Hacettepe University Biological Data Science Laboratory's repositories
CROssBARv2
This is a repo for migration of CROssBAR data to the Neo4j database via BioCypher
awesome-denovo-papers
Awesome De novo drugs design papers
SELFormer_back
SELFormer: Molecular Representation Learning via SELFIES Language Models
CROssBAR-Data-Process
CROssBAR v2 GraphDB Data Process
CROssBAR-pypath
Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotations and intercellular communication roles.
CROssBARv1
Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
DeepResponse
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
DRUIDom
DRUIDom (DRUg Interacting Domains): a computational method for predicting new drug/compound - target protein interactions for drug discovery and repurposing, via mapping ligands to structural domains
HoliLoc
HoliLoc: Image, Sequence, and Interactome Based Prediction of Protein Subcellular Localization
HPO2GO
Mapping between HPO and GO terms
Prot2Mol
Target based molecule generation using protein embeddings and SELFIES molecule representation