A linear interpretable model for Drug Target Prediction

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Authors: Santiago Ferreyra
Cited by: 0

Abstract

Official implementation of LI-DTI, a Linear Interpretable Drug-Target Interaction prediction model inspired by recommender systems. LI-DTI learns from drug-drug and target-target similarity matrices –-chemical, biological, and pharmacological-– and provides interpretable predictions as a linear combination of these interactions.

Fields of Study & Subjects

Computational Drug Discovery Methods Recommender Systems and Techniques Bioinformatics and Genomic Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Document type
Dataset