Tanja Kortemme

Jul 11, 2024 | journals.plos.org | Lu Hong |Tanja Kortemme |Chan Zuckerberg Biohub

Loading metrics Open Access Peer-reviewedResearch Article ? This is an uncorrected proof. Citation: Hong L, Kortemme T (2024) An integrative approach to protein sequence design through multiobjective optimization. PLoS Comput Biol 20(7): e1011953. https://doi.org/10.1371/journal.pcbi.1011953Editor: Alexey Onufriev, Virginia Tech, UNITED STATES OF AMERICAReceived: February 28, 2024; Accepted: June 25, 2024; Published: July 11, 2024Copyright: © 2024 Hong, Kortemme.

Mar 4, 2024 | biorxiv.org | Lu Hong |Tanja Kortemme

AbstractWith recent methodological advances in the field of computational protein design, in particular those based on deep learning, there is an increasing need for frameworks that allow for coherent, direct integration of different models and objective functions into the generative design process. Here we demonstrate how evolutionary multiobjective optimization techniques can be adapted to provide such an approach.

Apr 24, 2023 | cell.com | Tanja Kortemme |Chan Zuckerberg Biohub

SummaryMethods from artificial intelligence (AI) trained on large datasets of sequences and structures can now “write” proteins with new shapes and molecular functions de novo, without starting from proteins found in nature. In this Perspective, I will discuss the state of the field of de novo protein design at the juncture of physics-based modeling approaches and AI.