Comparative analysis of coiled-coil prediction methods.

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Structural validation and assessment of AlphaFold2 predictions for centrosomal and centriolar proteins and their complexes (2022, methodology): “The secondary structure and coiled-coil regions were predicted using PsiPred 55 , Jpred 56 , and Marcoil 57 , Deepcoil 58 and Pcoils 59,60 .”
Computational prediction of secondary and supersecondary structures. (2013, methodology): “18 coiled coil predictors (60), the best-performing Marcoil has generated many false positives for highly charged fragments, while the runner-up PCOILS provided better predictions for these fragments.”
Multicoil2: Predicting Coiled Coils and Their Oligomerization States from Sequence in the Twilight Zone (2011, background): “, where H positions are predominantly hydrophobic and P positions are predominantly polar. The positions in the repeat are denoted by the letters a-g, with a and d hydrophobic. The repeating sequence motif makes the coiled-coil structure amenable to prediction, and several algorithms have been devel”
The MPI bioinformatics Toolkit as an integrative platform for advanced protein sequence and structure analysis (2016, methodology): “These highly accessed tools include both internal developments, such as CS-BLAST (6), HHblits (7) and PCOILS (8), and external tools, e.g. BLASTClust (9), Modeller (10) and MARCOIL (11) (Table 2).”