<p>Sliding Window INteraction Grammar (SWING): a generalized interaction language model for peptide and protein interactions</p>

Jane C Siwek; Alisa Omelchenko; Prabal Chhibbar; Sanya Arshad; Iliyan Nazarali; Kiran Nazarali; AnnaElaine Rosengart; Javad Rahimikollu; Jeremy Tilstra; Mark J Shlomchik; David R Koes; Akash Patel; Alok V Joglekar; Jishnu Das

doi:10.7490/f1000research.1120004.1

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Siwek JC, Omelchenko A, Chhibbar P et al. Sliding Window INteraction Grammar (SWING): a generalized interaction language model for peptide and protein interactions [version 1; not peer reviewed]. F1000Research 2024, 13:1391 (slides) (https://doi.org/10.7490/f1000research.1120004.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Sliding Window INteraction Grammar (SWING): a generalized interaction language model for peptide and protein interactions

Jane C Siwek, Alisa Omelchenko, Prabal Chhibbar, Sanya Arshad, Iliyan Nazarali, Kiran Nazarali, AnnaElaine Rosengart, Javad Rahimikollu, Jeremy Tilstra, Mark J Shlomchik, David R Koes, Akash Patel, Alok V Joglekar¹, Jishnu Das¹

Published 19 Nov 2024 (https://doi.org/10.7490/f1000research.1120004.1)

Author Affiliations

¹ Center for Systems Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

Copyright © 2024 Siwek JC et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 19 Nov 2024

Sliding Window INteraction Grammar (SWING): a generalized interaction language model for peptide and protein interactions
[version 1; not peer reviewed]

Author Affiliations

¹ Center for Systems Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

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Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

protein protein interaction, pMHC, missense mutation, protein language model, representation learning, machine learning, deep learning

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