4.7 Article

An affinity prediction approach for the ligand of E3 ligase Cbl-b and an insight into substrate binding pattern

Journal

BIOORGANIC & MEDICINAL CHEMISTRY
Volume 38, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.bmc.2021.116130

Keywords

Protein-protein interaction; Cbl-b PPI; Affinity prediction; Substrate binding pattern; Peptides

Funding

  1. National Natural Science Foundation of China [81773581, 81773639, 81930100]
  2. National Science & Technology Major Project Key New Drug Creation and Manufacturing Program, China [2018ZX09711002]
  3. Priority Academic Program Development of Jiangsu Higher Education Institutions
  4. Double First Class Innovation Team of China Pharmaceutical University [CPU2018GY02]
  5. Project Program of State Key Laboratory of Natural Medicines, China Pharmaceutical University [SKLNMZZ202003]
  6. Program for Outstanding Scientific and Technological Innovation Team of Jiangsu Higher Education
  7. Qing Lan Project of Jiangsu Province
  8. CAST

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Protein-protein interactions are crucial for cellular processes, and studying them using peptide motifs and computational methods can provide valuable insights for the development of small molecule inhibitors. In this study, a new 6-mer motif with significantly enhanced affinity was discovered for Cbl-b and phosphorylated substrates, demonstrating the importance of structural optimization and activity enhancement mechanisms for PPI blockers.
Protein-protein interactions (PPIs) are essentially fundamental to all cellular processes, so that developing small molecule inhibitors of PPIs have great significance despite representing a huge challenge. Studying PPIs with the help of peptide motifs could obtain the structural information and reference significance to reduce the difficulty in the development of small molecules. Computational methods are powerful tools to characterize peptideprotein interactions, especially molecular dynamics simulation and binding free energy calculation. Here, we established an affinity prediction model suitable for Casitas B lymphoma-b (Cbl-b) and phosphorylated motif system. According to the affinity data set of multiple truncated peptides, the force field, solvent model, and internal dielectric constant of molecular mechanics/generalized Born surface area (MM/GBSA) method were optimized. Further, we predicted the affinity of the rationally designed new sequences through this model and obtained a new 6-mer motif with a 7-fold increase in affinity and the comprehensive structure?activity relationship. Moreover, we proposed an insight of unexpected activity of the truncated 5-mer peptide and revealed the possible binding mode of the new highly active 6-mer motif by extended simulation. Our results showed that the activity enhancement of the truncated peptide was caused by the acetyl-mediated conformation change. The side chain of Arg and pTyr in the 6-mer motif co-occupied the site p1 to form numerous hydrogen bond interactions and increased hydrophobic interaction formed with Tyr266, leading to the higher affinity. The present work provided a reference to investigate the PPI of Cbl-b and phosphorylated substrates and guided the development of Cbl-b inhibitors.

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