Peptide Tethering: Pocket-Directed Fragment Screening for Peptidomimetic Inhibitor Discovery.

Constrained peptides have proven to be a rich source of ligands for protein surfaces, but are often limited in their binding potency. Deployment of nonnatural side chains that access unoccupied crevices on the receptor surface offers a potential avenue to enhance binding affinity. We recently described a computational approach to create topographic maps of protein surfaces to guide the design of nonnatural side chains [J. Am. Chem. Soc. 2017, 139, 15560]. The computational method, AlphaSpace, was used to predict peptide ligands for the KIX domain of the p300/CBP coactivator. KIX has been the subject of numerous ligand discovery strategies, but potent inhibitors of its interaction with transcription factors remain difficult to access. Although the computational approach provided a significant enhancement in the binding affinity of the peptide, fine-tuning of nonnatural side chains required an experimental screening method. Here we implement a peptide-tethering strategy to screen fragments as nonnatural side chains on conformationally defined peptides. The combined computational-experimental approach offers a general framework for optimizing peptidomimetics as inhibitors of protein-protein interactions.

Rational Design of Silicon-Based Zinc Ionophores.

Ionophores transport ions across biological membranes and have wide-ranging applications, but a platform for their rapid development does not exist. We report a platform for developing ionophores from metal-ion chelators, which are readily available with wide-ranging affinities and specificities, and structural data that can aid rational design. Specifically, we fine-tuned the binding affinity and lipophilicity of a ZnII -chelating ligand by introducing silyl groups proximal to the ZnII -binding pocket, which generated ionophores that performed better than most of the currently known ZnII ionophores. Furthermore, these silicon-based ionophores were specific for ZnII over other metals and exhibited better antibacterial activity and less toxicity to mammalian cells than several known ZnII ionophores, including pyrithione. These studies establish rational design principles for the rapid development of potent and specific ionophores and a new class of antibacterial agents.

Targeting Unoccupied Surfaces on Protein-Protein Interfaces.

The use of peptidomimetic scaffolds to target protein-protein interfaces is a promising strategy for inhibitor design. The strategy relies on mimicry of protein motifs that exhibit a concentration of native hot spot residues. To address this constraint, we present a pocket-centric computational design strategy guided by AlphaSpace to identify high-quality pockets near the peptidomimetic motif that are both targetable and unoccupied. Alpha-clusters serve as a spatial representation of pocket space and are used to guide the selection of natural and non-natural amino acid mutations to design inhibitors that optimize pocket occupation across the interface. We tested the strategy against a challenging protein-protein interaction target, KIX/MLL, by optimizing a single helical motif within MLL to compete against the full-length wild-type MLL sequence. Molecular dynamics simulation and experimental fluorescence polarization assays are used to verify the efficacy of the optimized peptide sequence.

CRISPR-based therapeutics: current challenges and future applications.

The discovery, only a decade ago, of the genome editing power of clustered regularly interspaced short palindromic repeats (CRISPR)-associated nucleases is already reinventing the therapeutic process, from how new drugs are discovered to novel ways to treat diseases. CRISPR-based screens can aid therapeutic development by quickly identifying a drug's mechanism of action and escape mutants. Additionally, CRISPR-Cas has advanced emerging ex vivo therapeutics, such as cell replacement therapies. However, Cas9 is limited as an in vivo therapeutic due to ineffective delivery, unwanted immune responses, off-target effects, unpredictable repair outcomes, and cellular stress. To address these limitations, controls that inhibit or degrade Cas9, biomolecule-Cas9 conjugates, and base editors have been developed. Herein, we discuss CRISPR-Cas systems that advance both conventional and emerging therapeutics.

Bifunctional modalities for repurposing protein function.

Nature takes advantage of induced proximity to perform various functions. Taking inspiration from nature, we can also trigger desired biological processes using bifunctional small molecules that artificially induce proximity. For example, bifunctional small molecules have been designed to trigger the ubiquitin-dependent proteasomal degradation of intracellular proteins. Now, recent classes of bifunctional compounds have been developed to degrade extracellular targets, membrane proteins, damaged organelles, and RNA by recruiting alternative degradation pathways. In addition to inducing degradation, bifunctional modalities can change phosphorylation and glycosylation states to evoke a biological response. In this review, we highlight recent advances in these innovative classes of compounds that build on a rich history of chemical inducers of dimerization. We anticipate that more bifunctional molecules, which induce or remove posttranslational modifications, to endow neo-functionalities will emerge.

Chemical and optical control of CRISPR-associated nucleases.

The clustered regularly interspaced short palindromic repeats (CRISPR)-Cas system of bacteria has furnished programmable nucleases (e.g., Cas9) that are transforming the field of genome editing with applications in basic and biomedical research, biotechnology, and agriculture. However, broader real-world applications of Cas9 require precision control of its activity over dose, time, and space as off-target effects, embryonic mosaicism, chromosomal translocations, and genotoxicity have been observed with elevated and/or prolonged nuclease activity. Here, we review chemical and optical methods for precision control of Cas9's activity.

Systematic Targeting of Protein-Protein Interactions.

Over the past decade, protein-protein interactions (PPIs) have gone from being neglected as 'undruggable' to being considered attractive targets for the development of therapeutics. Recent advances in computational analysis, fragment-based screening, and molecular design have revealed promising strategies to address the basic molecular recognition challenge: how to target large protein surfaces with specificity. Several systematic and complementary workflows have been developed to yield successful inhibitors of PPIs. Here we review the major contemporary approaches utilized for the discovery of inhibitors and focus on a structure-based workflow, from the selection of a biological target to design.