News Information
Focusing on cutting-edge technology and conveying industry voices
The disconnect between computational modeling and experimental performance has long been a core challenge in the field of protein engineering that urgently requires breakthroughs. In this study, we introduce ORI (Ontology Reinforcement Iteration), a scalable, general-purpose computational framework for functional protein engineering. This framework seamlessly integrates ontology‑condition decoding with reinforcement learning informed by wet‑lab feedback (RLWF), thereby establishing a fully closed‑loop iterative optimization pipeline.
2026/03/25
From March 31 to April 1, 2026, the Fifth China Synthetic Biology and Biomanufacturing Conference will be held at the Hangzhou Heda DoubleTree by Hilton Hotel. This conference will feature Dr. Cui Jinhui, CEO of Suzhou Perotin Biotechnology Co., Ltd., who will deliver a keynote presentation titled “A Cell-Free Protein Expression Platform: Empowering Efficient Front-End R&D in Biomanufacturing Processes.” As a leading company in cell-free protein expression technology, Perotin Biotechnology will also exhibit at the Fifth China Synthetic Biology and Biomanufacturing Conference (Booth No. A10). We warmly invite both new and existing customers to visit our booth.
2026/03/19
In the fields of metabolic engineering and synthetic biology, research efficiency has long been constrained by a persistent challenge: while design capabilities continue to improve, the pace of experimental validation consistently lags behind. With advances in computational design, automation, and AI technologies, researchers can now generate vast numbers of enzyme‑mutant and metabolic‑pathway design options in a short time. However, how to rapidly screen and validate these designs remains a critical bottleneck that limits progress in R&D.
2026/03/18
In recent years, the influence of machine learning (ML) in the field of protein science has expanded rapidly. From the structural‑prediction revolution sparked by AlphaFold to various sequence‑generation models used for protein design, algorithms are exploring the protein sequence space at an unprecedented pace. However, a persistent challenge remains: while algorithms can “generate hypotheses,” the quality and functionality of proteins still require validation through experimental data. Particularly in enzyme engineering and functional protein optimization, ML models place increasingly stringent demands on training datasets—requiring not only large volumes but also accurate representations of functional diversity. Traditional workflows that rely on cellular expression, purification, and kinetic characterization are often time‑consuming and limited in throughput, frequently becoming bottlenecks in the iterative cycle of ML development. Against this backdrop, a study published by Thornton et al. in ACS Synthetic Biology offers a highly representative approach to addressing these challenges:
2026/03/06
Unnatural amino acids (UAAs) technology expands the genetic code, enabling researchers to incorporate chemically distinct functional groups into proteins—groups that do not occur in nature—thereby offering unprecedented opportunities for protein labeling, structural analysis, modulation of catalytic activity, and the design of novel materials [1]. As the UAA toolbox continues to grow, this approach is emerging as a pivotal technological platform in structural biology, protein engineering, and biopharmaceutical development.
2026/02/02
As the 11th E‑Trade Bio Industry Exhibition (BIOCHINA 2026) draws near, the event has officially announced the highly anticipated list of “Popular Products & Services.” Among numerous entries, Perotin Bio stood out and was proudly selected.
2026/01/19
免费试用 | 从靶点到药物：珀罗汀全长4次跨膜Claudin-6蛋白，成实体瘤靶向研发“关键利器”
Claudin‑6 is a member of the tight junction protein family, containing four transmembrane domains. It plays an important role during embryonic development and is expressed in fetal tissues such as the stomach, pancreas, lung, and kidney. It is one of the earliest epithelial fate‑determining proteins to be expressed in embryonic stem (ES) cells and serves as a cell‑surface–specific marker for human pluripotent stem cells (HPSCs).
2025/12/24
Recently, the team led by Chen Shi and Wang Lianrong published in Molecular Cell a groundbreaking study titled “The Ppl protein senses 3′-hydroxyl DNA overhangs and NTP depletion to halt phage infection” (DOI: 10.1016/j.molcel.2025.11.011), with an impact factor of 16.6. The research unveils a novel mechanism by which bacteria rely on a single protein to simultaneously monitor two critical signals—3′‑hydroxyl DNA overhangs and NTP depletion—and rapidly activate defense responses during bacteriophage infection, thereby providing a new theoretical foundation for understanding bacterial strategies against phage attacks.
2025/12/17
Contact Information
Service Hotline: +86-512-67900128
Customer Service: order@sz-pld.tech
Business Cooperation: bd@sz-pld.tech
Address: Room 302, Building 1, Weili Medical Science and Technology Park, No. 69 Jiepu Road, Suzhou Industrial Park
