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1.
Methods Mol Biol ; 2780: 257-280, 2024.
Article in English | MEDLINE | ID: mdl-38987472

ABSTRACT

The interactions of G-protein-coupled receptors (GPCRs) with other proteins are critical in several cellular processes but resolving their structural dynamics remains challenging. An increasing number of GPCR complexes have been experimentally resolved but others including receptor variants are yet to be characterized, necessitating computational predictions of their interactions. Although integrative approaches with multi-scale simulations would provide rigorous estimates of their conformational dynamics, protein-protein docking remains a first tool of choice of many researchers due to the availability of open-source programs and easy to use web servers with reasonable predictive power. Protein-protein docking algorithms have limited ability to consider protein flexibility, environment effects, and entropy contributions and are usually a first step towards more integrative approaches. The two critical steps of docking: the sampling and scoring algorithms have improved considerably and their performance has been validated against experimental data. In this chapter, we provide an overview and generalized protocol of a few docking protocols using GPCRs as test cases. In particular, we demonstrate the interactions of GPCRs with extracellular protein ligands and an intracellular protein effectors (G-protein) predicted from docking approaches and test their limitations. The current chapter will help researchers critically assess docking protocols and predict experimentally testable structures of GPCR complexes.


Subject(s)
Algorithms , Molecular Docking Simulation , Protein Binding , Receptors, G-Protein-Coupled , Receptors, G-Protein-Coupled/metabolism , Receptors, G-Protein-Coupled/chemistry , Molecular Docking Simulation/methods , Humans , Ligands , Software , Protein Conformation , Computational Biology/methods
2.
J Chem Inf Model ; 64(3): 837-850, 2024 02 12.
Article in English | MEDLINE | ID: mdl-38291973

ABSTRACT

The Martini coarse-grain force-field has emerged as an important framework to probe cellular processes at experimentally relevant time- and length-scales. However, the recently developed version, the Martini3 force-field with the implemented Go̅ model (Martini3Go̅), as well as previous variants of the Martini model have not been benchmarked and rigorously tested for globular proteins. In this study, we consider three globular proteins, ubiquitin, lysozyme, and cofilin, and compare protein dynamics and hydration with observables from experiments and all-atom simulations. We show that the Martini3Go̅ model is able to accurately model the structural and dynamic features of small globular proteins. Overall, the structural integrity of the proteins is maintained, as validated by contact maps, radii of gyration (Rg), and SAXS profiles. The chemical shifts predicted from the ensemble sampled in the simulations are consistent with the experimental data. Further, a good match is observed in the protein-water interaction energetics, and the hydration levels of the residues are similar to atomistic simulations. However, the protein-water interaction dynamics is not accurately represented and appears to depend on the protein structural complexity, residue specificity, and water dynamics. Our work is a step toward testing and assessing the Martini3Go̅ model and provides insights into future efforts to refine Martini models with improved solvation effects and better correspondence to the underlying all-atom systems.


Subject(s)
Molecular Dynamics Simulation , Proteins , Scattering, Small Angle , X-Ray Diffraction , Proteins/chemistry , Water/chemistry
3.
J Struct Biol ; 214(3): 107877, 2022 09.
Article in English | MEDLINE | ID: mdl-35750237

ABSTRACT

Chemokine receptors are the central signaling hubs of several processes such as cell migration, chemotaxis and cell positioning. In this graphical review, we provide an overview of the structural and mechanistic principles governing chemokine recognition that are currently emerging. Structural models of chemokine-receptor co-complexes with endogenous chemokines, viral chemokines and therapeutics have been resolved that highlight multiple interaction sites, termed as CRS1, CRS1.5 etc. The first site of interaction has been shown to be the N-terminal domain of the receptors (CRS1 site). A large structural flexibility of the N-terminal domain has been reported that was supported by both experimental and simulation studies. Upon chemokine binding, the N-terminal domain appears to show constricted dynamics and opens up to interact with the chemokine via a large interface. The subsequent sites such as CRS1.5 and CRS2 sites have been structurally well resolved although differences arise such as the localization of the N-terminus of the ligand to a major or minor pocket of the orthosteric binding site. Several computational studies have highlighted the dynamic protein-protein interface at the CRS1 site that seemingly appears to resolve the differences in NMR and mutagenesis studies. Interestingly, the differential dynamics at the CRS1 site suggests a mixed model of binding with complex signatures of both conformational selection and induced fit models. Integrative experimental and computational approaches could help unravel the structural basis of promiscuity and specificity in chemokine-receptor binding and open up new avenues of therapeutic design.


Subject(s)
Receptors, Chemokine , Signal Transduction , Binding Sites , Chemokines/chemistry , Chemokines/metabolism , Protein Binding , Receptors, Chemokine/genetics , Receptors, Chemokine/metabolism
4.
Int J Biol Macromol ; 206: 812-822, 2022 May 01.
Article in English | MEDLINE | ID: mdl-35306016

ABSTRACT

The chemokine receptor CXCR4 and its cognate ligand CXCL12 mediate pathways that lead to cell migration and chemotaxis. Although the structural details of related receptor-ligand complexes have been resolved, the roles of the N-terminal domain of the receptor and post-translational sulfation that are determinants of ligand selectivity and affinity remain unclear. Here, we analyze the structural dynamics induced by receptor sulfation by combining molecular dynamics, docking and network analysis. The sulfotyrosine residues, 7YsN-term, 12YsN-term and 21YsN-term allow the N-terminal domain of the apo-sulfated receptor to adopt an "open" conformation that appears to facilitate ligand binding. The overall topology of the CXCR4-CXCL12 complex is independent of the sulfation state, but an extensive network of protein-protein interactions characterizes the sulfated receptor, in line with its increased ligand affinity. The altered interactions of sulfotyrosine residues, such as 21YsN-term-47RCXCL12 replacing the 21YN-term-13FCXCL12 interaction, propagate via allosteric pathways towards the receptor lumen. In particular, our results suggest that the experimentally-reported receptor-ligand interactions 262D6.58-8RCXCL12 and 277E7.28-12RCXCL12 could be dependent on the sulfation state of the receptor and need to be carefully analyzed. Our work is an important step in understanding chemokine-receptor interactions and how post-translational modifications could modulate receptor-ligand complexes.


Subject(s)
Molecular Dynamics Simulation , Tyrosine , Ligands , Molecular Conformation , Protein Binding , Tyrosine/chemistry
5.
PLoS Comput Biol ; 17(5): e1008593, 2021 05.
Article in English | MEDLINE | ID: mdl-34014914

ABSTRACT

The dynamic interactions between G protein-coupled receptors (GPCRs) and their cognate protein partners are central to several cell signaling pathways. For example, the association of CXC chemokine receptor 1 (CXCR1) with its cognate chemokine, interleukin-8 (IL8 or CXCL8) initiates pathways leading to neutrophil-mediated immune responses. The N-terminal domain of chemokine receptors confers ligand selectivity, but unfortunately the conformational dynamics of this intrinsically disordered region remains unresolved. In this work, we have explored the interaction of CXCR1 with IL8 by microsecond time scale coarse-grain simulations, complemented by atomistic models and NMR chemical shift predictions. We show that the conformational plasticity of the apo-receptor N-terminal domain is restricted upon ligand binding, driving it to an open C-shaped conformation. Importantly, we corroborated the dynamic complex sampled in our simulations against chemical shift perturbations reported by previous NMR studies and show that the trends are similar. Our results indicate that chemical shift perturbation is often not a reporter of residue contacts in such dynamic associations. We believe our results represent a step forward in devising a strategy to understand intrinsically disordered regions in GPCRs and how they acquire functionally important conformational ensembles in dynamic protein-protein interfaces.


Subject(s)
Receptors, Interleukin-8A/chemistry , Amino Acid Sequence , Computational Biology , Computer Simulation , Humans , Interleukin-8/chemistry , Interleukin-8/metabolism , Intrinsically Disordered Proteins/chemistry , Ligands , Magnetic Resonance Spectroscopy , Models, Molecular , Molecular Dynamics Simulation , Protein Binding , Protein Conformation , Protein Interaction Domains and Motifs , Protein Interaction Mapping , Receptors, Interleukin-8A/genetics , Receptors, Interleukin-8A/metabolism
6.
Curr Opin Struct Biol ; 61: 191-197, 2020 04.
Article in English | MEDLINE | ID: mdl-32036279

ABSTRACT

Dynamic interactions between membrane proteins span a range of spatio-temporal scales and determine several cellular outcomes. Experimental methods in structure determination are able to resolve static protein-protein complexes at the membrane, but lack the resolution required for disordered, flexible domains and dynamic interactions. Computational approaches could bridge the resolution gap and help to unravel molecular details underlying these crucial interactions. Here, we review current approaches to predict dynamic membrane-protein complexes, with a focus on G protein-coupled receptors (GPCRs). Ensemble coarse-grain simulations have captured the conformational heterogeneity of several membrane receptor complexes. In conjunction, the conformational plasticity of protein interfaces especially encompassing unstructured domains is well represented by atomistic simulations. A combined integrative approach will pave the way forward to understand the molecular details of these dynamic complexes.


Subject(s)
Membrane Proteins/chemistry , Molecular Docking Simulation , Molecular Dynamics Simulation , Multiprotein Complexes/chemistry , Protein Conformation , Membrane Proteins/metabolism , Multiprotein Complexes/metabolism , Protein Binding , Protein Conformation, alpha-Helical , Protein Multimerization , Receptors, G-Protein-Coupled/chemistry , Receptors, G-Protein-Coupled/metabolism
7.
ChemMedChem ; 13(3): 220-226, 2018 02 06.
Article in English | MEDLINE | ID: mdl-29314706

ABSTRACT

We report a 100-fold increase in binding affinity of the Tat(48-57) peptide to HIV-1 transcriptional activator-responsive element (TAR) RNA by replacing Arg52, an essential and critical residue for Tat's specific binding, with (2S,4S)-4-guanidinoproline. The resulting αTat1M peptide is a far superior binder than γTat1M, a peptide containing another conformationally constrained arginine mimic, (2S,4S)-4-amino-N-(3-guanidinopropyl)proline, or even the control Tat peptide (CtrlTat) itself. Our observations are supported by circular dichroism (CD), isothermal titration calorimetry (ITC), gel electrophoresis and UV spectroscopy studies. Molecular dynamics simulations suggest increased interactions between the more compact αTat1M and TAR RNA, relative to CtrlTat. The CD signature of the RNA itself remains largely unchanged upon binding of the peptides. The Tat mimetics further have better cell uptake properties than the control Tat peptide, thus increasing their potential application as specific TAR-binding molecules.


Subject(s)
Arginine/chemistry , HIV-1/metabolism , Peptide Fragments/chemistry , Proline/analogs & derivatives , Proline/chemistry , tat Gene Products, Human Immunodeficiency Virus/chemistry , Amino Acid Sequence , Binding Sites , Cell Survival/drug effects , Guanidines/chemistry , HIV-1/drug effects , HeLa Cells , Humans , Molecular Docking Simulation , Molecular Dynamics Simulation , Molecular Mimicry , Peptide Fragments/pharmacology , Protein Binding , Protein Conformation , Stereoisomerism , tat Gene Products, Human Immunodeficiency Virus/pharmacology
8.
Chem Phys Lipids ; 210: 142-148, 2018 01.
Article in English | MEDLINE | ID: mdl-28939366

ABSTRACT

The CXC chemokine receptor 1 (CXCR1) is an important member of the G protein-coupled receptor (GPCR) family in which the extracellular N-terminal domain has been implicated in ligand binding and selectivity. The structure of this domain has not yet been elucidated due to its inherent dynamics, but experimental evidence points toward membrane-dependent organization and dynamics. To gain molecular insight into the interaction of the N-terminal domain with the membrane bilayer, we performed a series of microsecond time scale atomistic simulations of the N-terminal domain of CXCR1 in the presence and absence of POPC bilayers. Our results show that the peptide displays a high propensity to adopt a ß-sheet conformation in the presence of the membrane bilayer. The interaction of the peptide with the membrane bilayer was found to be transient in our simulations. Interestingly, a scrambled peptide, containing the same residues in a randomly varying sequence, did not exhibit membrane-modulated structural dynamics. These results suggest that sequence-dependent electrostatics, modulated by the membrane, could play an important role in folding of the N-terminal domain. We believe that our results reinforce the emerging paradigm that cellular membranes could be important modulators of function of G protein-coupled receptors such as CXCR1.


Subject(s)
Lipid Bilayers/chemistry , Molecular Dynamics Simulation , Receptors, Interleukin-8A/chemistry , Humans
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