[Computer-aided molecular modeling and activity estimation for ligand screening with specific phage clone as the...

Area of Science:

• Biochemistry
• Molecular Biology
• Computational Chemistry

Context:

• Tumor necrosis factor alpha (TNF alpha) plays a crucial role in inflammatory diseases.
• Phage display libraries are effective for screening TNF alpha-binding peptides.
• Understanding peptide-TNF alpha interactions is vital for therapeutic development.

Purpose:

• To computationally investigate the binding modes of TNF alpha-binding peptide LLT-18 with TNF alpha and its mimotope LCS-7.
• To analyze the key amino acid residues and interaction types (electrostatic, H-bond) involved in these molecular complexes.
• To assess the feasibility of using computational methods for screening ligands and predicting peptide interactions.

Summary:

• Utilized AutoDock and Discover software to predict binding interactions between LLT-18 and TNF alpha/LCS-7.
• Identified electrostatic interactions and hydrogen bonds as primary stabilizing forces.
• Highlighted the critical role of Arginine (Arg) residues in TNF alpha/LCS-7 and specific residues (Glu1, His2, Met3, Tyr7) in LLT-18 for binding.

Impact:

• Demonstrates the potential of computer-aided molecular modeling for predicting peptide-epitope interactions.
• Validates a strategy for screening specific ligands using phage clones as targets.
• Provides insights into the molecular basis of TNF alpha mimotope recognition, potentially guiding drug design.