Zizhang Sheng
Papers
1
Total Citations
37
H-Index
1
About
Dr. Zizhang Sheng is a leading computational immunologist whose research focuses on understanding B-cell immunity and developing bioinformatics technologies to combat HIV-1. His seminal work, "Antibodyomics: bioinformatics technologies for understanding B‑cell immunity to HIV‑1" (2017, 37 citations), established a foundational framework for analyzing the vast repertoire of antibodies generated during HIV-1 infection. Dr. Sheng’s major contributions lie in deciphering how broadly neutralizing antibodies (bnAbs) evolve in infected donors—antibodies capable of neutralizing diverse HIV-1 strains. By leveraging high-throughput sequencing and computational modeling, his research has illuminated the genetic and structural pathways that lead to bnAb development, providing critical insights for designing a B cell-mediated HIV-1 vaccine. His work addresses a central challenge in vaccinology: understanding why current vaccines fail to elicit protective antibody responses and how to overcome these barriers. Dr. Sheng’s innovative “antibodyomics” approach has become a cornerstone for researchers studying adaptive immunity, with his methods widely adopted to map immune responses in infectious disease and beyond. His achievements continue to shape the future of rational vaccine design, making him a pivotal figure in the fight against HIV.
Research Focus
Key Achievements
Top Papers
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