Supporting Online Material for Computational Design of Peptides That Target Transmembrane Helices

By H. Yin, J. Slusky, B. Berger, Robin S. Walters, G. Vilaire, R. Litvinov, J. D. Lear, Gregory A. Caputo, J. Bennett, William F. DeGrado. 2007

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Julia Koehler Leman
2. I. Korendovych
3. Jeffrey J. Gray
4. William F. DeGrado
5. Yuan Zhang
6. Yang Chen
7. Chun-chao Lo
8. Xiuwen Liu

Citations in the corpus

• ProDCoNN: Protein design using a convolutional neural network (2019, background): “9,10 There are several different sub-problems in CPD.”
• Computational modeling of membrane proteins (2014, background): “254 Sapay et al . engineered a chimera of the muscarinic acetylcholine receptor M2 and the Kir6.”
• Achievements and Challenges in Computational Protein Design. (2017, unknown): “In 2007 the DeGrado lab designed a TM peptide that specifically targets a membrane protein [61].”
• De novo protein design, a retrospective (2020, background): “Yin et al. achieved the computation design of peptides that specifically recognize the TM helices of two closely related integrins (αIIbβ3 and αVβ3) in micelles, bacterial membranes, and mammalian cells (Yin et al., 2007; Caputo et al., 2008).”