Biomedical subjects

J A García-Ranea

Publications and source records attributed to J A García-Ranea.

3 recordsLinked to original sources

PubMed1999

Model of the ran-RCC1 interaction using biochemical and docking experiments.

RCC1, the regulator of chromosome condensation, is the guanine nucleotide exchange factor (GEF) for the nuclear Ras-like GTP-binding protein Ran. Its structure was solved by X-ray crystallography and revealed a seven-bladed beta-propeller, one side of which was proposed to be the interaction site with Ran. To gain more insight into this interaction, alanine mutagenesis studies were performed on conserved residues on the surface of the structure. Purified mutant proteins were analysed by steady-state kinetic analysis of their GEF activities towards Ran. A number of residues were identified whose mutation affected either the KMor kcatof the overall reaction, or had no effect. Mutants were further analysed by plasmon surface resonance in order to get more information on individual steps of the complex reaction pathway. Ran-GDP was coupled to the sensor chip and reacted with RCC1 mutants to categorise them into different groups, demonstrating the usefulness of plasmon surface resonance in the study of complex multi-step kinetic processes. A docking solution of Ran-RCC1 structures in combination with sequence analysis allows prediction of the site of interaction between RCC1 and Ran and proposes a model for the Ran-RCC1 structure which corresponds to and extends the biochemical data. Three invariant residues which most severely affect the kcatof the reaction, D128, D182 and H304, are located in the centre of the Ran-RCC1 interface and interfere with switch II and the phosphate binding area. The structural model suggests that different guanine nucleotide exchange factors use a similar interaction site on their respective GTP-binding proteins, but that the molecular mechanisms for the release of nucleotides are likely to be different.

Alanine↗

PubMed1999

Effector recognition by the small GTP-binding proteins Ras and Ral.

The Ral effector protein RLIP76 (also called RIP/RalBP1) binds to Ral.GTP via a region that shares no sequence homology with the Ras-binding domains of the Ser/Thr kinase c-Raf-1 and the Ral-specific guanine nucleotide exchange factors. Whereas the Ras-binding domains have a similar ubiquitin-like structure, the Ral-binding domain of RLIP was predicted to comprise a coiled-coil region. In order to obtain more information about the specificity and the structural mode of the interaction between Ral and RLIP, we have performed a sequence space and a mutational analysis. The sequence space analysis of a comprehensive nonredundant assembly of Ras-like proteins strongly indicated that positions 36 and 37 in the core of the effector region are tree-determinant positions for all subfamilies of Ras-like proteins and dictate the specificity of the interaction of these GTPases with their effector proteins. Indeed, we could convert the specific interaction with Ras effectors and RLIP by mutating these residues in Ras and Ral. We therefore conclude that positions 36 and 37 are critical for the discrimination between Ras and Ral effectors and that, despite the absence of sequence homology between the Ral-binding and the Ras-binding domains, their mode of interaction is most probably similar.

ATP-Binding Cassette Transporters↗

PubMed1996

Search for ancient patterns in protein sequences.

Proteins of related functions are often similar in sequence, reflecting a common phylogenetic origin. Proteins with no known homology are probably diversified proteins, too distantly related to known sequences in databases to retain significant similarity. All proteins, however, probably share common ancestries if one moves far enough back in evolution; therefore, given the huge accumulation of protein sequences in current databases, it could be expected that some proteins with no obvious sequence resemblance to any other share some residues that could represent footprints of ancient common ancestries. To identify such putative footprints, we have searched for short stretches of amino acids present in a given protein sequence that are also found in a significant number of nonrelated proteins in the database. The significantly high frequency of occurrence of these "patterns" in the database would support a common evolutionary source, and a diversity of non-related proteins that contain the pattern would express their ancient origin. Using this strategy, significant patterns were found in actual exons, but not in randomized amino acid sequences, nor in "translated" sequences of noncoding DNA, suggesting that this strategy actually leads to the identification of patterns with a biological significance. These significant patterns are not randomly positioned along the sequences analyzed, but they tend to accumulate within specific regions, producing a profile of discrete "domains." In some well-known proteins analyzed in this study, some of these domains are coincident with known motifs. Thus, the procedure described in this paper could be useful for identifying ancient patterns and domains in protein sequences, some of which could also have a functional or structural significance.

Amino Acid Sequence↗