1mrg Citations

Studies on crystal structures, active-centre geometry and depurinating mechanism of two ribosome-inactivating proteins.

Biochem J 309 ( Pt 1) 285-98 (1995)
Related entries: 1mrh, 1mri, 1mrj, 1mrk

Cited: 41 times
EuropePMC logo PMID: 7619070

Abstract

Two ribosome-inactivating proteins, trichosanthin and alpha-momorcharin, have been studied in the forms of complexes with ATP or formycin, by an X-ray-crystallographic method at 1.6-2.0 A (0.16-0.20 nm) resolution. The native alpha-momorcharin had been studied at 2.2 A resolution. Structures of trichosanthin were determined by a multiple isomorphous replacement method. Structures of alpha-momorcharin were determined by a molecular replacement method using refined trichosanthin as the searching model. Small ligands in all these complexes have been recognized and built on the difference in electron density. All these structures have been refined to achieve good results, both in terms of crystallography and of ideal geometry. These two proteins show considerable similarity in their three-dimensional folding and to that of related proteins. On the basis of these structures, detailed geometries of the active centres of these two proteins are described and are compared with those of related proteins. In all complexes the interactions between ligand atoms and protein atoms, including hydrophobic forces, aromatic stacking interactions and hydrogen bonds, are found to be specific towards the adenine base. The relationship between the sequence conservation of ribosome-inactivating proteins and their active-centre geometry was analysed. A depurinating mechanism of ribosome-inactivating proteins is proposed on the basis of these results. The N-7 atom of the substrate base group is proposed to be protonated by an acidic residue in the active centre.

Articles - 1mrg mentioned but not cited (11)

  1. LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation. Huang B, Schroeder M. BMC Struct Biol 6 19 (2006)
  2. PocketPicker: analysis of ligand binding-sites with shape descriptors. Weisel M, Proschak E, Schneider G. Chem Cent J 1 7 (2007)
  3. Predicting the accuracy of protein-ligand docking on homology models. Bordogna A, Pandini A, Bonati L. J Comput Chem 32 81-98 (2011)
  4. Binding of adenine to Stx2, the protein toxin from Escherichia coli O157:H7. Fraser ME, Cherney MM, Marcato P, Mulvey GL, Armstrong GD, James MN. Acta Crystallogr Sect F Struct Biol Cryst Commun 62 627-630 (2006)
  5. Improving the performance of the PLB index for ligand-binding site prediction using dihedral angles and the solvent-accessible surface area. Cao C, Xu S. Sci Rep 6 33232 (2016)
  6. PMFF: Development of a Physics-Based Molecular Force Field for Protein Simulation and Ligand Docking. Hwang SB, Lee CJ, Lee S, Ma S, Kang YM, Cho KH, Kim SY, Kwon OY, Yoon CN, Kang YK, Yoon JH, Nam KY, Kim SG, In Y, Chai HH, Acree WE, Grant JA, Gibson KD, Jhon MS, Scheraga HA, No KT. J Phys Chem B 124 974-989 (2020)
  7. A new definition and properties of the similarity value between two protein structures. Saberi Fathi SM. J Biol Phys 42 621-636 (2016)
  8. An Efficient ABC_DE_Based Hybrid Algorithm for Protein-Ligand Docking. Guan B, Zhang C, Zhao Y. Int J Mol Sci 19 E1181 (2018)
  9. Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap. Jones G, Jindal A, Ghani U, Kotelnikov S, Egbert M, Hashemi N, Vajda S, Padhorny D, Kozakov D. Acta Crystallogr D Struct Biol 78 690-697 (2022)
  10. Exploring the landscape of protein-ligand interaction energy using probabilistic approach. Pacholczyk M, Kimmel M. J Comput Biol 18 843-850 (2011)
  11. Genetic Profiling of Pediatric Patients with B-Cell Precursor Acute Lymphoblastic Leukemia. Akin-Bali DF, Doganay Erdogan B, Aslar Oner D, Mahmud A, Tasdelen S, Kurekci E, Akar N, Ozdag Sevgili H. J Pediatr Genet 12 288-300 (2023)


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