application): Inhaled anesthetics are the most toxic and least understood drugs that physicians currently use. Improvements can only occur via a detailed understanding of their binding interactions, sites and targets. In this subproject of the program, we will continue to relate structural features of candidate protein targets with the stoichiometry and energetics of inhaled anesthetic binding using both isothermal titration calorimetry and amide hydrogen exchange (aim 1). Each target is structurally defined, so that features, such as cavity number, shape, volume, and polarity can be correlated with binding energetics. These features will be parameterized into a predictive, anesthetic binding algorithm, using the existing high-resolution apoferritin and serum albumin complexes for training, to mine further potential targets from the Protein Data Bank and the Protein Structure Initiative.
In aim 2, proteins from aim 1 that show specific binding will be co-crystallized with various inhaled anesthetics to gain further structural detail to be incorporated into the binding algorithm, to use in correlative analyses of affinity, and to probe for the structural consequences of binding. In addition to apoferritin and serum albumin, 4 proteins were identified in the last cycle that will be examined initially. Finally, in aim 3, the powerful method of anesthetic photolabeling will be further refined in two ways. First, combining photolabeling with crystallography will allow validation of revealed location, and an estimate of selectivity and mechanism of incorporation. Continued development of diazirine and diazo volatile compounds will occur, and emphasis will be placed on adduction detection methods. Important interactions will each of the other 4 projects exist;
these aims will contribute to the overall program goals by revealing the basis for affinity and stoichiometry- the energetic driver for altering protein conformation, and by revealing new and unanticipated inhaled anesthetic protein targets - either from the mining of existing databases, or through identification via photolabeling.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Program Projects (P01)
Project #
5P01GM055876-13
Application #
7937778
Study Section
Special Emphasis Panel (ZGM1-PPBC-6 (AN))
Program Officer
Cole, Alison E
Project Start
1997-06-01
Project End
2013-08-31
Budget Start
2010-09-01
Budget End
2013-08-31
Support Year
13
Fiscal Year
2010
Total Cost
$1,603,915
Indirect Cost
Name
University of Pennsylvania
Department
Anesthesiology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Loll, Patrick J (2018) Structural Analysis of Anesthetics in Complex with Soluble Proteins. Methods Enzymol 603:3-20
Yang, Elaine; Granata, Daniele; Eckenhoff, Roderic G et al. (2018) Propofol inhibits prokaryotic voltage-gated Na+ channels by promoting activation-coupled inactivation. J Gen Physiol 150:1299-1316
Woll, Kellie A; Guzik-Lendrum, Stephanie; Bensel, Brandon M et al. (2018) An allosteric propofol-binding site in kinesin disrupts kinesin-mediated processive movement on microtubules. J Biol Chem 293:11283-11295
Woll, Kellie A; Zhou, Xiaojuan; Bhanu, Natarajan V et al. (2018) Identification of binding sites contributing to volatile anesthetic effects on GABA type A receptors. FASEB J 32:4172-4189
Kasimova, Marina A; Yazici, Aysenur Torun; Yudin, Yevgen et al. (2018) A hypothetical molecular mechanism for TRPV1 activation that invokes rotation of an S6 asparagine. J Gen Physiol 150:1554-1566
Wang, Yali; Yang, Elaine; Wells, Marta M et al. (2018) Propofol inhibits the voltage-gated sodium channel NaChBac at multiple sites. J Gen Physiol 150:1317-1331
Bensel, Brandon M; Guzik-Lendrum, Stephanie; Masucci, Erin M et al. (2017) Common general anesthetic propofol impairs kinesin processivity. Proc Natl Acad Sci U S A 114:E4281-E4287
Okuno, Toshiaki; Koutsogiannaki, Sophia; Ohba, Mai et al. (2017) Intravenous anesthetic propofol binds to 5-lipoxygenase and attenuates leukotriene B4 production. FASEB J 31:1584-1594
Granata, Daniele; Ponzoni, Luca; Micheletti, Cristian et al. (2017) Patterns of coevolving amino acids unveil structural and dynamical domains. Proc Natl Acad Sci U S A 114:E10612-E10621
Carnevale, Vincenzo; Klein, Michael L (2017) Small molecule modulation of voltage gated sodium channels. Curr Opin Struct Biol 43:156-162

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