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The COVID-19 pandemic has created an urgent need for effective therapeutic and diagnostic strategies to manage the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the emergence of numerous variants of concern (VOCs) has made it challenging to develop targeted therapies that are broadly specific in neutralizing the virus. In this study, we aimed to develop neutralizing nanobodies (Nbs) using computational techniques that can effectively neutralize the receptor-binding domain (RBD) of SARS-CoV-2 VOCs. We evaluated the performance of different protein-protein docking programs and identified HDOCK as the most suitable program for Nb/RBD docking with high accuracy. Using this approach, we designed 14 novel Nbs with high binding affinity to the VOC RBDs. The Nbs were engineered with mutated amino acids that interacted with key amino acids of the RBDs, resulting in higher binding affinity than human angiotensin-converting enzyme 2 (ACE2) and other viral RBDs or haemagglutinins (HAs). The successful development of these Nbs demonstrates the potential of molecular modeling as a low-cost and time-efficient method for engineering effective Nbs against SARS-CoV-2. The engineered Nbs have the potential to be employed in RBD-neutralizing assays, facilitating the identification of novel treatment, prevention, and diagnostic strategies against SARS-CoV-2.

Nanobodies (Nbs) hold great potential to replace conventional antibodies in various biomedical applications. However, conventional methods for their discovery can be time-consuming and expensive. We have developed a reliable protein selection strategy that combines magnetic activated cell sorting (MACS)-based screening of yeast surface display (YSD) libraries and functional ligand-binding identification by Tat-based recognition of associating proteins (FLI-TRAP) to isolate antigen-specific Nbs from synthetic libraries. This combined process enabled isolation of three unique Nb clones (NbT15, NbT21, and NbT22) that all bound specifically to a target antigen, namely proprotein convertase subtilisin/kexin type 9 (PCSK9) as well as a gain-of-function PCSK9 mutant (D374Y). All three clones bound to PCSK9 and blocked the interaction between the low-density lipoprotein receptor (LDLR) and either wild-type PCSK9 or the D374Y mutant. Overall, our combined protein selection method enables rapid and straightforward identification of potent antigen-specific Nbs in a manner that can be executed in a basic laboratory setting without the need for specialized equipment. We anticipate that our strategy will be a valuable addition to the protein engineering toolkit, allowing development of Nbs or virtually any other synthetic binding protein for a wide range of applications.

The urgent need for an effective COVID-19 therapy has propelled the exploration of innovative strategies to combat the fast-mutating SARS-CoV-2 virus. This study attempted to develop nanobodies (Nbs) against the SARS-CoV-2 Omicron variants by redirecting the 1.29 neutralizing Nb, a receptor-binding domain (RBD)-specific Nb that can protect against various SARS-CoV-2 variants other than Omicron, to target SARS-CoV-2 Omicron subvariant BA.5, the variant used for the development of the bivalent vaccine. Error-prone libraries of the 1.29 Nb were constructed. Following two rounds of selection using the functional ligand-binding identification by Tat-based recognition of associating proteins (FLI-TRAP) technique, we rapidly identified two Nbs, namely, C11 and K9, that could target the RBD of the Omicron subvariant BA.5, XBB.1.5, and XBB.1.16 subvariants. Molecular docking provided insights into how these Nbs interact with the RBD of the BA.5 and JN.1 variants. The application of directed evolution via utilization of error-prone PCR and the synthetic E. coli applied in the FLI-TRAP selection method may be a powerful tool for facilitating simple, fast and economical selection to redirect existing antibodies and to generate antibody fragments to target proteins susceptible to autonomous mutation, not only for viral infection but also other diseases, such as cancer.