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Cysteine-rich proteins cover many important families in nature but there are currently no methods specifically designed for modeling the structure of these proteins. The accuracy of disulfide connectivity pattern prediction, particularly for the proteins of higher-order connections, e.g., &gt;3 bonds, is too low to effectively assist structure assembly simulations.

Accurate disulfide-bonding network predictions improve ab initio structure prediction of cysteine-rich proteins