In Vitro Selection of Macrocyclic α/β3-Peptides against Human EGFR

A perspective on the application of macrocyclic design strategies in antitumor drugs

The macrocyclization of inhibitors has become gradually favored as a new approach for drug design in the field of anticancer agents, since the recent approvals of lorlatinib, pacritinib, and repotrectinib, and feasibility of macrocyclic modification to improve inhibitor drug-like properties has also been confirmed. Macrocycles are receiving increasing attention due to their enhanced binding affinity, target selectivity, and pharmacokinetic properties through conformational constraints. Therefore, this review summarizes various strategies for improving drug-like properties in macrocyclization and structural optimization, and reveals that macrocyclization is a new favorable strategy for drug design, aiming to provide insights for the drug discovery in different targets.

Reprogramming the genetic code with flexizymes

In the canonical genetic code, the 61 sense codons are assigned to the 20 proteinogenic amino acids. Advancements in genetic code manipulation techniques have enabled the ribosomal incorporation of nonproteinogenic amino acids (npAAs). The critical molecule for translating messenger RNA (mRNA) into peptide sequences is aminoacyl-transfer RNA (tRNA), which recognizes the mRNA codon through its anticodon. Because aminoacyl-tRNA synthetases (ARSs) are highly specific for their respective amino acid-tRNA pairs, it is not feasible to use natural ARSs to prepare npAA-tRNAs. However, flexizymes are adaptable aminoacylation ribozymes that can be used to prepare diverse aminoacyl-tRNAs at will using amino acids activated with suitable leaving groups. Regarding recognition elements, flexizymes require only an aromatic ring in either the leaving group or side chain of the activated amino acid, and the conserved 3'-end CCA of the tRNA. Therefore, flexizymes allow virtually any amino acid to be charged onto any tRNA. The flexizyme system can handle not only L-α-amino acids with side chain modifications but also various backbone-modified npAAs. This Review describes the development of flexizyme variants and discusses their structure and mechanism and their applications in genetic code reprogramming for the synthesis of unique peptides and proteins.

Ribosomal Incorporation of Lithocholic Acid into Peptides for the De Novo Discovery Of Peptide-Lithocholic Acid Hybrid Macrocyclic Peptides

Peptide-bile acid hybrids offer promising drug candidates due to enhanced pharmacological properties, such as improved protease resistance and oral bioavailability. However, it remains unknown whether bile acids can be incorporated into peptide chains by the ribosome to produce a peptide-bile acid hybrid macrocyclic peptide library for target-based de novo screening. In this study, we achieved the ribosomal incorporation of lithocholic acid (LCA)-d-tyrosine into peptide chains. This led to the construction of a peptide-LCA hybrid macrocyclic peptide library, which enabled the identification of peptides TP-2C-4L3 (targeting Trop2) and EP-2C-4L5 (targeting EphA2) with strong binding affinities. Notably, LCA was found to directly participate in binding to EphA2 and confer on the peptides improved stability and resistance to proteases. Cell staining experiments confirmed the high specificity of the peptides for targeting Trop2 and EphA2. This study highlights the benefits of LCA in peptides and paves the way for de novo discovery of stable peptide-LCA hybrid drugs.

In Vitro Selection of Macrocyclic l-α/d-α/β/γ-Hybrid Peptides Targeting IFN-γ/IFNGR1 Protein-Protein Interaction

Nonproteinogenic amino acids, including d-α-, β-, and γ-amino acids, present in bioactive peptides play pivotal roles in their biochemical activities and proteolytic stabilities. d-α-Amino acids (dαAA) are widely used building blocks that can enhance the proteolytic stability. Cyclic β2,3-amino acids (cβAA), for instance, can fold peptides into rigid secondary structures, improving the binding affinity and proteolytic stability. Cyclic γ2,4-amino acids (cγAA) are recently highlighted as rigid residues capable of preventing the proteolysis of flanking residues. Simultaneous incorporation of all dαAA, cβAA, and cγAA into a peptide is expected to yield l-α/d-α/β/γ-hybrid peptides with improved stability and potency. Despite challenges in the ribosomal incorporation of multiple nonproteinogenic amino acids, our engineered tRNAPro1E2 successfully reaches such a difficulty. Here, we report the ribosomal synthesis of macrocyclic l-α/d-α/β/γ-hybrid peptide libraries and their application to in vitro selection against interferon gamma receptor 1 (IFNGR1). One of the resulting l-α/d-α/β/γ-hybrid peptides, IB1, exhibited remarkable inhibitory activity against the IFN-γ/IFNGR1 protein-protein interaction (PPI) (IC50 = 12 nM), primarily attributed to the presence of a cβAA in the sequence. Additionally, cγAAs and dαAAs in the resulting peptides contributed to their serum stability. Furthermore, our peptides effectively inhibit IFN-γ/IFNGR1 PPI at the cellular level (best IC50 = 0.75 μM). Altogether, our platform expands the chemical space available for exploring peptides with high activity and stability, thereby enhancing their potential for drug discovery.

Fine-tuning the tRNA anticodon arm for multiple/consecutive incorporations of β-amino acids and analogs

Ribosomal incorporation of β-amino acids into nascent peptides is much less efficient than that of the canonical α-amino acids. To overcome this, we have engineered a tRNA chimera bearing T-stem of tRNAGlu and D-arm of tRNAPro1, referred to as tRNAPro1E2, which efficiently recruits EF-Tu and EF-P. Using tRNAPro1E2 indeed improved β-amino acid incorporation. However, multiple/consecutive incorporations of β-amino acids are still detrimentally poor. Here, we attempted fine-tuning of the anticodon arm of tRNAPro1E2 aiming at further enhancement of β-amino acid incorporation. By screening various mutations introduced into tRNAPro1E2, C31G39/C28G42 mutation showed an approximately 3-fold enhancement of two consecutive incorporation of β-homophenylglycine (βPhg) at CCG codons. The use of this tRNA made it possible for the first time to elongate up to ten consecutive βPhg's. Since the enhancement effect of anticodon arm mutations differs depending on the codon used for β-amino acid incorporation, we optimized anticodon arm sequences for five codons (CCG, CAU, CAG, ACU and UGG). Combination of the five optimal tRNAs for these codons made it possible to introduce five different kinds of β-amino acids and analogs simultaneously into model peptides, including a macrocyclic scaffold. This strategy would enable ribosomal synthesis of libraries of macrocyclic peptides containing multiple β-amino acids.

Engineering tRNAs for the Ribosomal Translation of Non-proteinogenic Monomers

Ribosome-dependent protein biosynthesis is an essential cellular process mediated by transfer RNAs (tRNAs). Generally, ribosomally synthesized proteins are limited to the 22 proteinogenic amino acids (pAAs: 20 l-α-amino acids present in the standard genetic code, selenocysteine, and pyrrolysine). However, engineering tRNAs for the ribosomal incorporation of non-proteinogenic monomers (npMs) as building blocks has led to the creation of unique polypeptides with broad applications in cellular biology, material science, spectroscopy, and pharmaceuticals. Ribosomal polymerization of these engineered polypeptides presents a variety of challenges for biochemists, as translation efficiency and fidelity is often insufficient when employing npMs. In this Review, we will focus on the methodologies for engineering tRNAs to overcome these issues and explore recent advances both in vitro and in vivo. These efforts include increasing orthogonality, recruiting essential translation factors, and creation of expanded genetic codes. After our review on the biochemical optimizations of tRNAs, we provide examples of their use in genetic code manipulation, with a focus on the in vitro discovery of bioactive macrocyclic peptides containing npMs. Finally, an analysis of the current state of tRNA engineering is presented, along with existing challenges and future perspectives for the field.