Identification and functional analysis of thylakoid membrane proteome

2003 ◽  
Author(s):  
Yingchun Wang
2004 ◽  
Vol 279 (47) ◽  
pp. 49367-49383 ◽  
Author(s):  
Jean-Benoit Peltier ◽  
A. Jimmy Ytterberg ◽  
Qi Sun ◽  
Klaas J. van Wijk

2009 ◽  
Vol 72 (3) ◽  
pp. 397-415 ◽  
Author(s):  
Arthur Laganowsky ◽  
Stephen M. Gómez ◽  
Julian P. Whitelegge ◽  
John N. Nishio

2004 ◽  
Vol 16 (2) ◽  
pp. 478-499 ◽  
Author(s):  
Giulia Friso ◽  
Lisa Giacomelli ◽  
A. Jimmy Ytterberg ◽  
Jean-Benoit Peltier ◽  
Andrea Rudella ◽  
...  

2010 ◽  
Vol 73 (5) ◽  
pp. 976-991 ◽  
Author(s):  
Rachna Agarwal ◽  
Andrea Matros ◽  
Michael Melzer ◽  
Hans-Peter Mock ◽  
Jayashree Krishna Sainis

2007 ◽  
Vol 1768 (9) ◽  
pp. 2271-2279 ◽  
Author(s):  
Konstantinos Kantzilakis ◽  
Michalis Aivaliotis ◽  
Christos Kotakis ◽  
Fanourios Krasanakis ◽  
Apostolos K. Rizos ◽  
...  

2003 ◽  
Vol 19 (3) ◽  
pp. 164-174 ◽  
Author(s):  
Stephen N. Haynes ◽  
Andrew E. Williams

Summary: We review the rationale for behavioral clinical case formulations and emphasize the role of the functional analysis in the design of individualized treatments. Standardized treatments may not be optimally effective for clients who have multiple behavior problems. These problems can affect each other in complex ways and each behavior problem can be influenced by multiple, interacting causal variables. The mechanisms of action of standardized treatments may not always address the most important causal variables for a client's behavior problems. The functional analysis integrates judgments about the client's behavior problems, important causal variables, and functional relations among variables. The functional analysis aids treatment decisions by helping the clinician estimate the relative magnitude of effect of each causal variable on the client's behavior problems, so that the most effective treatments can be selected. The parameters of, and issues associated with, a functional analysis and Functional Analytic Clinical Case Models (FACCM) are illustrated with a clinical case. The task of selecting the best treatment for a client is complicated because treatments differ in their level of specificity and have unequally weighted mechanisms of action. Further, a treatment's mechanism of action is often unknown.


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