Yingjie Peng

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About

Yingjie Peng is a leading researcher at the intersection of computational biology and antibody engineering, with a primary focus on developing innovative methods for the in vitro selection and maturation of therapeutic antibodies. His most notable contribution is the pioneering work on "Robotic QM/MM-driven maturation of antibody combining sites," which integrates quantum mechanics/molecular mechanics (QM/MM) simulations with robotic automation to enhance the affinity and specificity of antibody combining sites. This approach addresses a critical bottleneck in antibody development: the need for rapid, rational maturation of selected antibodies to function as effective in vivo scavengers for toxins. With over 21 citations on this landmark paper, Peng's work has provided a powerful, high-throughput platform that bridges computational design and experimental validation. His research is particularly impactful for generating high-affinity antibodies from large combinatorial libraries, offering a scalable solution for therapeutic discovery. By combining advanced computational chemistry with robotic precision, Peng has established a new paradigm for antibody engineering, making his work essential reading for students and researchers in computational biophysics, protein design, and immunoengineering.