Introduction:
Based on preliminary experiments, Cecropin B didn't provide substantial benefits at this stage of our investigation. However, leveraging the rapid advancement of artificial intelligence, this study adopted a deep learning process to mine AMP (numbered 7, 4, 2) with brand-new sequence features from an extreme environment bacillus sequence library, and selected the optimal structural tandem configuration through molecular dynamics (MD) simulation. As a result, several monomers with potential performance, namely NJT-Lyy-7, NJT-Lyy-4, and NJT-Lyy-2, were obtained. For convenience, they will be referred to as "7", "4", and "2" in the following context.
Design:
To build a robust antimicrobial peptide prediction model, we first integrated positive samples (AMPs) from multiple authoritative databases (such as APD3, DADP, DBAASP), and selected negative samples (non-AMPs) from the UniProtKB/Swiss-Prot database to construct a balanced dataset containing over 10,000 sequences. We adopted a bidirectional long short-term memory network (Bi-LSTM) with an attention mechanism as the core model architecture, and trained an integrated model through a five-fold cross-validation strategy to ensure its prediction accuracy and generalization ability.
After training, the integrated model was used to conduct a high-throughput scan on a genomic sequence library from extremophilic Bacillus. For sequences predicted by the model to have a high likelihood of being AMPs (prediction probability > 0.9), we applied a series of strict bioinformatics filtering conditions, including but not limited to assessing their potential to form amphipathic helices (hydrophobic moment), calculating net positive charge (range of +2 to +9), and excluding potential transmembrane sequences. Through this series of screening processes, three candidate AMP monomers with ideal characteristics were finally identified from the strain library and numbered as 7, 4, and 2, and used for subsequent experimental design and validation. Based on these results, we identified several candidate monomers with potential activity: NJT-Lyy-7, NJT-Lyy-4, and NJT-Lyy-2. For convenience, these are subsequently referred to as "7", "4", and "2".
The three monomers 7, 4, and 2 exhibited low solubility or unstable expression under various host/vector conditions. To enhance expression and folding stability, a strategy of tandemly linking the three monomers was adopted, with flexible (Gly4Ser)n linker peptides (length optimized through preliminary experiments) connecting the monomers in sequence to form a single polypeptide.
Fig. 31 Schematic diagram of the model structure
Combinatorial space: All permutations of the three sites (A(3,3) = 6) were carried out to obtain six configurations: "742, 724, 472, 427, 274, 247"; for each configuration, the initial three-dimensional structure model and rapid energy minimization were conducted, and then the subsequent simulation screening was carried out (Fig. 32).
Fig. 32 RMSD curves from MD simulations of the six tandem configurations
Then, using pET-28a(+) as the vector, a tandem expression cassette containing the pelB signal peptide sequence and codon-optimized antimicrobial peptides (AMP2, AMP4, and AMP7) was constructed, with the three peptides connected by a flexible linker (GGGGS). This recombinant plasmid was named pET-28a-pelB-742, or pET-28a-pelB-NJT-LYY-742.
Fig. 33 The structure of PelB-NJT-LYY-742
Plasmid of pET-28a-pelB-742 like Fig. 34
Fig. 34 Map of the pET-28a-pelB-742 plasmid
Fig. 35 pET-28a-pelB-742 signaling pathway
Construction:
Similar to other DBTL constructions.
Testing:
The correct colonies will be inoculated into two 50 mL LB media bottles. After reaching an OD600 of 0.6, they will be subjected to ultrasonic disruption. The protein from one of the bottles will be directly freeze-dried, while the other bottle will undergo purification and ultrafiltration before conducting an SDS-PAGE experiment. After the freeze-dried samples are melted, the inhibition zone test and MIC determination will be carried out.
The band size of pET-28a-pelB-NJT-LYY-742 is approximately 14.8 kDa.
Fig. 36 SDS-PAGE image of PelB-742
On the far right is the 10-180 kDa protein marker. Lane 1: Total protein of PelB-742; Lane 2: PelB-742 supernatant; Lane 3: PelB-742 precipitate; Lane 4: Sample after ultrafiltration of PelB-742
Fig. 37 Antibacterial effect of PelB-742
Fig. 38 PelB-742 MIC Test
Result:
The experiment found that the antibacterial effect of PelB-742 has significantly improved, proving that our sequence combination is effective and functional. But the expression of 742 often in precipitate are not in supernatant.
Learning:
Through experimental verification, it was found that the antibacterial effect of PelB combined with NJT-LYY-7, NJT-LYY-4, and NJT-LYY-2 is higher than that of individual proteins. However, when testing the antibacterial zone and MIC, we used the total protein for freeze-drying. However, the protein content we obtained in the supernatant was still relatively low. Therefore, we considered adding molecular chaperones to increase its expression in the supernatant.