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Updated: Jun 11, 2025

Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein
Published on: June 30, 2019
Predicting protein interactions of the kinase Lck critical to T cell modulation
1Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA; AgnistaBio Inc, Palo Alto, CA 94301, USA.
Abstract:
Protein-protein interactions (PPIs) play pivotal roles in directing T cell fate. One key player is the non-receptor tyrosine protein kinase Lck that helps to transduce T cell activation signals. Lck is mediated by other proteins via interactions that are inadequately understood. Here, we use the deep learning method AF2Complex to predict PPIs involving Lck, by screening it against ∼1,000 proteins implicated in immune responses, followed by extensive structural modeling for selected interactions. Remarkably, we describe how Lck may be specifically targeted by a palmitoyltransferase using a phosphotyrosine motif. We uncover "hotspot" interactions between Lck and the tyrosine phosphatase CD45, leading to a significant conformational shift of Lck for activation. Lastly, we present intriguing interactions between the phosphotyrosine-binding domain of Lck and the cytoplasmic tail of the immune checkpoint LAG3 and propose a molecular mechanism for its inhibitory role. Together, this multifaceted study provides valuable insights into T cell regulation and signaling.
Insights
This study reveals novel protein interactions involving Lck kinase, crucial for T cell signaling. We identified specific interactions with CD45 and LAG3, providing new insights into T cell regulation and immune responses.
Area of Science:
- Immunology
- Molecular Biology
- Structural Biology
Background:
- Protein-protein interactions (PPIs) are critical for T cell fate determination.
- The non-receptor tyrosine kinase Lck is central to T cell activation signaling.
- Many Lck-mediated interactions remain poorly understood.
Purpose of the Study:
- To predict and structurally model PPIs involving Lck.
- To elucidate the molecular mechanisms of Lck interactions with CD45 and LAG3.
- To provide insights into T cell regulation and signaling pathways.
Main Methods:
- Deep learning method AF2Complex for PPI prediction.
- Screening Lck against ~1,000 immune response proteins.
- Extensive structural modeling of selected Lck interactions.
Main Results:
- Predicted specific targeting of Lck by a palmitoyltransferase via a phosphotyrosine motif.
- Uncovered 'hotspot' interactions between Lck and CD45, inducing Lck conformational changes for activation.
- Identified interactions between Lck's phosphotyrosine-binding domain and LAG3, proposing a mechanism for LAG3's inhibitory role.
Conclusions:
- The study provides valuable insights into T cell regulation and signaling.
- Novel Lck interactions with CD45 and LAG3 have been elucidated.
- Deep learning approaches can effectively predict and model functionally relevant PPIs.
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