ABSTRACT
Protein complexes with short linear motifs (SLiMs) are known to play important regulatory functions in eukaryotes. In this investigation, I have studied the structures deposited in PDB with SLiMs. The structures were grouped into three broad categories of protein-protein, protein-peptide, and the rest as others. Protein-peptide complexes were found to be most highly represented. The interfaces were evaluated for geometric features and conformational variables. It was observed that protein-protein and protein-peptide complexes show characteristic differences in residue pairings, which were quantified by evaluating normalized contact residue pairing frequencies. Interface residues adopt characteristic canonical residue conformations in the Ramachandran space, with a pronounced preference for positive Ï conformations. It was observed that phosphorylated residues have an unusual propensity to adopt the positive Ï conformations at the interface.
Subject(s)
Peptides , Proteins , Amino Acid Motifs , Databases, Protein , Molecular Conformation , Protein Conformation , Proteins/geneticsABSTRACT
PCSK9, a member of the proprotein convertase family, is a key negative regulator of hepatic low-density lipoprotein receptor (LDLR) concentrations in the blood plasma and is associated with the risk of coronary artery disease (CAD). Peptide inhibitors designed to block PCSK9-LDLR interactions could reduce the risk of CAD. We present a study of the interaction of a PCSK9 bound peptide and its design through modification by phosphorylation using molecular dynamics simulations. Extensive explicit solvent simulations of PCSK9 and its mutant (Asp374 â Tyr374) with designed peptides provide insights into the mechanism of peptide binding at the protein interface. We establish that ß-augmentation is the key mechanism of peptide association with PCSK9. Position-specific phosphorylation of threonine residues is observed to have noticeable effect in modulating protein-peptide association. This study provides a handle to explore and improve the design of peptides bound to PCSK9 by incorporating knowledge-derived functional motifs into designing potent binders.