https://pages.htgaa.org/2026a/rahul-yaji/projects/group-final-project/week-5/index.htmlExecution of workflows: @2026a-rahul-yaji Created a Python Script- L-Protein Mutagenisis to create random mutations at two distinct, non-conserved location L-protein, subject to the constraint that there should be no loss of lysis function due to the mutation. The data of the L-Protein Mutants document was used to avoid loss-of-lysis (Hereafter known as LoL) mutatioins. Key assumptions: All the LoL mutations occur in the conserved areas 0 indicates LoL, and 1 indicates intact lysis function If assumption 1 is true, MSA becomes redundant and therefore irrelavant The generated mutant sequences were cofolded with host DnaJ chaperone protein to analyze interactions So far, no mutant was found to have significant iPTM score, or interaction with DnaJ. Generating random mutations in the Lysis protein while avoiding the loss of function or non sense codons.The Python script was generated solely by the Google Gemini 2.5 Flash, that is in-built in Google Colab. The prompt was:Hugoen