A Rigorous Framework for Calculating Protein-Protein Binding Affinities in Membranes

被引:11
作者
Blazhynska, Marharyta [1 ]
Gumbart, James C. [2 ]
Chen, Haochuan [1 ]
Tajkhorshid, Emad [3 ,4 ]
Roux, Benoit [5 ,6 ]
Chipot, Christophe [1 ,3 ,5 ,7 ]
机构
[1] Univ Lorraine, Lab Int Associe Ctr Natl Rech Sci & Univ Illinois, Unite Mixte Rech 7019, F-54506 Vandoeuvre Les Nancy, France
[2] Georgia Inst Technol, Sch Phys, Atlanta, GA 30332 USA
[3] Univ Illinois, Beckman Inst Adv Sci & Technol, NIH Ctr Macromol Modeling & Visualizat, Theoret & Computat Biophys Grp, Urbana, IL 61801 USA
[4] Univ Illinois, Dept Biochem, Urbana, IL 61801 USA
[5] Univ Chicago, Dept Biochem & Mol Biol, Chicago, IL 60637 USA
[6] Univ Chicago, Dept Chem, Chicago, IL 60637 USA
[7] Univ Hawaii Manoa, Dept Chem, Honolulu, HI 96822 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
HELIX-HELIX INTERACTIONS; TRANSMEMBRANE ALPHA-HELICES; ADAPTIVE BIASING FORCE; FREE-ENERGY CALCULATIONS; GLYCOPHORIN-A; MOLECULAR-DYNAMICS; DIMERIZATION MOTIF; LIPID-BILAYERS; ASSOCIATION; FIELD;
D O I
10.1021/acs.jctc.3c00941
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Calculating the binding free energy of integral transmembrane (TM) proteins is crucial for understanding the mechanisms by which they recognize one another and reversibly associate. The glycophorin A (GpA) homodimer, composed of two alpha-helical segments, has long served as a model system for studying TM protein reversible association. The present work establishes a methodological framework for calculating the binding affinity of the GpA homodimer in the heterogeneous environment of a membrane. Our investigation carefully considered a variety of protocols, including the appropriate choice of the force field, rigorous standardization reflecting the experimental conditions, sampling algorithm, anisotropic environment, and collective variables, to accurately describe GpA dimerization via molecular dynamics-based approaches. Specifically, two strategies were explored: (i) an unrestrained potential mean force (PMF) calculation, which merely enhances sampling along the separation of the two binding partners without any restraint, and (ii) a so-called "geometrical route", whereby the alpha-helices are progressively separated with imposed restraints on their orientational, positional, and conformational degrees of freedom to accelerate convergence. Our simulations reveal that the simplified, unrestrained PMF approach is inadequate for the description of GpA dimerization. Instead, the geometrical route, tailored specifically to GpA in a membrane environment, yields excellent agreement with experimental data within a reasonable computational time. A dimerization free energy of -10.7 kcal/mol is obtained, in fairly good agreement with available experimental data. The geometrical route further helps elucidate how environmental forces drive association before helical interactions stabilize it. Our simulations also brought to light a distinct, long-lived spatial arrangement that potentially serves as an intermediate state during dimer formation. The methodological advances in the generalized geometrical route provide a powerful tool for accurate and efficient binding-affinity calculations of intricate TM protein complexes in inhomogeneous environments.
引用
收藏
页码:9077 / 9092
页数:16
相关论文
共 50 条
[41]   Multiple Functional Protein-Protein Interaction Interfaces Allosterically Regulate ATP-Binding in Cyclin-Dependent Kinase-1 [J].
Vishwakarma, Krishna Kant ;
Kolthur, Ullas Seetharam ;
Venkatramani, Ravindra .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2024, 92 (11) :1329-1342
[42]   Computational methods for calculation of protein-ligand binding affinities in structure-based drug design [J].
Dutkiewicz, Zbigniew .
PHYSICAL SCIENCES REVIEWS, 2022, 7 (09) :933-968
[43]   Using collections of structural models to predict changes of binding affinity caused by mutations in protein-protein interactions [J].
Meseguer, Alberto ;
Dominguez, Lluis ;
Bota, Patricia M. ;
Aguirre-Plans, Joaquim ;
Bonet, Jaume ;
Fernandez-Fuentes, Narcis ;
Oliva, Baldo .
PROTEIN SCIENCE, 2020, 29 (10) :2112-2130
[44]   Relative Binding Affinity Prediction of Charge-Changing Sequence Mutations with FEP in Protein-Protein Interfaces [J].
Clark, Anthony J. ;
Negron, Christopher ;
Hauser, Kevin ;
Sun, Mengzhen ;
Wang, Lingle ;
Abel, Robert ;
Friesner, Richard A. .
JOURNAL OF MOLECULAR BIOLOGY, 2019, 431 (07) :1481-1493
[45]   Protein-Protein Interaction-Gaussian Accelerated Molecular Dynamics (PPI-GaMD): Characterization of Protein Binding Thermodynamics and Kinetics [J].
Wang, Jinan ;
Miao, Yinglong .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2022, 18 (03) :1275-1285
[46]   Interaction between tissue transglutaminase and amyloid-beta: Protein-protein binding versus enzymatic crosslinking [J].
Wilhelmus, Micha M. M. ;
Jongenelen, Cornelis A. ;
Bol, John G. J. M. ;
Drukarch, Benjamin .
ANALYTICAL BIOCHEMISTRY, 2020, 592
[47]   Prediction of protein-ligand binding affinities using multiple instance learning [J].
Teramoto, Reiji ;
Kashima, Hisashi .
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2010, 29 (03) :492-497
[48]   Accounting for Ligand Conformational Restriction in Calculations of Protein-Ligand Binding Affinities [J].
Gao, Cen ;
Park, Min-Sun ;
Stern, Harry A. .
BIOPHYSICAL JOURNAL, 2010, 98 (05) :901-910
[49]   Impact of Stable Protein-protein Interaction on Protein Conformational Space [J].
Li Wenzhao ;
Meng Wei ;
Tian Pu .
CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2015, 31 (01) :149-155
[50]   RECENT THEORETICAL AND COMPUTATIONAL ADVANCES FOR MODELING PROTEIN-LIGAND BINDING AFFINITIES [J].
Gallicchio, Emilio ;
Levy, Ronald M. .
ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY, VOL 85: COMPUTATIONAL CHEMISTRY METHODS IN STRUCTURAL BIOLOGY, 2011, 85 :27-80