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Figure 7 | Algorithms for Molecular Biology

Figure 7

From: Efficient unfolding pattern recognition in single molecule force spectroscopy data

Figure 7

We describe an entire SMFS curve as a sequence of fragment types: A is a local maximum, B is a local minimum, and C is a cliff. Unfolding events in SMFS curves are categorised in three types: I. Main peak, where two bR helices unfold together. II. Main peak preceded by a side peak, where the helices unfold stepwise, one after another. III. Main peak followed by a side peak, where one helix unfolds gradually, and then another helix in an all-or-none manner. The events are matched to one another between the curves to detect corresponding unfolding. On the unfolding events one can fit the Worm-Like Chain model (WLC) for polymer stretching. In turn, one can compute the delta-distances (in amino acids) between the WLCs and view histograms of delta-distances.

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