Sapian AI deciphers polypharmacology to identify novel therapeutic targets in LGMDR2

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Nicolas Maignan, Quentin Miagoux
DOI: 10.5281/zenodo.18466010
Cited by: 0

Abstract

Sapian AI deciphers polypharmacology to identify novel therapeutic targets in LGMDR2 This repository holds code related to polypharmacology & biostatistics analysis related to the publication Sapian AI deciphers polypharmacology to identify novel therapeutic targets in LGMDR2Nicolas Maignan4, Emilie Pellier1,2 Quentin Miagoux1,2 Johana Tournois1,2,3 David Papazian4, Rubal Ravinder4, Maxime Georges4, Jack Dawe4, Caio Hudson Queiroz de Souza4 Mike Maillasson5,6 Céline Bruge1,2 Nik Subramanian4 & Xavier Nissan1,2These authors contributed equally: Nicolas Maignan, Emilie Pellier, Quentin MiagouxCorresponding authors: Nik Subramanian, Xavier Nissan1 Université Paris-Saclay, Université d'Evry, Inserm, IStem, UMR861, Corbeil-Essonnes, France.2 IStem, CECS, Corbeil-Essonnes, France.3 IStem, CECS, The Research and Innovation Team, Corbeil-Essonnes, France. 4 KANTIFY, Bruxelles, Belgium. 5 Nantes University, CNRS, Inserm, CRCI2NA, Nantes, France. 6 Nantes University, Centre Hospitalo-Universitaire (CHU) Nantes, Inserm, CNRS, SFR Bonamy, UMS BioCore, IMPACT Platform, Nantes, France.

Fields of Study & Subjects

Computational Drug Discovery Methods Genomics and Rare Diseases Protein Degradation and Inhibitors

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026
Language
EN
Document type
Dataset