In Silico Analysis of Conformational Dynamics and Energetic Landscapes of Putative Insulinase PF11_0189 From the Plasmodium falciparum Genome With Insulin‐Derived Peptides: Approach to Rationale Design of Insulin Peptide‐Based Inhibitors

Glucose abnormality is one of the atypical symptoms mostly overlooked during severe malaria. Screening for proteases involved in glucose abnormality suggests a potential new drug target. PF11_0189 is a putative insulin degrading enzyme found in the genome of Plasmodium falciparum. In silico approach revealed that PF11_0189 is similar to the metalloproteases exhibiting a zinc binding motif. The substrate binding region of PF11_0189 catalytic domain is lined by residues of a mixed nature, enabling the accommodation of both hydrophobic and hydrophilic residues from substrates. Analysis of each amino acid position from combinatorial peptide library suggests Thr and Ser to be the most crucial residues as upon its mutation significant improvement is observed in the binding. The peptides P‐21 (VPICSLY), P‐70 (TMICVLY), and P‐121 (AVICSLY) demonstrate significantly better interaction within the active site than a template peptide (TSICSLY). Molecular dynamic simulations confirm the complex's integrity, with all structures within the qualitative limit of compactness and stability during the simulation time. Principal component analysis (PCA) reveals major conformational motions and different energy landscapes, while dynamic cross‐correlation matrix (DCCM) highlights residue interactions of the complexes. The insights obtained through computational methods provide clues about substrate selectivity in PF11_0189, which can be utilized for peptide‐based therapeutics against severe malaria.