001     299820
005     20250411111705.0
024 7 _ |a 10.1016/j.jsb.2025.108193
|2 doi
024 7 _ |a pmid:40086706
|2 pmid
024 7 _ |a 1047-8477
|2 ISSN
024 7 _ |a 1095-8657
|2 ISSN
024 7 _ |a altmetric:175210409
|2 altmetric
037 _ _ |a DKFZ-2025-00557
041 _ _ |a English
082 _ _ |a 540
100 1 _ |a Maier, Philip
|b 0
245 _ _ |a MRGPRX2 ligandome: Molecular simulations reveal three categories of ligand-receptor interactions.
260 _ _ |a San Diego, Calif.
|c 2025
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1744362971_25914
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #LA:D190# / Volume 217, Issue 2, June 2025, 108193 / HI-TRON Mainz
520 _ _ |a Mas-related G protein-coupled receptor (MRGPR) X2 is a mast cell receptor known to be activated by a wide range of ligands of various size, charge and origin. Our aim is to gain a deeper understanding of the binding processes of the different MRGPRX2 ligands and the ligand-receptor interactions in order to identify crucial structural elements for receptor activation.We used the three-dimensional structure of MRGPRX2 described in Nature in 2021 by Cao et al. and Yang et al. to computationally model the interaction between MRGPRX2 and small molecule ligands under simulated physiological conditions.Docking and post-docking samplings of the MRGPRX2 ligandome within the GPCR binding pocket led to the identification of key structural features for protein-ligand interactions. On the ligand side, we obtained an overlay of different molecular patterns or chemical groups by comparing different ligands plotted on the receptor. These key features include at least one protonated amine moiety of MRGPRX2 ligands contributing to one salt-bridge and one π-cation interaction, as well as an extended non-polar domain of the ligand surface that offer hydrophobic segregation and/or π-stacking interactions. In the receptor, we identified amino acids (GLU164, ASP184, PHE101, PHE170, TRP243, PHE244 and PHE257) that specifically interact via hydrogen bonding, salt-bridges, π-cation interactions and π-π stacking with the ligands to direct binding and ultimately receptor activation.Our insights into ligand-receptor interaction obtained by molecular modeling can help to predict mast cell activation via MRGPRX2 including adverse reactions, and facilitate the development of MRGPRX2 antagonists for the treatment of mast cell-mediated diseases.
536 _ _ |a 314 - Immunologie und Krebs (POF4-314)
|0 G:(DE-HGF)POF4-314
|c POF4-314
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Docking
|2 Other
650 _ 7 |a Ligand-receptor interaction
|2 Other
650 _ 7 |a Mas-related G protein coupled receptor X2
|2 Other
650 _ 7 |a Molecular recognition
|2 Other
650 _ 7 |a Pharmacophore
|2 Other
700 1 _ |a Macht, Moritz
|b 1
700 1 _ |a Beck, Silvan
|b 2
700 1 _ |a Kolkhir, Pavel
|b 3
700 1 _ |a Babina, Magda
|b 4
700 1 _ |a Kremer, Andreas E
|b 5
700 1 _ |a Zahn, Dirk
|b 6
700 1 _ |a Wolf, Katharina
|0 P:(DE-He78)e107b92b947a96777fe426a2ea115115
|b 7
|e Last author
|u dkfz
773 _ _ |a 10.1016/j.jsb.2025.108193
|g p. 108193 -
|0 PERI:(DE-600)1469822-5
|n 2
|p 108193
|t Journal of structural biology
|v 217
|y 2025
|x 1047-8477
909 C O |p VDB
|o oai:inrepo02.dkfz.de:299820
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)e107b92b947a96777fe426a2ea115115
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-314
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Immunologie und Krebs
|x 0
914 1 _ |y 2025
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2025-01-07
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J STRUCT BIOL : 2022
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-07
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2025-01-07
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-07
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2025-01-07
920 2 _ |0 I:(DE-He78)D190-20160331
|k D190
|l HI-TRON zentral
|x 0
920 1 _ |0 I:(DE-He78)D190-20160331
|k D190
|l HI-TRON zentral
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)D190-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21