Key research themes
1. How can the standard genetic code be extended to incorporate non-canonical amino acids while maintaining robustness against mutations?
This research area investigates theoretical and practical frameworks for expanding the standard genetic code (SGC) beyond its canonical 64 codons to include non-canonical amino acids (ncAAs). The focus is on strategies that maximize the number of assignable codons, such as the use of unnatural base pairs, while ensuring resilience to errors like point mutations. Such extensions aim to create organisms with stable, heritable expanded proteomes for applications in medicine, biotechnology, and synthetic biology.
2. To what extent is the standard genetic code optimized to minimize errors from point mutations and frameshift mutations?
This theme addresses the optimality of the SGC from the perspective of error minimization, including point mutations and frameshift errors that affect protein integrity. It involves quantitative analyses of the error sensitivity of the genetic code to mutations and translation errors using computational simulations, multi-objective optimization, and evolutionary algorithms. The goal is to discern evolutionary pressures that shaped the SGC's redundancy and degeneracy, and to understand residual suboptimalities particularly related to frameshift robustness.
3. What conceptual and philosophical approaches inform our understanding of the genetic code’s nature, evolution, and informational complexity?
This theme explores theoretical and interpretative perspectives that transcend classical biochemical descriptions, including linguistic, informatic, and self-referential models of the genetic code. It considers the genetic code as a computational or quasi-linguistic system exhibiting semantic and syntactic properties, aims to unify matter with information processing, and promotes novel visions on genome organization and evolvability with implications for synthetic biology and genetic engineering.