2022
DOI: 10.1016/j.pestbp.2022.105188
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Bovine pancreatic trypsin inhibitor and soybean Kunitz trypsin inhibitor: Differential effects on proteases and larval development of the soybean pest Anticarsia gemmatalis (Lepidoptera: Noctuidae)

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“…On the other hand, in silico tools have recently become an unavoidable approach for the optimization of protein–protein complexes and the design of new molecules from the study of the interaction between these proteins related to pest management (de Almeida Barros, Meriño‐Cabrera, Severiche Castro, da Silva Junior, de Oliveira, et al, 2022; de Almeida Barros, Meriño‐Cabrera, Severiche Castro, da Silva Júnior, Schultz, et al, 2022; de Almeida Barros et al, 2021; Halim et al, 2022; Machado et al, 2020; Meriño‐Cabrera, de Oliveira Mendes, et al, 2020; Meriño‐Cabrera, Severiche Castro, et al, 2020; Meriño‐Cabrera, et al, 2022). Using tools such as molecular modeling of proteins, which allows us to determine the three‐dimensional (3D) structure of the sequences of receptors and ligands such as yam disocorins; protein–protein molecular docking, to determine the affinity site and energy of the inhibitor to the digestive enzymes of interest; and study of the interface using software such as Pymol and Discovery, which allow exploring inhibitory residues that bind to the active site of the enzyme and/or potential to reduce enzyme activity (hot‐spot residues), which would be expensive and slowly by experimental methods (Childers & Daggett, 2017); In addition, molecular dynamics (MD) simulations are performed to analyze the stability of the protein–protein complex and the free binding energy in aqueous solution estimation, allowing to understand several underlying biological phenomena, such as enzyme inhibition (Patel & Ytreberg, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, in silico tools have recently become an unavoidable approach for the optimization of protein–protein complexes and the design of new molecules from the study of the interaction between these proteins related to pest management (de Almeida Barros, Meriño‐Cabrera, Severiche Castro, da Silva Junior, de Oliveira, et al, 2022; de Almeida Barros, Meriño‐Cabrera, Severiche Castro, da Silva Júnior, Schultz, et al, 2022; de Almeida Barros et al, 2021; Halim et al, 2022; Machado et al, 2020; Meriño‐Cabrera, de Oliveira Mendes, et al, 2020; Meriño‐Cabrera, Severiche Castro, et al, 2020; Meriño‐Cabrera, et al, 2022). Using tools such as molecular modeling of proteins, which allows us to determine the three‐dimensional (3D) structure of the sequences of receptors and ligands such as yam disocorins; protein–protein molecular docking, to determine the affinity site and energy of the inhibitor to the digestive enzymes of interest; and study of the interface using software such as Pymol and Discovery, which allow exploring inhibitory residues that bind to the active site of the enzyme and/or potential to reduce enzyme activity (hot‐spot residues), which would be expensive and slowly by experimental methods (Childers & Daggett, 2017); In addition, molecular dynamics (MD) simulations are performed to analyze the stability of the protein–protein complex and the free binding energy in aqueous solution estimation, allowing to understand several underlying biological phenomena, such as enzyme inhibition (Patel & Ytreberg, 2018).…”
Section: Introductionmentioning
confidence: 99%