My group has been using the profile server in developing a very large multiple alignment of aldehyde dehydrogenases. The alignment now contains over 120 sequences, including some proteins of marginal catalytic function such as lens crystallins. Particularly in finding the most distantly related sequences the Profile server has been invaluable. We are also in the process of searching for examples from other families that might contain a similar NAD-binding site, by using truncated alignments to enhance the chances of finding such domains. (It is now known that ALDHs have non-traditional Rossmann folds). Otherwise, a side project involving an alignment of arginases also has made use of the Profile server. Both projects are manuscripts in preparation. What we did in that project was refute a hypothesis based on aligning single ADH and ALDH sequences with a protein of about the length of the 2 combined, all from Aspergillus. To eyes unfamiliar with the characteristics of ADHs and ALDHs, the hypothesis was not too unreasonable, but what previous au's failed to appreciate (since they never read any relevant literature!) was that none of their matching residues were among those typically conserved in those 2 families. What we did was run profiles of each family based on 16 ALDHs and about 100 ADHs, and run the profile against the big Aspergillus sequence. The result basically said no similarity, but that if the big protein did represent an ancestral fusion of the 2, they were fused in opposite order from the earlier proposal, thereby refuting the whole earlier hypothesis on a nice impartial, statistical basis!

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008605-07
Application #
6324804
Study Section
Project Start
2000-05-01
Project End
2001-04-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
7
Fiscal Year
2000
Total Cost
$72,713
Indirect Cost
Name
University of California San Diego
Department
Type
DUNS #
077758407
City
La Jolla
State
CA
Country
United States
Zip Code
92093
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Yang, Pei-Chi; Boras, Britton W; Jeng, Mao-Tsuen et al. (2016) A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation. PLoS Comput Biol 12:e1005005
Watson, Shana R; Liu, Piaomu; Peña, Edsel A et al. (2016) Comparison of Aortic Collagen Fiber Angle Distribution in Mouse Models of Atherosclerosis Using Second-Harmonic Generation (SHG) Microscopy. Microsc Microanal 22:55-62

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