kad-ecoli / BeEM
Conversion of PDBx/mmCIF files to best effort/minimal PDB files
☆16Updated 2 months ago
Alternatives and similar repositories for BeEM:
Users that are interested in BeEM are comparing it to the libraries listed below
- A domain parser for Alphafold models☆32Updated last year
- GTalign, HPC protein structure alignment, superposition and search (alpha release)☆40Updated last week
- Machine learning prediction of enzyme optimum pH☆29Updated last month
- Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations☆35Updated 3 months ago
- ☆25Updated 7 months ago
- ☆60Updated last month
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆79Updated 9 months ago
- Ultra-fast in-silico structure mutation☆32Updated 2 years ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆27Updated 5 months ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆50Updated last month
- Fast and accurate protein domain segmentation using Invariant Point Attention☆30Updated last month
- ☆30Updated 3 months ago
- Detection of remote homology by comparison of protein language model representations☆47Updated last month
- Fast and accurate protein structure prediction☆49Updated last year
- Predict the structure of immune receptor proteins☆48Updated 2 months ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆34Updated 4 years ago
- ☆49Updated 7 months ago
- PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.☆27Updated 2 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 5 years ago
- A bundle of deep-learning packages for biomolecular structure prediction and design contributed to the Rosetta Commons☆33Updated 2 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆56Updated 3 years ago
- Python package to manage protein structures and their annotations☆41Updated 10 months ago
- ☆33Updated 3 months ago
- Transmembrane proteins predicted through Language Model embeddings☆32Updated 10 months ago
- AlphaLink2: Integrating crosslinking MS data into Uni-Fold-Multimer☆52Updated last week
- Parametric Building of de novo Functional Topologies☆44Updated 2 years ago
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆56Updated 8 months ago
- PLM based active learning model for protein engineering☆71Updated 5 months ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated 9 months ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated last month