Kenan A. J. Bozhüyük

TopFor automates the generation of AMBER-compatible parameters for noncanonical amino acids in peptides, enabling efficient MD simulations and integration into peptide discovery workflows.

The paper identifies compact, data-driven codes for adenylation domain substrate specificity in NRPSs, outperforming traditional codes and revealing new positions critical for specificity.

This paper uses generative AI to design functional thiolation domains for reprogramming NRPSs, improving product formation and stability.

This paper introduces split inteins to enable modular NRPS engineering, generating 324 hybrid NRPS and over 200 novel peptides through combinatorial transformation.

ABC-HuMi catalogs 19,218 biosynthetic gene clusters from the human microbiome, offering a comprehensive resource for exploring bioactive compound potential.

This paper introduces guidelines for optimizing type S non-ribosomal peptide synthetases to improve production yields of artificial non-ribosomal peptides.

The paper describes an evolution-inspired method to engineer NRPS by identifying a recombination breakpoint and using it to assemble NRPS fragments for producing a proteasome inhibitor.

The paper introduces synthetic zippers to split and recombine NRPS fragments, enabling the production of novel non-ribosomal peptides at high titres.

This paper describes a method to modify and design non-ribosomal peptide synthetases (NRPSs) using a new fusion point in condensation domains to produce peptides, including non-natural amino acids, at high yields.