Dataset Information

Intramolecular interactions regulate SAP97 binding to GKAP.

ABSTRACT: Membrane-associated guanylate kinase homologs (MAGUKs) are multidomain proteins found to be central organizers of cellular junctions. In this study, we examined the molecular mechanisms that regulate the interaction of the MAGUK SAP97 with its GUK domain binding partner GKAP (GUK-associated protein). The GKAP-GUK interaction is regulated by a series of intramolecular interactions. Specifically, the association of the Src homology 3 (SH3) domain and sequences situated between the SH3 and GUK domains with the GUK domain was found to interfere with GKAP binding. In contrast, N-terminal sequences that precede the first PDZ domain in SAP97, facilitated GKAP binding via its association with the SH3 domain. Utilizing crystal structure data available for PDZ, SH3 and GUK domains, molecular models of SAP97 were generated. These models revealed that SAP97 can exist in a compact U-shaped conformation in which the N-terminal domain folds back and interacts with the SH3 and GUK domains. These models support the biochemical data and provide new insights into how intramolecular interactions may regulate the association of SAP97 with its binding partners.

SUBMITTER: Wu H

PROVIDER: S-EPMC305801 | biostudies-literature | 2000 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Intramolecular interactions regulate SAP97 binding to GKAP.

Wu H H Reissner C C Kuhlendahl S S Coblentz B B Reuver S S Kindler S S Gundelfinger E D ED Garner C C CC

The EMBO journal 20001101 21

Membrane-associated guanylate kinase homologs (MAGUKs) are multidomain proteins found to be central organizers of cellular junctions. In this study, we examined the molecular mechanisms that regulate the interaction of the MAGUK SAP97 with its GUK domain binding partner GKAP (GUK-associated protein). The GKAP-GUK interaction is regulated by a series of intramolecular interactions. Specifically, the association of the Src homology 3 (SH3) domain and sequences situated between the SH3 and GUK doma ...[more]

PMID: 11060025

Similar Datasets

Project description:A detailed analysis of the composition and properties of hydrophobic nuclei and microclusters in pancreatic ribonuclease A (RNase A) has been carried out. Distance calculations for all noncovalently bonded atoms revealed that the average number of nonpolar contacts between a side chain of an amino acid and its neighbors is substantially larger if it involves hydrophobic residues rather than nonhydrophobic ones. However, the difference decreased when the number of contacts per nonpolar group and/or atom were calculated. Three main nuclei and five microclusters were identified, and their quantitative parameters were calculated. These nuclei include hydrophobic residues with a substantial number of nonpolar contacts with the environment (Phe 8, Phe 120, Phe 46, Tyr 25, Tyr 97, Ile 107, Leu 35, Ile 81, Val 54, Val 108, Met 29, Met 30). Hydrophobic nuclei of RNase A differ in shape and in composition, in the number of intranuclear contacts and of associated residues, as well as in their internal mobility. All eight cysteine residues are involved in nonpolar interactions with amino acid residues of hydrophobic nuclei. Active site amino acid residues of RNase A form a noncovalent contact network comprised of themselves, as well as of many conserved residues from hydrophobic nuclei. Sequence alignment with some other members of the RNase A family of proteins shows remarkable similarity in positions and in conservation of the main nonpolar residues, comprising cores of two (out of three) hydrophobic nuclei. A correlation was shown to exist between the average density of contacts for side-chain atoms and the number of amino acids to be found in the appropriate positions in the sequences of related mammalian ribonucleases. However, there are certain amino acid positions in the third, smaller nucleus, which are highly variable within the family. Taking into account that this nucleus is composed of residues belonging to different elements of the secondary structure, it is likely that the mutual orientation of these elements can be somehow different for these proteins.

Project description:Numerous signaling proteins use multivalent binding to increase the specificity and affinity of their interactions within the cell. Enhancement arises because the effective binding constant for multivalent binding is larger than the binding constants for each individual interaction. We seek to gain both qualitative and quantitative understanding of the multivalent interactions of an adaptor protein, growth factor receptor bound protein-2 (Grb2), containing two SH3 domains interacting with the nucleotide exchange factor son-of-sevenless 1 (Sos1) containing multiple polyproline motifs separated by flexible unstructured regions. Grb2 mediates the recruitment of Sos1 from the cytosol to the plasma membrane where it activates Ras by inducing the exchange of GDP for GTP. First, using a combination of evolutionary information and binding energy calculations, we predict an additional polyproline motif in Sos1 that binds to the SH3 domains of Grb2. This gives rise to a total of five polyproline motifs in Sos1 that are capable of binding to the two SH3 domains of Grb2. Then, using a hybrid method combining molecular dynamics simulations and polymer models, we estimate the enhancement in local concentration of a polyproline motif on Sos1 near an unbound SH3 domain of Grb2 when its other SH3 domain is bound to a different polyproline motif on Sos1. We show that the local concentration of the Sos1 motifs that a Grb2 SH3 domain experiences is approximately 1000 times greater than the cellular concentration of Sos1. Finally, we calculate the intramolecular equilibrium constants for the crosslinking of Grb2 on Sos1 and use thermodynamic modeling to calculate the stoichiometry. With these equilibrium constants, we are able to predict the distribution of complexes that form at physiological concentrations. We believe this is the first systematic analysis that combines sequence, structure, and thermodynamic analyses to determine the stoichiometry of the complexes that are dominant in the cellular environment.

Dataset Information

Intramolecular interactions regulate SAP97 binding to GKAP.

Publications

Intramolecular interactions regulate SAP97 binding to GKAP.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets