A New Algorithm for Protein Design
J.M. Deutsch, Tanya Kurosky

TL;DR
This paper introduces a novel algorithm for protein design that employs a distinct minimization function, improving the ability to generate sequences likely to fold into target structures, surpassing previous energy-based methods.
Contribution
The paper presents a new protein design algorithm using a different minimization approach, offering improved sequence design for desired protein structures.
Findings
Produces sequences likely to fold into target structures
Significantly outperforms previous energy-based design methods
Effective on lattice protein models
Abstract
We apply a new approach to the reverse protein folding problem. Our method uses a minimization function in the design process which is different from the energy function used for folding. For a lattice model, we show that this new approach produces sequences that are likely to fold into desired structures. Our method is a significant improvement over previous attempts which used the energy function for designing sequences.
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