5w9f Citations

Cytosolic expression, solution structures, and molecular dynamics simulation of genetically encodable disulfide-rich de novo designed peptides.

Abstract

Disulfide-rich peptides represent an important protein family with broad pharmacological potential. Recent advances in computational methods have made it possible to design new peptides which adopt a stable conformation de novo. Here, we describe a system to produce disulfide-rich de novo peptides using Escherichia coli as the expression host. The advantage of this system is that it enables production of uniformly 13 C- and 15 N-labeled peptides for solution nuclear magnetic resonance (NMR) studies. This expression system was used to isotopically label two previously reported de novo designed peptides, and to determine their solution structures using NMR. The ensemble of NMR structures calculated for both peptides agreed well with the design models, further confirming the accuracy of the design protocol. Collection of NMR data on the peptides under reducing conditions revealed a dependency on disulfide bonds to maintain stability. Furthermore, we performed long-time molecular dynamics (MD) simulations with tempering to assess the stability of two families of de novo designed peptides. Initial designs which exhibited a stable structure during simulations were more likely to adopt a stable structure in vitro, but attempts to utilize this method to redesign unstable peptides to fold into a stable state were unsuccessful. Further work is therefore needed to assess the utility of MD simulation techniques for de novo protein design.

Articles - 5w9f mentioned but not cited (1)

  1. Cytosolic expression, solution structures, and molecular dynamics simulation of genetically encodable disulfide-rich de novo designed peptides. Buchko GW, Pulavarti SVSRK, Ovchinnikov V, Shaw EA, Rettie SA, Myler PJ, Karplus M, Szyperski T, Baker D, Bahl CD. Protein Sci 27 1611-1623 (2018)


Reviews citing this publication (1)

  1. Toward complete rational control over protein structure and function through computational design. Adolf-Bryfogle J, Teets FD, Bahl CD. Curr Opin Struct Biol 66 170-177 (2021)

Articles citing this publication (7)

  1. De novo designed protein inhibitors of amyloid aggregation and seeding. Murray KA, Hu CJ, Griner SL, Pan H, Bowler JT, Abskharon R, Rosenberg GM, Cheng X, Seidler PM, Eisenberg DS. Proc Natl Acad Sci U S A 119 e2206240119 (2022)
  2. Antifungal symbiotic peptide NCR044 exhibits unique structure and multifaceted mechanisms of action that confer plant protection. Velivelli SLS, Czymmek KJ, Li H, Shaw JB, Buchko GW, Shah DM. Proc Natl Acad Sci U S A 117 16043-16054 (2020)
  3. In Silico Insights towards the Identification of NLRP3 Druggable Hot Spots. Mekni N, De Rosa M, Cipollina C, Gulotta MR, De Simone G, Lombino J, Padova A, Perricone U. Int J Mol Sci 20 E4974 (2019)
  4. Directed evolution identifies high-affinity cystine-knot peptide agonists and antagonists of Wnt/β-catenin signaling. Hansen S, Zhang Y, Hwang S, Nabhan A, Li W, Fuhrmann J, Kschonsak Y, Zhou L, Nile AH, Gao X, Piskol R, de Sousa E Melo F, de Sauvage FJ, Hannoush RN. Proc Natl Acad Sci U S A 119 e2207327119 (2022)
  5. Integration of the Rosetta suite with the python software stack via reproducible packaging and core programming interfaces for distributed simulation. Ford AS, Weitzner BD, Bahl CD. Protein Sci 29 43-51 (2020)
  6. Ex silico engineering of cystine-dense peptides yielding a potent bispecific T cell engager. Crook ZR, Girard EJ, Sevilla GP, Brusniak MY, Rupert PB, Friend DJ, Gewe MM, Clarke M, Lin I, Ruff R, Pakiam F, Phi TD, Bandaranayake A, Correnti CE, Mhyre AJ, Nairn NW, Strong RK, Olson JM. Sci Transl Med 14 eabn0402 (2022)
  7. Structural diversity in the Mycobacteria DUF3349 superfamily. Buchko GW, Abendroth J, Robinson JI, Phan IQ, Myler PJ, Edwards TE. Protein Sci 29 670-685 (2020)