Directed-Evolution and Next Generation Sequencing data for short peptides selected to bind on Molybdenum Disulfide substrate

Specific Binding and subsequent self-assembly of short peptides on single-layer-atomic-materials, such as Molybdenum Disulfide, Graphene, etc., have enormous benefits in making biologically interfaced bioelectronic devices, biosensors, and theranostic tools with wide-ranging use cases. The current study is the first in literature that puts the techniques of directed evolution and next-generation sequencing in the context of solid binding peptides. With the huge dataset of ~2.5 million of 12-amino acid long peptides (and ~55 million 36-nucleotides long DNA sequences) obtained from M13 phage display and biopanning, the current study aims to develop Machine Learning methods to predictively design peptides that specifically bind to single layer solids such as Mos2 towards developing soft bio-nano interfaces.