Supramolecular materials derived from the self-assembly
of engineered
molecules continue to garner tremendous scientific and technological
interest. Recent innovations include the realization of nano- and
mesoscale particles (0D), rods and fibrils (1D), sheets (2D), and
even extended lattices (3D). Our research groups have focused attention
over the past 15 years on one particular class of supramolecular materials
derived from oligopeptides with embedded π-electron units, where
the oligopeptides can be viewed as substituents or side chains to
direct the assembly of the central π-electron cores. Upon assembly,
the π-systems are driven into close cofacial architectures that
facilitate a variety of energy migration processes within the nanomaterial
volume, including exciton transport, voltage transmission, and photoinduced
electron transfer. Like many practitioners of supramolecular materials
science, many of our initial molecular designs were designed with
substantial inspiration from biologically occurring self-assembly
coupled with input from chemical intuition and molecular modeling
and simulation. In this feature article, we summarize our current
understanding of the π-peptide self-assembly process as documented
through our body of publications in this area. We address fundamental
spectroscopic and computational tools used to extract information
regarding the internal structures and energetics of the π-peptide
assemblies, and we address the current state of the art in terms of
recent applications of data science tools in conjunction with high-throughput
computational screening and experimental assays to guide the efficient
traversal of the π-peptide molecular design space. The abstract
image details our integrated program of chemical synthesis, spectroscopic
and functional characterization, multiscale simulation, and machine
learning which has advanced the understanding and control of the assembly
of synthetic π-conjugated peptides into supramolecular nanostructures
with energy and biomedical applications.