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Figure 4 | BMC Bioinformatics

Figure 4

From: Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable

Figure 4

Average energy difference between the ground state and the next lowest energy state for different values of designability N S for the hexagonal (a) and triangular (b) shapes. Although there is a strong visible trend towards a higher energy gap as the conformations become more designable, there are exceptions particularly for the most designable conformations (corresponding to the largest Ns), having in both cases average energy gaps below the maximum.

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