NEWSIPR The University of Osaka
Seminar
2026.11.12
Date: Thursday, November 19th, 2026, 13:00–13:50
Venue: Auditorium, Main Building, Institute for Protein Research (Suita Campus)
Speaker: Enrique Marcos Benteo
Group Leader, Molecular Biology Institute of Barcelona (IBMB), CSIC, Spain
Title: De novo design of hyperstable and functional β-Sheet protein architectures
Recent advances in de novo computational protein design provide unprecedented engineering freedom to create new-to-nature proteins with tailored structures and functions. Our group has focused on β-sheet–based proteins, which offer attractive scaffolds for designing ligand-binding pockets and frameworks that support flexible functional loops, but often face a fundamental tradeoff between stability and function. To address this challenge, we have developed design principles that combine physics- and deep learning–based methods to program stability and function in de novo β-sheet protein folds. These approaches have been experimentally validated through complementary biochemical, biophysical, and X-ray crystallographic studies.
We demonstrate these principles in two distinct fold families. First, we developed stabilization strategies for de novo NTF2-like domains that introduce buttressing elements on the convex face of curved β-sheets while preserving pocket geometry and accessibility, enhancing function. Applying this strategy to a de novo luciferase showed that structural buttressing can not only enhance thermal stability, but also modulate catalytic behavior. Second, we designed novel immunoglobulin-like (Ig) scaffolds—single- and two-domain architectures not found in nature—with hyperstability, high structural accuracy, and the robustness to accommodate pre-existing or de novo-designed binding loops. Together, these approaches demonstrate that structural stabilization and functional-site optimization need not be mutually exclusive, opening new opportunities for the computational design of functional β-sheet–based proteins.
Laboratory for Protein Design, Institute for Protein Research
Nobuyasu Koga
koga.nobuyasu.protein[at]osaka-u.ac.jp (Please replace [at] with @.)