The amount of biological data available from different experimental approaches (genome and transcriptome sequencing, structure determination, functional assays) is enormous. In our group, we use computational techniques such as deep learning, molecular dynamics simulations and sequence analysis to make sense of this data. We are particularly interested in understanding how protein folds have evolved and how protein structures and functions are encoded by the 20 amino acid alphabet.
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Repositories
- pLAST Public
pLAST rapidly compares, searches and classifies bacterial plasmids using word2vec embeddings of protein-family content and local genomic context.
- samcc_turbo Public
Software for automatic detection and measurement of coiled coils in PDB structures.
- SSAxgeo Public
A software for Secondary Structure Assignment based on Differential Geometry and knot theory descriptors
- lbs-tools Public
- edi Public
- pLM-BLAST Public
Detection of remote homology by comparison of protein language model representations
- PLMAlign Public Forked from maovshao/PLMAlign
PLMAlign utilizes per-residue embeddings as input to obtain specific alignments and more refined similarity
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