Receptor information, retrieval

Retrieval of Receptor Information and Signal Transduction Pathways... 

Holley, A. and Doving, K.B. (1977). Receptor sensitivity, acceptor distribution, convergence and neural coding in the olfactory system. In J. LeMagnen and P. MacLeod (Eds), Olfaction and Taste, VI. pp. 113-133. Information Retrieval Ltd., London. 

Gesteland, R.C. Receptor membrane functions in chemorecep-tlon implications from single unit studies. In Benz, G., Ed., "Structure-activity Relationships In Chemoreceptlon." Information Retrieval, London, 1976, pp. 161-168. 

Boeckh, J. (1980) Neural basis of coding of chemosensory quality at the receptor cell level. In Olfaction and Taste, Vol. VII (van der Starre, H., ed.) pp. 113-22. Information Retrieval, London. 

Schoonhoven, L. M. (1974) Comparative aspects of taste receptor specificity. In Transduction Mechanisms in Chemoreception (Poynder, T. M., ed.) pp. 189-201. Information Retrieval, London. 

Digital storage and retrieval of chemical information is found in the nucleic adds where the basic digital operation is a two state 2/3 process (2 versus 3 hydrogen bonds in A T and G C base pairs respectively) corresponding to the usual 0/1 commutation of electronic computers. It may also be envisaged for multisite receptors or multiredox systems possessing distinct states of site occupation or of oxidation. 

The basic model that we have been using for clairvoyance (Figure 2-1) can be used for the PMIR if one change is made. The clairvoyance model assumed that our conscious minds activate psi by desiring or otherwise informing unconscious processes or the psi receptor processes to search for and retrieve the desired psi information. In the PMIR model, we must assume that the psi receptor and the unconscious mind are active (at least sometimes, perhaps all the time) whether or not the conscious mind desires this. The scanning of the environment by psi activates unconscious mental processes, which may, in turn, call for more psi, and so on. Finally, this affects conscious mental processes or directly affects behavior and results in need-satisfying action. 

Firstly, and most importantly, a substructure search requires that the user who is posing the query must already have acquired a well-deffned view of what sorts of structure are expected to be retrieved from the database. For example, a 3D substructure search requires sufficient information about the geometric requirements for activity to be able to specify distance and/or angular constraints to characterize those molecules, and just those molecules, that can fit some putative receptor site. This implies that some form of pharmacophore map has been created, using techniques such as those described by Bures et al., which in turn implies that it has already been possible to identify sufficient active substances to generate the map. Substructure search is much less appropriate at the start of an investigation when perhaps only one or two active structures have been identified and when it is not at all clear which particular feature(s) within them are responsible for the observed activity. 

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