 2021Updated 5 years ago
- HyperMPNN ‒ A general strategy to design thermostable proteins learned from hyperthermophiles☆90Jul 2, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆84Jun 29, 2025Updated last year
- Making Protein Design accessible to all via Google Colab!☆948Oct 14, 2026Updated 2 weeks ago
- ☆12Jun 16, 2023Updated 3 years ago
- Physical energy function for ddG prediction upon amino acid mutation☆15May 7, 2023Updated 3 years ago
- ☆161Jul 28, 2026Updated 3 months ago
- Code for our paper "Protein sequence design with a learned potential"☆81Sep 8, 2023Updated 3 years ago
- Diffusion-based all-atom protein generative model.☆238Aug 27, 2025Updated last year
- ☆75Feb 13, 2026Updated 8 months ago
- Repository for publicly available deep learning models developed in Rosetta community☆123Sep 18, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Protein structure diffusion model for unconditional protein generation and motif scaffolding☆196Jun 24, 2024Updated 2 years ago
- ☆30May 24, 2024Updated 2 years ago
- The official implementation of the ICLR'23 paper PiFold: Toward effective and efficient protein inverse folding.☆183Jun 17, 2023Updated 3 years ago
- ☆94Sep 7, 2022Updated 4 years ago
- Code for ColabDock paper☆158May 1, 2025Updated last year
- Predicting the effect of mutations on protein stability and protein binding affinity using pretrained neural networks and a ranking objec…☆22Mar 29, 2021Updated 5 years ago
- We introduce a differentiable approach to phylogenetic tree construction, optimizing tree and ancestral sequences in its original represe…☆21Apr 2, 2026Updated 6 months ago