Inference of couplings in proteins and RNAs from sequence variation
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Updated
Jan 21, 2023 - C
Inference of couplings in proteins and RNAs from sequence variation
Evolution of protein interactomes across the tree of life
Visually explore covariation in protein families
A deep learning library to rank protein complexes using graph neural networks
Using the interface residues as input (interface chain known), finding the interacting partners, node & edge types
An efficient implementation of the Seriation problem which 'finds a suitable linear order for a set of objects'. It has been used to order a network of proteins such that 'related' nodes are closer in the other.
Candidate OPC–endothelial cell interactors
Network Regression Embeddings reveal cell-type Transcription Factor coordination for target gene (TG) regulation
BEstimate, a Python module that systematically analyses guide RNA (gRNA) targetable sites across given sequences for given Base Editors, and functional and clinical effects of the potential edits on the resulting proteins.
Reproduce bioinformatics analysis for the paper Meyer, K. et al., Cell, 2018.
Protein-protein interaction identifier
defines the interface region of a protein complex making possible to calculate the i_rmsd between native and predicted structures following the CAPRI criteria
Protein-protein interaction network (with orthology) querying library
Investigating Protein Interaction Networks with Python Visualizations
Another needleplot for mutation data, used by ActiveDriverDB
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