Improving the interaction of Myc-interfering peptides with Myc using molecular dynamics simulations

Taking the Myc out of cancer: toward therapeutic strategies to directly inhibit c-Myc

c-Myc is a transcription factor that is constitutively and aberrantly expressed in over 70% of human cancers. Its direct inhibition has been shown to trigger rapid tumor regression in mice with only mild and fully reversible side effects, suggesting this to be a viable therapeutic strategy. Here we reassess the challenges of directly targeting c-Myc, evaluate lessons learned from current inhibitors, and explore how future strategies such as miniaturisation of Omomyc and targeting E-box binding could facilitate translation of c-Myc inhibitors into the clinic.

Interfering peptides targeting protein-protein interactions: the next generation of drugs?

Protein-protein interactions (PPIs) are well recognized as promising therapeutic targets. Consequently, interfering peptides (IPs) - natural or synthetic peptides capable of interfering with PPIs - are receiving increasing attention. Given their physicochemical characteristics, IPs seem better suited than small molecules to interfere with the large surfaces implicated in PPIs. Progress on peptide administration, stability, biodelivery and safety are also encouraging the interest in peptide drug development. The concept of IPs has been validated for several PPIs, generating great expectations for their therapeutic potential. Here, we describe approaches and methods useful for IPs identification and in silico, physicochemical and biological-based strategies for their design and optimization. Selected promising in-vivo-validated examples are described and advantages, limitations and potential of IPs as therapeutic tools are discussed.

Controlling the aggregation and rate of release in order to improve insulin formulation: molecular dynamics study of full-length insulin amyloid oligomer models

Insulin is a hormone that regulates the physiological glucose level in human blood. Insulin injections are used to treat diabetic patients. The amyloid aggregation of insulin may cause problems during the production, storage, and delivery of insulin formulations. Several modifications to the C-terminus of the B chain have been suggested in order to improve the insulin formulation. The central fragments of the A and B chains (LYQLENY and LVEALYL) have recently been identified as β-sheet-forming regions, and their microcrystalline structures have been used to build a high-resolution amyloid fibril model of insulin. Here we report on a molecular dynamics (MD) study of single-layer oligomers of the full-length insulin which aimed to identify the structural elements that are important for amyloid stability, and to suggest single glycine mutants in the β-sheet region that may improve the formulation. Structural stability, aggregation behavior and the thermodynamics of association were studied for the wild-type and mutant aggregates. A comparison of the oligomers of different sizes revealed that adding strands enhances the internal stability of the wild-type aggregates. We call this "dynamic cooperativity". The secondary structure content and clustering analysis of the MD trajectories show that the largest aggregates retain the fibril conformation, while the monomers and dimers lose their conformations. The degree of structural similarity between the oligomers in the simulation and the fibril conformation is proposed as a possible explanation for the experimentally observed shortening of the nucleation lag phase of insulin with oligomer seeding. Decomposing the free energy into electrostatic, van der Waals and solvation components demonstrated that electrostatic interactions contribute unfavorably to the binding, while the van der Waals and especially solvation effects are favorable for it. A per-atom decomposition allowed us to identify the residues that contribute most to the binding free energy. Residues in the β-sheet regions of chains A and B were found to be the key residues as they provided the largest favorable contributions to single-layer association. The positive ∆∆G (mut) values of 37.3 to 1.4 kcal mol(-1) of the mutants in the β-sheet region indicate that they have a lower tendency to aggregate than the wild type. The information obtained by identifying the parts of insulin molecules that are crucial to aggregate formation and stability can be used to design new analogs that can better control the blood glucose level. The results of our simulation may help in the rational design of new insulin analogs with a decreased propensity for self-association, thus avoiding injection amyloidosis. They may also be used to design new fast-acting and delayed-release insulin formulations.

Self-assembly of coiled coils in synthetic biology: inspiration and progress

Biological self-assembly is very complex and results in highly functional materials. In effect, it takes a bottom-up approach using biomolecular building blocks of precisely defined shape, size, hydrophobicity, and spatial distribution of functionality. Inspired by, and drawing lessons from self-assembly processes in nature, scientists are learning how to control the balance of many small forces to increase the complexity and functionality of self-assembled nanomaterials. The coiled-coil motif, a multipurpose building block commonly found in nature, has great potential in synthetic biology. In this review we examine the roles that the coiled-coil peptide motif plays in self-assembly in nature, and then summarize the advances that this has inspired in the creation of functional units, assemblies, and systems.