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Table 3 Summary of basic features that are considered.

From: Learning biophysically-motivated parameters for alpha helix prediction

Features considered by predictor

Name

Number of features

Description

A

1

Penalty for very short coil

B

1

Penalty for short coil

H R

20

Energy of residue R in a helix

C R i MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGdbWqdaqhaaWcbaGaemOuaifabaGaemyAaKgaaaaa@3070@

140

Energy of residue R at position i relative to C-cap

N R i MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGobGtdaqhaaWcbaGaemOuaifabaGaemyAaKgaaaaa@3086@

140

Energy of residue R at position i relative to N-cap

Total

302

 
  1. Each of these features corresponds to a parameter that is learned by our algorithm.
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BMC Bioinformatics

ISSN: 1471-2105

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