Computational Design of Helical Peptides Targeting TNFα

Find and bind: A computational strategy for designing single-helical peptides that can bind to a target protein was developed. After identification of potential helix-binding positions, sequences and binding conformations were derived theoretically, and explored by experimental screening. This method was successfully applied in designing peptide inhibitors for a therapeutic target, tumor necrosis factor-α (TNFα). As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.