In Silico characterization of single-chain variable fragment antibodies targeting Foot-and-Mouth disease virus

Foot-and-mouth disease virus (FMDV) poses a serious threat to livestock, causing significant economic losses in the global agricultural industry. In silico analysis offers a powerful approach to complement experimental techniques by aiding the design and optimization of targeted immunodiagnostics and therapeutics. This study utilizes computational tools to analyze single-chain variable fragments (scFvs) to gain a deeper understanding of these molecules. Sequence data were retrieved from NCBI GenBank and analyzed using BioEdit software, the Expasy translate tool, NCBI BLASTP, and abYsis online tools. The percentage similarity calculations revealed that scFvs targeting the VP1 and VP2 regions showed similarities from 58.71% to 72.45%, while scFvs specific to the VP2 region alone showed similarities from 60.97% to 83.76%.