Cath...

"Cath..." is a song by indie rock band Death Cab for Cutie, the second single from their sixth studio album, Narrow Stairs, released on July 21, 2008 in the United Kingdom as a 7" single.

The song did not earn placement on many worldwide charts or the main U.S. Billboard Hot 100 pop chart, but it managed to reach number ten on the U.S. Modern Rock Tracks chart.

Music video

The music video of the song was directed by Autumn de Wilde. The video reflects the song's lyrics, and the story they tell: A woman named "Cath" (portrayed by Beth Riesgraf) is about to be wed to a "well-intentioned man," yet she does not love him, and is still infatuated with a former love (portrayed by Lukas Haas) who watches the ceremony. The video was inspired by Emily Brontë's famous novel Wuthering Heights, reflecting Catherine Earnshaw and her torment over marrying Edgar Linton (the "well-intentioned man") when she loves Heathcliff. The band are occasionally show seen sitting in what seems to be a dressing room with a grassy floor, mouthing the lyrics to song.

Cath

Cath may refer to:

See also

CATH database

The CATH Protein Structure Classification is a semi-automatic, hierarchical classification of protein domains published in 1997 by Christine Orengo, Janet Thornton and their colleagues. CATH shares many broad features with its principal rival, SCOP, however there are also many areas in which the detailed classification differs greatly.

Hierarchy

The name CATH is an acronym of the four main levels in the classification.

CATH defines four classes: mostly-alpha, mostly-beta, alpha and beta, few secondary structures.

In order to better understand the CATH classification system it is useful to know how it is constructed: much of the work is done by automatic methods, however there are important manual elements to the classification.

The very first step is to separate the proteins into domains. It is difficult to produce an unequivocal definition of a domain and this is one area in which CATH and SCOP differ.

The domains are automatically sorted into classes and clustered on the basis of sequence similarities. These groups form the H levels of the classification. The topology level is formed by structural comparisons of the homologous groups. Finally, the Architecture level is assigned manually.