DSIMB's repositories
PoincareMSA
Detection of the structural, evolutionary and functional relationship between different proteins and protein families requires comparative analysis of their amino acid sequences through multiple sequence alignment. While a direct analysis of the resulting data allows to identify conserved regions, it does not provide a general and broad view on the proteins’ hierarchical organization and their distribution in the sequence, structural or functional spaces. Our project aims to develop a novel strategy for multiple sequence alignment visualization and interpretation using a powerful method demonstrated its efficiency for the hierarchy detection in multi-dimensional data sets called Poincaré maps.
ANN-Glycolysis-Flux-Prediction
Flux prediction using artificial neural network (ANN) for the upper part of glycolysis.
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
test_fork
This is a fork of my test repo
CompareCBS
Comparison of carbohydrate binding site (CBS) geometry using a graph-based method