
Lightweight AI Tool AMPLiT Unearths Potent Antimicrobial Peptides from Millennia-Old Coprolites
Today, we share important research, soon to be published in Nature Communications, titled "Identification of antimicrobial peptides from ancient gut microbiomes." This study, by developing a lightweight artificial intelligence tool named AMPLiT, systematically analyzed metagenomic data from seven ancient human fecal fossils (coprolites) dating back 1000-2000 years. It successfully uncovered 160 potential antimicrobial peptide (AMP) candidates. Experimental validation showed that among the 40 peptides successfully synthesized, 36 (90%) exhibited significant antibacterial activity in vitro. Remarkably, approximately two-thirds of the active antimicrobial peptides originated from Segatella copri(formerly Prevotella copri), a dominant symbiotic bacterium in ancient guts whose prevalence has significantly declined in modern populations. These AMPs from ancient microbiomes not only possess membrane-disrupting mechanisms, low cytotoxicity, and low hemolysis risk but also demonstrated efficacy comparable to traditional antibiotics (vancomycin, polymyxin B) in a mouse wound infection model. This work reveals the immense potential of ancient gut microbiomes as a treasure trove for novel antimicrobial peptides, offering a new solution to combat the antibiotic resistance crisis.

Controlled Cyclization Meets Ribosomal Synthesis: The Birth of a New-Generation Bicyclic Peptide Platform
Today, we share important research from the team of Professor Hiroaki Suga at the University of Tokyo, published in Angewandte Chemie International Edition, titled "Ribosomal Synthesis of Topologically Defined Thioisoindole-Bridged Bicyclic Peptides." This study developed a novel synthetic strategy for bicyclic peptides based on thioisoindole bridging. By designing a semicarbazone-protected 2-nicotinoylbenzaldehyde amino acid (Ac-Ala(NtBA)Sc-CME) as a translation initiator, it was efficiently incorporated into peptide chains using a flexible in vitrotranslation (FIT) system. Subsequently, a mild acid treatment triggered an intramolecular bicyclization reaction, successfully constructing structurally precise bicyclic peptides. This method is fully compatible with mRNA display technology, providing a powerful platform for building large-scale, topologically defined bicyclic peptide libraries for drug discovery.

Breaking the Bottleneck of Cysteine Selective Modification: Triazine-Pyridine Chemistry Enables Precision Protein Coupling
Today we share significant research findings published in Science Advancesby a Chinese scientific team. The study reports a novel cysteine (Cys)-selective bioconjugation technology based on a modular 1,3,5-triazine scaffold—Triazine-Pyridinium Chemistry (TPC). This work addresses the critical need for Cys-selective reagents with higher stability in therapeutic applications such as antibody-drug conjugates (ADCs). Through systematic structural modifications and computational studies, the team optimized a reagent capable of achieving near-quantitative labeling of Cys (>95% yield) under physiological conditions (pH 7.4), while effectively suppressing reactivity towards tyrosine (Tyr), overcoming the limitations of early TPC probes. The study demonstrated its good compatibility with various peptides and proteins, including the therapeutic antibody trastuzumab, and showcased its potential in constructing ADCs. The optimized labeling method ensures excellent stability of the conjugates in biological environments, highlighting the practical application value of this approach.

Additive-Free Peptide Synthesis Using Pentafluorophenyl Esters as the Sequence Oligopeptide Synthesis via a Flow Reaction
Today, we share an important research article published in Organic Process Research & Developmentby the team of Tomohiro Hattori and Hisashi Yamamoto from the Peptide Science Center at Chubu University, Japan. Addressing long-standing challenges in traditional peptide synthesis such as excessive additive use, byproduct generation, and process complexity, this study developed a novel flow chemistry synthesis strategy based on pentafluorophenyl (Pfp) esters. The core of this method lies in leveraging the high reactivity and stability of Pfp esters to achieve efficient, rapid condensation with stoichiometric amino acid esters—including the highly challenging N-methyl amino acid esters—without requiring any additives. The research further established a continuous flow system integrated with a DBU polymer for online deprotection, successfully accomplishing the sequential assembly from dipeptides to pentapeptides (including bioactive sequences like Leu-enkephalin and thymopentin). The products were obtained with high purity, and the system enabled automated, long-duration synthesis on a gram scale. This work provides a brand-new solution for developing green, efficient, and scalable manufacturing processes for peptide pharmaceuticals.

Hydrophobic Tag-Assisted Liquid-Phase Synthesis of Tirzepatide
Today, we share an important research article from the team led by Lin Dong, published in Organic Letters. This work addresses the bottlenecks of high cost and cumbersome procedures in solid-phase peptide synthesis (SPPS) for the peptide drug Tirzepatide (a novel dual-target agonist for treating type 2 diabetes and obesity) by developing a novel hydrophobic tag-assisted liquid-phase peptide synthesis (LPPS) strategy. This method introduces soluble hydrophobic tags (TAGa and TAGb), leveraging their unique solubility properties to achieve efficient separation, significantly reducing amino acid and solvent waste. It also employs a dual-protection (Cbz/Fmoc) strategy on lysine to precisely control side-chain assembly, ultimately successfully synthesizing the 39-amino-acid Tirzepatide with high yield. This work provides a new approach for the green and economical large-scale production of complex peptide drugs.

“Thiol-Ene Photoclick Chemistry for Efficient Bicyclic Peptide Synthesis and Genetically Encoded Peptide Library”
Today, we share with you important research from the team led by Xinxiang Lei of Lanzhou University, published in Angewandte Chemie International Edition. This work marks the first application of thiol-ene photoclick chemistry to the efficient bicyclization of unprotected peptides, developing a rapid, highly selective, and highly biocompatible new method. The researchers ingeniously utilized the inexpensive and readily available tri-alkene crosslinker TAIC. Under visible light activation, cyclization is completed in just 6 minutes. They successfully integrated this with phage display technology to construct a genetically encoded bicyclic peptide library, screening for novel ligands with ultra-high sub-micromolar affinity for the important drug target cyclophilin A. This study provides a powerful and versatile new platform for the discovery of constrained peptide drugs.

“A Picolyl-Based Cys Caging/Uncaging Strategy Facilitates Protein Synthesis”
Today, we share with you important research led by Professor Ping Wang's team at Shanghai Jiao Tong University, published in Angewandte Chemie International Edition. This study addresses the core challenge of selective protection and deprotection of cysteine (Cys) in protein chemical synthesis, developing a novel picolyl (Pic)-based caging/uncaging strategy. Through simple pH and wavelength control, this work achieves efficient, orthogonal protection of Cys residues. It has been successfully applied to the synthesis of complex proteins such as Interleukin-4 (IL-4) and Tumor Necrosis Factor-α (TNF-α), providing an innovative tool for precise protein modification and synthesis.

“Dual Self-Promoted Ring-Opening Polymerization towards Cationic Polypeptoids with Stable Helices”
Today, we share significant research led by Zhengbiao Zhang's team, published in Angewandte Chemie International Edition. This study successfully synthesized cationic polypeptoid mimics bearing bulky chiral side chains via an innovative dual self-promoted ring-opening polymerization strategy. Contrary to conventional understanding, these cationic polypeptoids not only did not disrupt the helical structure but instead formed exceptionally stable, polyproline type I-like helices. This work challenges the traditional paradigm that "cationic side chains inevitably destabilize helices" and opens new avenues for designing advanced functional polymers combining low toxicity and high cellular uptake efficiency.

"Accurate de novo design of high-affinity protein-binding macrocycles using deep learning"
Today, we share a research article led by the teams of David Baker and Gaurav Bhardwaj, published in Nature Chemical Biology. This study developed RFpeptides, a denoising diffusion-based generative AI pipeline that enables the de novodesign of macrocyclic peptides by integrating the RoseTTAFold2 (RF2) structure prediction network and the RFdiffusion protein backbone generation framework. This work achieves, for the first time, the precise design of high-affinity macrocyclic peptide binders targeting multiple protein targets, validated by X-ray crystallography showing high agreement between the designed and experimental structures (Cα RMSD < 1.5 Å). It provides a scalable and efficient platform for the rational design of macrocyclic peptides.


