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| Ulrich Bodenhofer; Andreas Kothmeier; Ingrid G. Abfalter; Carsten C. Mahrenholz; Sepp Hochreiter. |
| Classifying biological sequences is one of the most important tasks in computational biology. In the last decade, support vector machines (SVMs) in combination with sequence kernels have emerged as a de-facto standard. These methods are theoretically well-founded, reliable, and provide high-accuracy solutions at low computational cost. However, obtaining a highly accurate classifier is rarely the end of the story in many practical situations. Instead, one often aims to acquire biological knowledge about the principles underlying a given classification task. SVMs with traditional sequence kernels do not offer a straightforward way of accessing this knowledge.

In this contribution, we propose a new approach to analyzing... |
| Tipo: Poster |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4708/version/1 |
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| Carsten C. Mahrenholz*; Ingrid G. Abfalter*; Ulrich Bodenhofer; Rudolf Volkmer; Sepp Hochreiter. |
| *Overview* | Coiled coils are usually described as consisting of two up to seven α-helices that are wrapped around each other. They can associate as either homomeric or heteromeric structures and bind in parallel or antiparallel topologies. Another characteristic of all coiled coils is the periodic recurrence of a sequence [abcdefg]n called heptad repeat, where n denotes the heptad number. In these repeats, a and d are hydrophobic amino acids at core positions crucial for the tertiary structure. In contrast, the polar positions b, c, and f are hydrophilic and e and g are charged residues.
Due to their ability to oligomerize, coiled coils are involved in a variety of important cellular functions, either on their own or as part of... |
| Tipo: Poster |
Palavras-chave: Chemistry; Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4677/version/1 |
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