Blood–brain barrier permeability considerations for CNS-targeted compound library design

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A further refinement of the concept of drug-likeness is required for compound libraries intended for central nervous system (CNS) targets to account for the limitations imposed by blood–brain barrier permeability. This review describes criteria and processes that can be applied in the de novo design and assembly of libraries to increase the odds of compounds residing within CNS-accessible chemical space. A number of published examples where CNS activity and/or penetration characteristics have been a factor in library design are discussed.

Introduction

The fundamental philosophy underpinning early phase drug discovery underwent a dramatic reshaping in the early 1990s with the advent of parallel synthesis and high-throughput screening [1]. Accompanying advances in automation and informatics enabled the generation, management and screening of large expanses of new chemical space and seemed to offer a panacea for the demands of the expanding biological target landscape. The initial surge of excitement stemming from the potential of interlacing the ability to generate large libraries and screen them has however since been tempered by the emergence of important pragmatic considerations. The early enthusiasm and, to a certain extent, hubris fueled by the power of numbers has given way to a realization that library size must be balanced with compound quality, both in terms of the nature of the structures and their analytical fidelity. Consequently, the science of library design has evolved from one where chemical diversity and synthetic practicality were the primary drivers to a more holistic approach, incorporating both activity-based and property-based design elements [2••]. Smaller, target-focused compound arrays which are preferably amenable to iterative optimization and incorporate drug-like and lead-like features better align with current drug discovery needs. A substantial body of literature has been devoted to the concept of lead-like and drug-like chemical space and its utilization in the assessment of virtual structures has become a routine precursor to the synthesis of libraries [3, 4, 5•, 6]. For targets residing in the central nervous system (CNS), the blood–brain barrier (BBB) represents an additional hurdle to be surmounted relative to peripheral targets [7]. CNS-accessible chemical space is recognized as representing a small subset of the synthetically accessible chenome [8••, 9]. Therefore, a further refinement of the concept of drug-likeness is required for CNS-targeted therapeutics. Surprisingly however, there are very few published examples where CNS penetration characteristics have been factored into library design. The purpose of this article is to: first, review select examples where BBB permeability has been a guiding factor in de novo design of libraries and second, provide recommendations for future design of CNS-permeable compound libraries.

Section snippets

Issues with BBB permeability in library design

The BBB is characterized by an extensive network of capillaries lined with endothelial cells that possess a number of unique morphological and biochemical features [10]. The continuous tight junctions between these cells tightly restrict paracellular diffusion of molecules. Active transport at the BBB by both uptake and efflux proteins and the presence of metabolizing enzymes conspire to present a formidable and complex biological barrier to small molecule entry into the brain. An issue that

BBB permeability-biased library design

A recent literature example describing of the use of PAMPA and IAM chromatography as tools in iterative library design is illustrated in Figure 3 [20]. A serendipitous observation that a diketopiperazine (DKP) degradation product 1, formed from a tripeptide, possessed good passive permeability in a BBMEC assay prompted the design and investigation of additional DKP libraries.

The first iteration of the DKP library contained 15 analogs prepared on solid phase in greater than 90% purity. The

CNS-activity-based and property-based library design

An impressive example of the incorporation of both CNS-activity-based and property-based design features into library design has been reported by researchers from Organon [22]. Analysis of fragments present in 373 CNS drugs indicate that aromatic and amino groups occur with high frequency, being found in 83% and 63% of CNS drugs, respectively. A 3042 compound library was designed, employing a set of 13 different scaffolds. Each scaffold possessed two sites of modification, and was selected to

Physicochemical descriptors in CNS-biased library design

In response to the paucity of available BBB permeability data, data mining approaches relying on reported pharmacological activity or disease indication as a surrogate gauge of CNS entry have been employed to develop predictive methods for CNS activity [23•, 24, 25, 26, 27]. An advantage of these methods is the large body of data housed in databases such as Comprehensive Medicinal Chemistry (CMC), MDL Drug Data Report (MDDR), and World Drug Index (WDI). However, the caveat that indication for a

Conclusions

The wealth of in silico and in vitro biological data generated within drug discovery programs has rendered activity-biased library design routine in nature. Whereas, the ability to validate target design hypothesis is readily enabled by high-throughput in vitro assays, in vitro measurement of BBB permeability potential remains limited by assay capacity. Consequently the philosophy exists within many research programs that BBB permeability is better addressed in the lead optimization phase at a

References and recommended reading

Papers of particular interest, published within the annual period of review, have been highlighted as:

  • • of special interest

  • •• of outstanding interest

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