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Our method correctly predicts 73.3% of the 15 newly-published epitopes in the last 4 months of 2005.
It is shown in a detailed analysis, that the new method correctly predicts first and second-order moments on the basis of conventional modeling approaches.
Even if this method correctly predicts the number of droplets that remains empty during the experiments, it was not possible to predict correctly the number of crystals per drop obtained experimentally.
We show that as a consequence of the hypothesis of minimum entropy loss routes, while minimizing energy, the method correctly predicts the sequence of events during folding.
CUSP method correctly predicts 1485 SCRs with 89.6% sensitivity (Supplementary Material 6).
Our method correctly predicts the known growth phenotypes on 16 different substrates.
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In particular, the proposed method correctly predicted failures in the medium-cycle fatigue regime, allowing the high-cycle fatigue estimations to fall within an error interval of about ±20%.
Interestingly, the concept profiling method correctly predicted the interaction between myosin light chain 1 (MYL1) and CAPN3 on the basis of conceptual overlap in MEDLINE abstracts (specificity >99%), although this interaction was only described in a full text paper [23] and not in any MEDLINE abstract used to generate the concept profiles.
Our method correctly predicted 117 out of 144 RNA-binding proteins and 104 out of 144 nonbinding proteins.
The percentage of instances for which each period estimation method correctly predicted the period-10 behaviour was then recorded.
Table 1 gives an overview of the accuracy of EpiSearch method and shows that the method correctly predicted the location of conformational epitopes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com