Mimicking the designs found in proteins: Natural proteins combine a range of useful features, including chemical diversity, the ability to rapidly switch between preprogrammed shapes, and a hierarchy of structures. Panganiban et al. designed random copolymers with polar and nonpolar groups, using many of the features found in proteins (see the Perspective by Alexander-Katz and Van Lehn). Their structures could serve as “broad spectrum” surfactants, able to promote the solubilization of proteins in organic solvents and help preserve the functionality of proteins in aqueous environments. Science , this issue p. 1239 ; see also p. 1216

Biological fluids, the most complex blends, have compositions that constantly vary and cannot be molecularly defined¹. Despite these uncertainties, proteins fluctuate, fold, function and evolve as programmed^2–4. We propose that in addition to the known monomeric sequence requirements, protein sequences encode multi-pair interactions at the segmental level to navigate random encounters^5,6; synthetic heteropolymers capable of emulating such interactions can replicate how proteins behave in biological fluids individually and collectively. Here, we extracted the chemical characteristics and sequential arrangement along a protein chain at the segmental level from natural protein libraries and used the information to design heteropolymer ensembles as mixtures of disordered, partially folded and folded proteins. For each heteropolymer ensemble, the level of segmental similarity to that of natural proteins determines its ability to replicate many functions of biological fluids including assisting protein folding during translation, preserving the viability of fetal bovine serum without refrigeration, enhancing the thermal stability of proteins and behaving like synthetic cytosol under biologically relevant conditions. Molecular studies further translated protein sequence information at the segmental level into intermolecular interactions with a defined range, degree of diversity and temporal and spatial availability. This framework provides valuable guiding principles to synthetically realize protein properties, engineer bio/abiotic hybrid materials and, ultimately, realize matter-to-life transformations.