Deep Learning to Therapeutically Target Unreported Complexes

FERNÁNDEZ, A.

TRENDS IN PHARMACOLOGICAL SCIENCES

ELSEVIER SCIENCE LONDON

Año: 2019 vol. 40 p. 551 - 554

0165-6147

The disruption of large protein?protein (PP) interfaces remains a challenge in targeted therapy. Designing drugs that compete with binding partners is daunting, especially when the structure of the protein complex is unknown. To address the problem we propose a deep protein databank (PDB) learning platform to discover targetable epitopes for complex-disruptive leads.