Volume 52, Issue 42 pp. 11059-11062
Communication

Computational Design of Helical Peptides Targeting TNFα

Dr. Changsheng Zhang

Dr. Changsheng Zhang

BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, and Peking-Tsinghua Center for Life Sciences at College of Chemistry and Molecular Engineering, Peking University, Beijing 100871 (China)

These authors contributed equally to this work.

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Qi Shen

Qi Shen

Center for Quantitative Biology, Peking University (China)

These authors contributed equally to this work.

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Bo Tang

Bo Tang

Center for Quantitative Biology, Peking University (China)

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Prof. Luhua Lai

Corresponding Author

Prof. Luhua Lai

BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, and Peking-Tsinghua Center for Life Sciences at College of Chemistry and Molecular Engineering, Peking University, Beijing 100871 (China)

Center for Quantitative Biology, Peking University (China)

BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, and Peking-Tsinghua Center for Life Sciences at College of Chemistry and Molecular Engineering, Peking University, Beijing 100871 (China)Search for more papers by this author
First published: 26 August 2013
Citations: 15

This work was supported in part by the Ministry of Science and Technology of China (2009CB918500) and the National Natural Science Foundation of China (11021463, 90913021). TNFα=tumor necrosis factor-α.

Graphical Abstract

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).

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