Conformation-Specific Design: A New Benchmark and Algorithm with Application to Engineer a Constitutively Active MAP Kinase

Abstract

A general method for designing proteins with high conformational specificity is desirable for a variety of applications, including enzyme design and drug target redesign. To assess the ability of algorithms to design for conformational specificity, we introduce MotifDiv, a benchmark dataset of 200 conformational specificity design challenges. We also introduce CSDesign, an algorithm for designing proteins with high preference for a target conformation over an alternate conformation. On the MotifDiv benchmark, CSDesign designs protein sequences that are predicted to prefer the target conformation. We apply this method in vitro to redesign human MAP kinase ERK2, an enzyme with active and inactive conformations. Out of two designs for the active conformation, one increased activity sufficiently to retain activity in the absence of activating phosphorylations, a property not present in the wild type protein.

Cite

Text

Stern et al. "Conformation-Specific Design: A New Benchmark and Algorithm with Application to Engineer a Constitutively Active MAP Kinase." ICLR 2025 Workshops: GEM, 2025.

Markdown

[Stern et al. "Conformation-Specific Design: A New Benchmark and Algorithm with Application to Engineer a Constitutively Active MAP Kinase." ICLR 2025 Workshops: GEM, 2025.](https://mlanthology.org/iclrw/2025/stern2025iclrw-conformationspecific/)

BibTeX

@inproceedings{stern2025iclrw-conformationspecific,
  title     = {{Conformation-Specific Design: A New Benchmark and Algorithm with Application to Engineer a Constitutively Active MAP Kinase}},
  author    = {Stern, Jacob and Alharbi, Siba and Sandholu, Anandsukeerthi and Arold, Stefan T. and Della Corte, Dennis},
  booktitle = {ICLR 2025 Workshops: GEM},
  year      = {2025},
  url       = {https://mlanthology.org/iclrw/2025/stern2025iclrw-conformationspecific/}
}