Core Viewpoint - David Baker's team has developed a groundbreaking AI protein design model, RFdiffusion, which allows for the precise control of protein-protein interactions, potentially revolutionizing fields such as cancer treatment and immune regulation [2][3]. Group 1: Research Breakthroughs - The new design method enables precise timing of cytokine signaling, allowing for "remote control" of protein interactions with second-level accuracy [3]. - The research focuses on designing the "excited state" of proteins, which influences the kinetics of protein-protein interactions, rather than just their stable states [7]. - A special "hinge protein" was designed to change conformation in response to external signaling molecules, facilitating rapid dissociation of protein complexes [10]. Group 2: Performance Metrics - The new design method achieves up to a 5700-fold increase in dissociation rates, allowing protein complexes that previously took hours to dissociate to do so in seconds [12]. - Structural analysis confirmed that the designed proteins closely matched theoretical predictions, with a maximum deviation of only 1.3Å [12]. Group 3: Applications - The technology has potential applications in developing rapid biosensors, such as a SARS-CoV-2 sensor with a response time of just 30 seconds, which is 70 times faster than previous sensors [14]. - It can create dynamic control circuits at the protein level, enabling efficient signal transmission and amplification [15]. - The method allows for the rapid shutdown of highly active splitting enzyme systems, providing new tools for metabolic engineering [16]. Group 4: Immunology Insights - The research has significant implications for controlling the interleukin-2 (IL-2) signaling pathway, which is crucial for immune response, allowing for rapid on/off switching of IL-2 analogs [18]. - Different durations of IL-2 stimulation were found to have distinct biological effects, with short stimulation providing anti-apoptotic protection while prolonged stimulation activated metabolic changes and cell division [19][20]. Group 5: Paradigm Shift in Protein Design - This research represents a paradigm shift in protein design, moving from static structure design to dynamic kinetic control, with broad applicability across various protein interactions [22]. - The technology not only serves as a powerful tool for basic biological research but also opens new avenues for therapeutic applications, potentially leading to more precise and controllable biotherapies [22].
诺奖得主David Baker最新Nature论文:AI设计蛋白开关,实现对药物的快速精准调控
生物世界·2025-09-28 08:30