Talia McKay

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In the current study, latent growth modeling (LGM) was used to: (1) identify the developmental trajectories of infant negative emotions (NE) and regulatory capacity (RC) from 4 to 12 months of age, (2) examine maternal and family factors that may affect NE and RC trajectories, (3) examine transactional associations between developing NE and RC, and (4)(More)
The accumulation of protein structural data occurs more rapidly than it can be characterized by traditional laboratory means. This has motivated widespread efforts to predict enzyme function computationally. The most useful/accurate strategies employed to date are based on the detection of motifs in novel structures that correspond to a specific function.(More)
Working with a combination of ProMOL (a plugin for PyMOL that searches a library of enzymatic motifs for local structural homologs), BLAST and Pfam (servers that identify global sequence homologs), and Dali (a server that identifies global structural homologs), we have begun the process of assigning functional annotations to the approximately 3,500(More)
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