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O Lichtarge

Publications and source records attributed to O Lichtarge.

25 records · Page 2Linked to original sources
PubMed1996

Rhodopsin activation blocked by metal-ion-binding sites linking transmembrane helices C and F.

A large superfamily of receptors containing seven transmembrane (TM) helices transmits hormonal and sensory signals across the plasma membrane to heterotrimeric G proteins at the cytoplasmic face of the membrane. To investigate how G-protein-coupled receptors work at the molecular level, we have engineered metal-ion-binding sites between TM helices to restrain activation-induced conformational change in specific locations. In rhodopsin, the photoreceptor of retinal rod cells, we substituted histidine residues for natural amino acids at the cytoplasmic ends of the TM helices C and F. The resulting mutant proteins were able to activate the visual G protein transducin in the absence but not in the presence of metal ions. These results indicate that the TM helices C and F are in close proximity and suggest that movements of these helices relative to one another are required for transducin activation. Thus a change in the orientations of TM helices C and F is likely to be a key element in the mechanism for coupling binding of ligands (or isomerization of retinal) to the activation of G-protein-coupled receptors.

Amino Acid Sequence↗
PubMed1996

Evolutionarily conserved Galphabetagamma binding surfaces support a model of the G protein-receptor complex.

The pivotal role of G proteins in sensory, hormonal, inflammatory, and proliferative responses has provoked intense interest in understanding how they interact with their receptors and effectors. Nonetheless, the locations of the receptors and effector binding sites remain poorly characterized, although nearly complete structures of the alphabetagamma heterotrimeric complex are available. Here we apply evolutionary trace (ET) analysis [Lichtarge, O., Bourne, H. R. & Cohen, F. E. (1996) J. Mol. Biol. 257, 342-358] to propose plausible locations for these sites. On each subunit, ET identifies evolutionarily selected surfaces composed of residues that do not vary within functional subgroups and that form spatial clusters. Four clusters correctly identify subunit interfaces, and additional clusters on Galpha point to likely receptor or effector binding sites. Our results implicate the conformationally variable region of Galpha in an effector binding role. Furthermore the range of predicted interactions between the receptor and Galphabetagamma, is sufficiently limited that we can build a low resolution and testable model of the receptor-G protein complex.

Amino Acid Sequence↗
PubMed1996

An evolutionary trace method defines binding surfaces common to protein families.

X-ray or NMR structures of proteins are often derived without their ligands, and even when the structure of a full complex is available, the area of contact that is functionally and energetically significant may be a specialized subset of the geometric interface deduced from the spatial proximity between ligands. Thus, even after a structure is solved, it remains a major theoretical and experimental goal to localize protein functional interfaces and understand the role of their constituent residues. The evolutionary trace method is a systematic, transparent and novel predictive technique that identifies active sites and functional interfaces in proteins with known structure. It is based on the extraction of functionally important residues from sequence conservation patterns in homologous proteins, and on their mapping onto the protein surface to generate clusters identifying functional interfaces. The SH2 and SH3 modular signaling domains and the DNA binding domain of the nuclear hormone receptors provide tests for the accuracy and validity of our method. In each case, the evolutionary trace delineates the functional epitope and identifies residues critical to binding specificity. Based on mutational evolutionary analysis and on the structural homology of protein families, this simple and versatile approach should help focus site-directed mutagenesis studies of structure-function relationships in macromolecules, as well as studies of specificity in molecular recognition. More generally, it provides an evolutionary perspective for judging the functional or structural role of each residue in protein structure.

Amino Acid Sequence↗
PubMed1987

Secondary structure determination of human beta-endorphin by 1H NMR spectroscopy.

The 1H NMR spectra of human beta-endorphin indicate that the peptide exists in random-coil form in aqueous solution but becomes helical in mixed solvent. Thermal denaturation NMR experiments show that in water there is no transition between 24 and 75 degrees C, while a slow noncooperative thermal unfolding is observed in a 60% methanol-40% water mixed solvent in the same temperature range. These findings are consistent with circular dichroism studies by other workers concluding that beta-endorphin is a random coil in water but that it forms 50% alpha-helix or more in mixed solvents. The peptide in the mixed water-methanol solvent was further studied by correlated spectroscopy (COSY) and nuclear Overhauser effect spectroscopy (NOESY) experiments. These allow a complete set of assignments to be made and establish two distinct stretches over which the solvent induces formation of alpha-helices: the first occurs between Tyr-1 and Thr-12 and the second between Leu-14 and extending to Lys-28. There is evidence that the latter is capped by a turn occurring between Lys-28 and Glu-31. These helices form at the enkephalin receptor binding site, which is at the amino terminus, and at the morphine receptor binding site, located at the carboxyl terminus [Li, C. H. (1982) Cell (Cambridge, Mass.) 31, 504-505]. Our findings suggest that these two receptors may specifically recognize alpha-helices.

Amino Acid Sequence↗
PubMed1987

Validation of the first step of the heuristic refinement method for the derivation of solution structures of proteins from NMR data.

A new method for the analysis of NMR data in terms of the solution structure of proteins has been developed. The method consists of two steps: first a systematic search of the conformational space to define the region allowed by the initial set of experimental constraints, and second, the narrowing of this region by the introduction of additional constraints and optional refinement procedures. The search of the conformational space is guided by heuristics to make it computationally feasible. The method is therefore called the heuristic refinement method and is coded in an expert system called PROTEAN. The paper describes the validation of the first step of the method using an artificial NMR data set generated from the known crystal structure of sperm whale carbon monoxymyoglobin. It is shown that the initial search procedure yields a low-resolution structure of the myoglobin molecule, accurately reproducing its main topological features, and that the precision of the structure depends on the quality of the initial data set.

Expert Systems↗