病毒学
人类免疫缺陷病毒(HIV)
抗体
中和抗体
计算生物学
生物
艾滋病疫苗
遗传学
病毒
疫苗试验
作者
Rory Henderson,Kara Anasti,Kartik Manne,Victoria Stalls,Carrie Saunders,Yishak Bililign,Ashliegh Williams,Pimthada Bubphamala,Maya Montani,Sangita Kachhap,Jingjing Li,Chuancang Jaing,Amanda Newman,Derek W. Cain,Xiaozhi Lu,Sravani Venkatayogi,Madison Berry,Kshitij Wagh,Bette Korber,Kevin O. Saunders
标识
DOI:10.1038/s41467-024-53120-9
摘要
Vaccine development targeting rapidly evolving pathogens such as HIV-1 requires induction of broadly neutralizing antibodies (bnAbs) with conserved paratopes and mutations, and in some cases, the same Ig-heavy chains. The current trial-and-error search for immunogen modifications that improve selection for specific bnAb mutations is imprecise. Here, to precisely engineer bnAb boosting immunogens, we use molecular dynamics simulations to examine encounter states that form when antibodies collide with the HIV-1 Envelope (Env). By mapping how bnAbs use encounter states to find their bound states, we identify Env mutations predicted to select for specific antibody mutations in two HIV-1 bnAb B cell lineages. The Env mutations encode antibody affinity gains and select for desired antibody mutations in vivo. These results demonstrate proof-of-concept that Env immunogens can be designed to directly select for specific antibody mutations at residue-level precision by vaccination, thus demonstrating the feasibility of sequential bnAb-inducing HIV-1 vaccine design. In this work, researchers engineer HIV-1 immunogens using molecular dynamics simulations to enhance vaccine designs that select for specific antibody mutations. Their approach improved the selection of mutations crucial for broadly neutralizing antibody responses, offering a promising strategy for HIV vaccine development.
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