2024-09-04
Energetically favorable local interactions can overcome the entropic cost of chain ordering and cause otherwise flexible polymers to adopt regularly repeating backbone conformations. A prominent example is the α helix present in many protein structures, which is stabilized by i, i + 4 hydrogen bonds between backbone peptide units. With the increased chemical diversity offered by unnatural amino acids and backbones, it has been possible to identify regularly repeating structures not present in proteins, but to date, there has been no systematic approach for identifying new polymers likely to have such structures despite their considerable potential for molecular engineering. Here we describe a systematic approach to search through dipeptide combinations of 130 chemically diverse amino acids to identify those predicted to populate unique low-energy states. We characterize ten newly identified dipeptide repeating structures using circular dichroism spectroscopy and comparison with calculated spectra. NMR and X-ray crystallographic structures of two of these dipeptide-repeat polymers are similar to the computational models. Our approach is readily generalizable to identify low-energy repeating structures for a wide variety of polymers, and our ordered dipeptide repeats provide new building blocks for molecular engineering.
Article
Versió publicada
Anglès
12 p.
ACS Publications
Audacious Project at the Institute for Protein Design (A.P.M., A.K., A.K.B., and D.B.) and NIH NIGMS grant R35-GM141818 (T.R., G.T.M.).
National Institute of General Medical Sciences from the National Institutes of Health (P30 GM124165)
DOE Office of Science by Argonne National Laboratory under Contract no. DE-AC02-06CH11357
NIH 1S10OD030482 (to G.T.M.) and NSF DBI-1726397 (to Oklahoma State University)
European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801474 (to M.C.), the State Research Agency/Spanish Ministry of Science and Innovation (AEI/MICINN) through the Severo Ochoa Excellence Accreditation CEX2019-000925 S (to M.C. and E.R.)
European Research Council ERC Grant Agreement no. 805524, BioInspired_SolarH2 (E.R. and M.C.)
State Research Agency (AEI/10.13039/501100011033) through grants CEX 2021-001202 M and PID2020-115812GB-I00 (C.C.).
Spanish Supercomputing Network grant QH-2022-1-0010
he supercomputer FinisTerrae III and its permanent data storage system have been funded by the Spanish Ministry of Science and Innovation, the Galician Government and the European Regional Development Fund (ERDF).
CC-BY-NC-ND 4.0
Papers [1286]