2019
DOI: 10.1039/c9ra01369e
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Computational analysis of hot spots and binding mechanism in the PD-1/PD-L1 interaction

Abstract: The hot spots quantitatively predicted by the recently developed MM/GBSA/IE method reveal a hydrophobic core in the PD-1/PD-L1 interaction.

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Cited by 24 publications
(13 citation statements)
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References 80 publications
(109 reference statements)
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“…The residues of the C, F and G regions fluctuated more in the dimer state (~2.0 Å) than in bound states (<2 Å), meaning that upon binding of BMS-200-related molecules, the domains showed more stable behavior. Our results agree with those of the literature, suggesting that sheet domains on the PD-L1 dimer are critical for the binding of small molecules and that the regions undergo significant conformational change [ 27 , 34 ]. In addition, when compared with the S system, more obvious fluctuations could be observed in the C”D loop of A PD-L1 and the BC loop of B PD-L1 in the R system, implying that the latter has enhanced flexibility, which was also coincident with the RMSD values.…”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…The residues of the C, F and G regions fluctuated more in the dimer state (~2.0 Å) than in bound states (<2 Å), meaning that upon binding of BMS-200-related molecules, the domains showed more stable behavior. Our results agree with those of the literature, suggesting that sheet domains on the PD-L1 dimer are critical for the binding of small molecules and that the regions undergo significant conformational change [ 27 , 34 ]. In addition, when compared with the S system, more obvious fluctuations could be observed in the C”D loop of A PD-L1 and the BC loop of B PD-L1 in the R system, implying that the latter has enhanced flexibility, which was also coincident with the RMSD values.…”
Section: Resultssupporting
confidence: 92%
“…Combinations of molecular modeling tools, such as molecular docking, molecular dynamics (MD) simulation and the molecular mechanics–Poisson Bolzmann surface area (MM-PBSA) approach [ 22 ], offer us a unique opportunity to construct protein–small-molecule antagonist systems [ 23 , 24 ], analyze recognition mechanisms [ 25 ] and recognize key residues at binding pockets [ 25 , 26 ]. Recently, Huang et al [ 27 ] predicted the hotspots in the PD-1/PD-L1 pathway and highlighted the importance of polar and nonpolar interactions between PD-1 and PD-L1 by MD simulations and binding free energy calculations. Ahmed et al [ 28 ] evaluated the dynamic characteristics of small-molecule binding regions on PD-L1, emphasizing the specific flexible domains at the PD-L1 surface and the key role of methionine residue for binding.…”
Section: Introductionmentioning
confidence: 99%
“…In the PD-1:PD-L1 interface, hot region containing hydrophobic regions are involved in hotspots 1 and 2 and are proposed to be ideal for binding to PD-L1 using conventional small molecules. Hotspots in the PD1:PD-L interaction have also been quantitatively predicted based on the theoretical calculations ( 36 ). This analysis has identified six hot spots on PD-L1 (Tyr123, Tyr56, Arg125, Met115, Arg113, and Gln66) and two warm spots on PD-L1 (Ile54 and Lys124) ( 36 ).…”
Section: Considerations For Targeting Pd-1 Signaling Pathway Using Sm...mentioning
confidence: 89%
“…Hotspots in the PD1:PD-L interaction have also been quantitatively predicted based on the theoretical calculations ( 36 ). This analysis has identified six hot spots on PD-L1 (Tyr123, Tyr56, Arg125, Met115, Arg113, and Gln66) and two warm spots on PD-L1 (Ile54 and Lys124) ( 36 ). Among various hotspots/hot regions reported, the hydrophilic hot region containing polar residues is reported to be a solvent exposed with extended shallow groove and with multiple hydrogen bond donors and acceptors and is considered to be challenging to target via conventional small molecules abiding the famous rule of five ( 37 ).…”
Section: Considerations For Targeting Pd-1 Signaling Pathway Using Sm...mentioning
confidence: 89%
“…The prediction of residues crucial for the formation of favorable protein-ligand or protein-protein interactions is an asset in the field of rational drug design. These decisive sets of amino acids are called ‘hotspots’ and numerous studies with the objective of quantifying the contribution of residues towards binding affinity have been conducted to facilitate precise identification of ‘hotspot’ residues [ 73 , 74 , 75 , 76 , 77 ]. Experimentally, the determination of ‘hotspots’ proceeds through traditional methods such as alanine scanning mutagenesis, structure-activity relationship by NMR and multiple solvent crystal structures (MSCS) [ 78 , 79 , 80 ].…”
Section: Computational Methods For the Prediction Of Protein-protementioning
confidence: 99%