Spontaneous Fluctuations Can Guide Drug Design Strategies for Structurally Disordered Proteins

• Published in: Biochemistry (Easton) Vol. 57; no. 28; pp. 4206 - 4213
• Main Authors: Maity, Barun Kumar, Vishvakarma, Vicky, Surendran, Dayana, Rawat, Anoop, Das, Anirban, Pramanik, Shreya, Arfin, Najmul, Maiti, Sudipta
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 17-07-2018
• Subjects: Drug Design; Drug Discovery - methods; Humans; Intrinsically Disordered Proteins - chemistry; Intrinsically Disordered Proteins - metabolism; Islet Amyloid Polypeptide - chemistry; Islet Amyloid Polypeptide - metabolism; Ligands; Liposomes - metabolism; Molecular Dynamics Simulation; Protein Binding; Protein Multimerization - drug effects; Small Molecule Libraries - chemistry; Small Molecule Libraries - pharmacology
• ISSN: 0006-2960; 1520-4995
• DOI: 10.1021/acs.biochem.8b00504

Structure-based “rational” drug design strategies fail for diseases associated with intrinsically disordered proteins (IDPs). However, structural disorder allows large-amplitude spontaneous intramolecular dynamics in a protein. We demonstrate a method that exploits this dynamics to provide quantitative information about the degree of interaction of an IDP with other molecules. A candidate ligand molecule may not bind strongly, but even momentary interactions can be expected to perturb the fluctuations. We measure the amplitude and frequency of the equilibrium fluctuations of fluorescently labeled small oligomers of hIAPP (an IDP associated with type II diabetes) in a physiological solution, using nanosecond fluorescence cross-correlation spectroscopy. We show that the interterminal distance fluctuates at a characteristic time scale of 134 ± 10 ns, and 6.4 ± 0.2% of the population is in the “closed” (quenched) state at equilibrium. These fluctuations are affected in a dose-dependent manner by a series of small molecules known to reduce the toxicity of various amyloid peptides. The degree of interaction increases in the following order: resveratrol < epicatechin ∼ quercetin < Congo red < epigallocatechin 3-gallate. Such ordering can provide a direction for exploring the chemical space for finding stronger-binding ligands. We test the biological relevance of these measurements by measuring the effect of these molecules on the affinity of hIAPP for lipid vesicles and cell membranes. We find that the ability of a molecule to modulate intramolecular fluctuations correlates well with its ability to lower membrane affinity. We conclude that structural disorder may provide new avenues for rational drug design for IDPs.