Hacettepe University Biological Data Science Laboratory's Projects
ASCARIS: Annotation & Structure-Based Representation of SAVs
Awesome De novo drugs design papers
CROssBAR v2 GraphDB Data Process
Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotations and intercellular communication roles.
Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
This is a repo for migration of CROssBAR data to the Neo4j database via BioCypher
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
A Python tool for predicting protein functions by associating domains with Gene Ontology terms using existing domain and GO annotation data
Official implementation of DrugGEN
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: Image, Sequence, and Interactome Based Prediction of Protein Subcellular Localization
Mapping between HPO and GO terms
Target based molecule generation using protein embeddings and SELFIES molecule representation
SELFormer: Molecular Representation Learning via SELFIES Language Models
SELFormer: Molecular Representation Learning via SELFIES Language Models
Website for HU Biological Data Science Laboratory