Folddisco
github.com/steineggerlab/folddiscoFolddisco enables rapid detection of discontinuous or segment 3D motifs in large protein databses.
Sourced from
- GitHub — github.com/steineggerlab/folddisco
Related resources
Freely available tools for biological computing in Python, with included cookbook, packaging and thorough documentation. Part of the [Open Bioinformatics Foundation](http://open-bio.org/). Contains the very useful [Entrez](https://biopython.org/DIST/docs/api/Bio.Entrez-module.html) package for API access to the NCBI databases.
AlphaFold/ESMFold accessible implementation with AF3 JSON export, database updates
Fast and accurate protein structure search using a learned 3Di structural alphabet (VQ-VAE) that discretizes tertiary interactions into structural tokens, enabling protein-universe-scale structural alignment at sequence-search speeds (4-5 orders of magnitude faster than DALI/TM-align) and underpinning many AI4S tools such as SaProt, ESMAtlas search, and AFDB clustering pipelines (Steinegger Lab, Nature Biotechnology 2023)
Structure-aware protein language model using 3D structural vocabulary (Foldseek) for joint sequence-structure pretraining, achieving SOTA on protein engineering and fitness prediction benchmarks (ICML 2024, Westlake University & Repl)
Java framework for processing biological data.
Enzymm is a tool designed to detect catalytic features (motifs) in predicted protein structures by performing geometric matching of known enzyme catalytic sites. It provides insights into enzyme function and mechanism, especially for distantly related or convergent enzymes.