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. 2022 Aug 3;122(18):14085–14179. doi: 10.1021/acs.chemrev.1c00757

Table 5. Computational Tools for Coiled-Coil Prediction and Design.

category name feature ref
Coiled-coil prediction COILS Statistically controlled predictor based on the primary sequence. (538, 690)
SOCKET Identification of KIH packing to differentiate coiled-coils structures. (700,701)
PairCoil Dimer prediction based on pairwise probabilities. (692, 698)
MultiCoil Coiled-coil domain and dimeric/trimeric state prediction. (694, 699)
CCHMM_PROF Hidden Markov Model based detection with evolutionary information. (702)
SCORER Oligomerization predictions based on databased established by SOCKET. (663, 693)
RFCoil Dimer/Trimer prediction through the random forest classification. (703)
LOGICOIL Tetramers and dimers topology prediction. (695)
CCFold Noncanonical model and repeats prediction. (704)
Waggawagga Web-based comparative visualization tool. (705)
DeepCoil Machine learning based algorithm to detects both canonical and noncanonical coiled-coil domains. (707)
Coiled-coil design CCCP Web interface for coiled-coil parameter fitting and backbone generation. (545)
CCBuilder Web-based application for generating coiled-coil models, built into an ISAMBARD software package with other tools including CCScanner, SOCKET, etc. (154, 710)
Rosetta General-purpose software that can be used to design coiled-coils. (180, 546, 661)