Skip to main content

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.