meilerlab / probabilities_designLinks
☆15Updated 5 months ago
Alternatives and similar repositories for probabilities_design
Users that are interested in probabilities_design are comparing it to the libraries listed below
Sorting:
- ☆13Updated 7 months ago
- Code for deep learning guided design of dynamic proteins☆29Updated last year
- ☆16Updated 8 months ago
- bakerlab pymol scripts☆24Updated 5 years ago
- Some scripts that I keep using over and over.☆20Updated 2 months ago
- ProteinDesign with RFdiffusion and ProteinMPNN/LigandMPNN☆21Updated 6 months ago
- ☆28Updated 7 months ago
- ☆22Updated last month
- ☆13Updated last year
- Updated Protpardelle models with more robust motif scaffolding and multichain support☆32Updated this week
- This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.☆15Updated 2 years ago
- Official implementation of NeurIPS'24 paper "Bridge-IF: Learning Inverse Protein Folding with Markov Bridges"☆16Updated 6 months ago
- Protein Sequence Evolutionary Information Language Model☆13Updated last year
- ☆14Updated 3 months ago
- ML-optimized library design with improved fitness and diversity for protein engineering☆35Updated last year
- Pretrained METL models with minimal dependencies☆15Updated 4 months ago
- ☆37Updated last month
- Conditioning diffusion models for scaffolding protein motifs. A repository for my master's dissertation.☆10Updated 9 months ago
- Generative diverse protein backbones by protein language model☆33Updated 9 months ago
- ☆17Updated last year
- Tutorial files☆11Updated last year
- ☆24Updated 3 months ago
- ☆28Updated 9 months ago
- Explore protein fold space with deep generative models☆16Updated last year
- DyNoPy☆11Updated last year
- ☆18Updated last year
- RAG-ESM is a retrieval-augmented framework that allows to condition pretrained ESM2 protein language models on homologous sequences☆24Updated 3 weeks ago
- ☆26Updated last month
- ☆13Updated last year
- Official open-source of Accurate structure prediction of immune proteins using parameter-efficient transfer learning☆22Updated 5 months ago