Unveiling the structural mechanisms behind high affinity and selectivity in phosphorylated epitope-specific rabbit antibodies

Protein phosphorylation is a crucial process in various cellular functions, and its irregularities have been implicated in several diseases, including cancer. Antibodies are commonly employed to detect protein phosphorylation in research. However, unlike the extensive studies on recognition mechanisms of the phosphate group by proteins such as kinases and phosphatases, only a few studies have explored antibody mechanisms. In this study, we produced and characterized two rabbit monoclonal antibodies that recognize a monophosphorylated Akt peptide. Through crystallography, thermodynamic mutational analyses, and molecular dynamics simulations, we investigated the unique recognition mechanism that enables higher binding affinity and selectivity of the antibodies compared to other generic proteins with lower binding affinity to phosphorylated epitopes. Our results demonstrate that molecular dynamics simulations provide novel insights into the dynamic aspects of molecular recognition of posttranslational modifications by proteins beyond static crystal structures, highlighting how specific atomic level interactions drive the exceptional affinity and selectivity of antibodies.

Authors

Institutions

Publication Details

Journal
Journal of Biological Chemistry
Published
2024-11-13
DOI
https://doi.org/10.1016/j.jbc.2024.107989
Citations
2
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling the structural mechanisms behind high affinity and selectivity in phosphorylated epitope-specific rabbit antibodies

Kevin C. Entzminger, Makoto Nakakido, Ryo Matsunaga, José M. M. Caaveiro et al.
2 citations
Journal of Biological Chemistry
Monoclonal and Polyclonal Antibodies Research
0.81
article

Unveiling the structural mechanisms behind high affinity and selectivity in phosphorylated epitope-specific rabbit antibodies

Kevin C. Entzminger, Makoto Nakakido, Ryo Matsunaga, José M. M. Caaveiro, Shigeru C J Okumura, Toshiaki Maruyama, Kouhei Tsumoto, Keisuke Kasahara, Hiroki Akiba, Daisuke Kuroda, Raiji Kawade
article en
2 citations

Abstract

Protein phosphorylation is a crucial process in various cellular functions, and its irregularities have been implicated in several diseases, including cancer. Antibodies are commonly employed to detect protein phosphorylation in research. However, unlike the extensive studies on recognition mechanisms of the phosphate group by proteins such as kinases and phosphatases, only a few studies have explored antibody mechanisms. In this study, we produced and characterized two rabbit monoclonal antibodies that recognize a monophosphorylated Akt peptide. Through crystallography, thermodynamic mutational analyses, and molecular dynamics simulations, we investigated the unique recognition mechanism that enables higher binding affinity and selectivity of the antibodies compared to other generic proteins with lower binding affinity to phosphorylated epitopes. Our results demonstrate that molecular dynamics simulations provide novel insights into the dynamic aspects of molecular recognition of posttranslational modifications by proteins beyond static crystal structures, highlighting how specific atomic level interactions drive the exceptional affinity and selectivity of antibodies.

Journal of Biological ChemistryVol. 300(12)
Kyushu University (JP), Pacific Environment (US), National Institute of Biomedical Innovation, Health and Nutrition (JP), The University of Tokyo (JP)
Japan Agency for Medical Research and Development, Okawa Foundation for Information and Telecommunications, University of Tokyo, Japan Society for the Promotion of Science, Institute of Medical Science, University of Tokyo, Core Research for Evolutional Science and Technology
Zero hunger
Openalex Percentile: Top 24%
Monoclonal and Polyclonal Antibodies Research
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.