Probing Conformational Dynamics of Antibodies with Geometric Simulations
- PMID: 36346589
- DOI: 10.1007/978-1-0716-2609-2_6
Probing Conformational Dynamics of Antibodies with Geometric Simulations
Abstract
This chapter describes the application of constrained geometric simulations for prediction of antibody structural dynamics. We utilize constrained geometric simulations method FRODAN, which is a low computational complexity alternative to molecular dynamics (MD) simulations that can rapidly explore flexible motions in protein structures. FRODAN is highly suited for conformational dynamics analysis of large proteins, complexes, intrinsically disordered proteins, and dynamics that occurs on longer biologically relevant time scales that are normally inaccessible to classical MD simulations. This approach predicts protein dynamics at an all-atom scale while retaining realistic covalent bonding, maintaining dihedral angles in energetically good conformations while avoiding steric clashes in addition to performing other geometric and stereochemical criteria checks. In this chapter, we apply FRODAN to showcase its applicability for probing functionally relevant dynamics of IgG2a, including large-amplitude domain-domain motions and motions of complementarity determining region (CDR) loops. As was suggested in previous experimental studies, our simulations show that antibodies can explore a large range of conformational space.
Keywords: Antibody dynamics; Geometric simulations; Protein flexibility; Rigidity Theory.
© 2023. Springer Science+Business Media, LLC, part of Springer Nature.
Similar articles
-
Geometric simulation of flexible motion in proteins.Methods Mol Biol. 2014;1084:173-92. doi: 10.1007/978-1-62703-658-0_10. Methods Mol Biol. 2014. PMID: 24061922
-
A normal mode-based geometric simulation approach for exploring biologically relevant conformational transitions in proteins.J Chem Inf Model. 2011 Jul 25;51(7):1604-22. doi: 10.1021/ci100461k. Epub 2011 Jun 23. J Chem Inf Model. 2011. PMID: 21639141
-
Molecular Dynamics Simulations Combined with Nuclear Magnetic Resonance and/or Small-Angle X-ray Scattering Data for Characterizing Intrinsically Disordered Protein Conformational Ensembles.J Chem Inf Model. 2019 May 28;59(5):1743-1758. doi: 10.1021/acs.jcim.8b00928. Epub 2019 Mar 18. J Chem Inf Model. 2019. PMID: 30840442 Review.
-
Repertoire Analysis of Antibody CDR-H3 Loops Suggests Affinity Maturation Does Not Typically Result in Rigidification.Front Immunol. 2018 Mar 2;9:413. doi: 10.3389/fimmu.2018.00413. eCollection 2018. Front Immunol. 2018. PMID: 29545810 Free PMC article.
-
Conformational ensembles of intrinsically disordered proteins and flexible multidomain proteins.Biochem Soc Trans. 2022 Feb 28;50(1):541-554. doi: 10.1042/BST20210499. Biochem Soc Trans. 2022. PMID: 35129612 Review.
Cited by
-
Molecular surface descriptors to predict antibody developability: sensitivity to parameters, structure models, and conformational sampling.MAbs. 2024 Jan-Dec;16(1):2362788. doi: 10.1080/19420862.2024.2362788. Epub 2024 Jun 10. MAbs. 2024. PMID: 38853585 Free PMC article.
-
Balancing G protein selectivity and efficacy in the adenosine A2A receptor.Nat Chem Biol. 2025 Jan;21(1):71-79. doi: 10.1038/s41589-024-01682-6. Epub 2024 Jul 31. Nat Chem Biol. 2025. PMID: 39085516
References
-
- Jacobs DJ, Rader AJ, Kuhn LA, Thorpe MF (2004) Protein flexibility predictions using graph theory. Proteins Struct Funct Genet 44:150–165 - DOI
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Research Materials