Synthesis and tau RNA binding evaluation of ametantrone-containing ligands

We describe the synthesis and characterization of ametantrone-containing RNA ligands based on the derivatization of this intercalator with two neamine moieties (Amt-Nea,Nea) or with one azaquinolone heterocycle and one neamine (Amt-Nea,Azq) as well as its combination with guanidinoneamine (Amt-NeaG4). Biophysical studies revealed that guanidinylation of the parent ligand (Amt-Nea) had a positive effect on the binding of the resulting compound for Tau pre-mRNA target as well as on the stabilization upon complexation of some of the mutated RNA sequences associated with the development of tauopathies. Further studies by NMR revealed the existence of a preferred binding site in the stem-loop structure, in which ametantrone intercalates in the characteristic bulged region. Regarding doubly-functionalized ligands, binding affinity and stabilizing ability of Amt-Nea,Nea were similar to those of the guanidinylated ligand, but the two aminoglycoside fragments seem to interfere with its accommodation in a single binding site. However, Amt-Nea,Azq binds at the bulged region in a similar way than Amt-NeaG4. Overall, these results provide new insights on fine-tuning RNA binding properties of ametantrone by single or double derivatization with other RNA recognition motifs, which could help in the future design of new ligands with improved selectivity for disease-causing RNA molecules.

Ametantrone-based compounds as potential regulators of Tau pre-mRNA alternative splicing

Tau pre-mRNA contains a stem-loop structure involved in the regulation of the alternative splicing of tau protein. We describe here a new family of Tau RNA ligands selected by dynamic combinatorial chemistry based on the combination of ametantrone with small RNA-binding molecules. The most promising compound results from derivatization of one of the side chains of the anthraquinone ring with the small aminoglycoside neamine through a short spacer. This compound binds the RNA target with a high affinity in a preferred binding site, in which the heteroaromatic moiety intercalates in the bulged region of the stem-loop and its side chains and neamine interact with the major groove of the RNA. Importantly, binding of this compound to mutated RNA sequences involved in the onset of some tauopathies such as FTDP-17 restores their thermodynamic stability to a similar or even higher levels than that of the wild-type sequence, thereby revealing its potential as a modulator of Tau pre-mRNA splicing.

Structure-based virtual screening for the identification of RNA-binding ligands

Structure-based virtual screening exploits the 3D structure of the target as a template for the discovery of new ligands. It is a key method for hit discovery and was originally developed for protein targets. Recently, this method has also been applied to RNA targets. This chapter gives an overview of this method and its application in the context of ligand discovery for RNA. In addition, it describes in detail how to conduct virtual screening for RNA targets, making use of software that is free for noncommercial use. Some advice on how to avoid common pitfalls in virtual screening is also given.

Rational design of chemical genetic probes of RNA function and lead therapeutics targeting repeating transcripts

RNA is an important yet vastly underexploited target for small molecule chemical probes or lead therapeutics. Small molecules have been used successfully to modulate the function of the bacterial ribosome, viral RNAs and riboswitches. These RNAs are either highly expressed or can be targeted using substrate mimicry, a mainstay in the design of enzyme inhibitors. However, most cellular RNAs are neither highly expressed nor have a lead small molecule inhibitor, a significant challenge for drug discovery efforts. Herein, I describe the design of small molecules targeting expanded repeating transcripts that cause myotonic muscular dystrophy (DM). These test cases illustrate the challenges of designing small molecules that target RNA and the advantages of targeting repeating transcripts. Lastly, I discuss how small molecules might be more advantageous than oligonucleotides for targeting RNA.

Established and emerging trends in computational drug discovery in the structural genomics era

Bioinformatics and chemoinformatics approaches contribute to hit discovery, hit-to-lead optimization, safety profiling, and target identification and enhance our overall understanding of the health and disease states. A vast repertoire of computational methods has been reported and increasingly combined in order to address more and more challenging targets or complex molecular mechanisms in the context of large-scale integration of structure and bioactivity data produced by private and public drug research. This review explores some key computational methods directly linked to drug discovery and chemical biology with a special emphasis on compound collection preparation, virtual screening, protein docking, and systems pharmacology. A list of generally freely available software packages and online resources is provided, and examples of successful applications are briefly commented upon.