Lead compounds discovered from libraries

Lead compounds with the potential to progress to viable drug candidates have been identified from libraries using several strategies. These include rapid screening of large diverse collections, thematic libraries, project-directed libraries, and three-dimensional molecular models of corporate databases. There have been numerous success stories, including the identification of several clinical candidates.     

Scaffold composition and biological relevance of screening libraries

The chemical scaffolds from which screening libraries are built have strong influence on the libraries' utility for screening campaigns. Here we present analysis of the scaffold composition of several types of commercially available screening collections and compare those compositions to those of drugs and drug candidates.     

Natural products as a screening resource

Natural products have been the most productive source of leads for new drugs, but they are currently out of fashion with the pharmaceutical industry. New approaches to sourcing novel compounds from untapped areas of biodiversity coupled with the technical advances in analytical techniques (such as microcoil NMR and linked LC-MS-NMR) have removed many of the difficulties in using natural products in screening campaigns. As the 'chemical space' occupied by natural products is both more varied and more drug-like than that of combinatorial chemical collections, synthetic and biosynthetic methods are being developed to produce screening libraries of natural product-like compounds. A renaissance of drug discovery inspired by natural products can be predicted.     

Anti-infectives: can cellular screening deliver?

In an era of emerging and reemerging infectious diseases, and increasing multidrug resistance, the need to identify novel therapy is imperative. Unfortunately, the recent shift of the drug discovery paradigm from cellular screening to target-based approaches has not delivered the anticipated benefits. A recent renaissance of the traditional cell-based approach, on the other hand, has yielded several clinical candidates. Three successful examples are illustrated in this review, namely spiroindolone, thiazolidinone, and diarylquinoline for the treatment of malaria, hepatitis C virus, and tuberculosis, respectively. We describe in detail their identification, mechanism of action (MoA), and common features in the chemical structures. The challenges of the cell-based approach for anti-infective drug discovery are also discussed. We propose a shift from standard libraries to synthetic natural-product-like compound collections to improve the success of phenotypic lead finding and to facilitate the validation of hits.     

Fpocket: An open source platform for ligand pocket detection

Background  

Virtual screening methods start to be well established as effective approaches to identify hits, candidates and leads for drug discovery research. Among those, structure based virtual screening (SBVS) approaches aim at docking collections of small compounds in the target structure to identify potent compounds. For SBVS, the identification of candidate pockets in protein structures is a key feature, and the recent years have seen increasing interest in developing methods for pocket and cavity detection on protein surfaces.     

From Design to Screening: A New Antimicrobial Peptide Discovery Pipeline

Antimicrobial peptides (AMPs) belong to a class of natural microbicidal molecules that have been receiving great attention for their lower propensity for inducing drug resistance, hence, their potential as alternative drugs to conventional antibiotics. By generating AMP libraries, one can study a large number of candidates for their activities simultaneously in a timely manner. Here, we describe a novel methodology where in silico designed AMP-encoding oligonucleotide libraries are cloned and expressed in a cellular host for rapid screening of active molecules. The combination of parallel oligonucleotide synthesis with microbial expression systems not only offers complete flexibility for sequence design but also allows for economical construction of very large peptide libraries. An application of this approach to discovery of novel AMPs has been demonstrated by constructing and screening a custom library of twelve thousand plantaricin-423 mutants in Escherichia coli. Analysis of selected clones by both Sanger-sequencing and 454 high-throughput sequencing produced a significant amount of data for positionally important residues of plantaricin-423 responsible for antimicrobial activity and, moreover, resulted in identification of many novel variants with enhanced specific activities against Listeria innocua. This approach allows for generation of fully tailored peptide collections in a very cost effective way and will have countless applications from discovery of novel AMPs to gaining fundamental understanding of their biological function and characteristics.     

Virtual high throughput screening (vHTS) - A perspective

With the exponential rise in the number of viable novel drug targets, computational methods are being increasingly applied to accelerate the drug discovery process. Virtual High Throughput Screening (vHTS) is one such established methodology to identify drug candidates from large collection of compound libraries. Although it complements the expensive and time consuming High Throughput Screening (HTS) of compound libraries, vHTS possess inherent challenges. The successful vHTS requires the careful implementation of each phase of computational screening experiment right from target preparation to hit identification and lead optimization. This article discusses some of the important considerations that are imperative for designing a successful vHTS experiment.     

Characterization of four human YAC libraries for clone size, chimerism and X chromosome sequence representation.

Four collections of human X-specific YACs, derived from human cells containing supernumerary X chromosomes or from somatic cell hybrids containing only X human DNA were characterized. In each collection, 80-85% of YAC strains contained a single X YAC. Five thousand YACs from the various libraries were sized, and cocloning was assessed in subsets by the fraction of YAC insert-ends with non-X sequences. Cocloning was substantial, ranging up to 50% for different collections; and in agreement with previous indications, in all libraries the larger the YACs, the higher the level of cocloning. In libraries made from human-hamster hybrid cells, expected numbers of clones were recovered by STS-based screening; but unexpectedly, the two collections from cells with 4 or 5 X chromosomes yielded numbers of YACs corresponding to an apparent content of only about two X equivalents. Thus it is possible that the DNA of inactive X chromosomes is poorly cloned into YACs, speculatively perhaps because of its specialized chromatin structure.     

Harnessing phage and ribosome display for antibody optimisation

Therapeutic antibodies have become a major driving force for the biopharmaceutical industry; therefore, the discovery and development of safe and efficacious antibody leads have become competitive processes. Phage and ribosome display are ideal tools for the generation of such molecules and have already delivered an approved drug as well as a multitude of clinical candidates. Because they are capable of searching billions of antibody variants in tailored combinatorial libraries, they are particularly applicable to potency optimisation. In conjunction with targeted, random or semi-rational mutagenesis strategies, they deliver large panels of potent antibody leads. This review introduces the two technologies, compares them with respect to their use in antibody optimisation and highlights how they can be exploited for the successful and efficient generation of putative drug candidates.     

Comparison of antiproliferative effects of experimental and established antipsoriatic drugs on human keratinocytes,using a simple 96-well-plate assay

Pharmacological treatments for psoriasis are generally based on antiproliferative, anti-inflammatory, or differentiation-modifying activity, or a combination of two or more of these actions. Potentially new drugs for treatment of psoriasis, which act on proliferation, can be identified by screening large compound libraries in a cell proliferation model that allows for characterization of drug effects on in vitro growth of normal human keratinocytes. High-throughput programs based on biological testing of diverse collections of compounds can rapidly identify leads for potential drug candidates in the treatment of psoriasis. In this study, we describe nonradioactive measurement of keratinocyte proliferation in the exponential growth phase in a 96-well format, using a sensitive deoxyribonucleic acid-binding dye to analyze drugs that are pharmacologically active in growth inhibition. Release of lactate dehydrogenase was used to exclude cytotoxic effects. We examined a number of compounds in a test range of 10(-7) to 10(-5) M, including known antipsoriatic drugs, and experimental drugs that are potentially useful in the treatment of psoriasis. We found strong concentration-dependent growth inhibition by dithranol, an antipsoriatic compound that is presumed to target the epidermal compartment. Methotrexate, cyclosporin A, and all-trans retinoic acid did not significantly affect proliferation at therapeutically relevant concentrations. The p38 mitogen-activated protein kinase inhibitor, SB220025, and curcumin, a natural phytochemical, inhibited keratinocyte proliferation at 10(-5) M. We conclude that this assay, in combination with the previously developed assays for psoriatic differentiation, provides a useful tool for identification of antipsoriatic drugs.     

High-throughput screening of biocatalytic activity: applications in drug discovery

Enzymes catalyze a diverse set of reactions that propel life's processes and hence serve as valuable therapeutic targets. High-throughput screening methods have become essential for sifting through large chemical libraries in search of drug candidates, and several sensitive and reliable analytical techniques have been specifically adapted to high-throughput measurements of biocatalytic activity. High-throughput biocatalytic assay platforms thus enable rapid screening against enzymatic targets, and have vast potential to impact various stages of the drug discovery process, including lead identification and optimization, and ADME/Tox assessment. These advances are paving the way for the adoption of high-throughput biocatalytic assays as an indispensable tool for the pharmaceutical industry.     

Functional assays for screening GPCR targets

G-protein-coupled receptors (GPCRs) are valuable molecular targets for drug discovery. An important aspect of the early drug discovery process is the design and implementation of high-throughput GPCR functional assays that allow the cost-effective screening of large compound libraries to identify novel drug candidates. Several functional assay kits based on fluorescence and/or chemiluminescence detection are commercially available for convenient screen development, each having advantages and disadvantages. In addition, new GPCR biosensors and high-content imaging technologies have recently been developed that hold promise for the development of functional GPCR screens in living cells.     

Recent Advances in Drug Repositioning for the Discovery of New Anticancer Drugs

Drug repositioning (also referred to as drug repurposing), the process of finding new uses of existing drugs, has been gaining popularity in recent years. The availability of several established clinical drug libraries and rapid advances in disease biology, genomics and bioinformatics has accelerated the pace of both activity-based and in silico drug repositioning. Drug repositioning has attracted particular attention from the communities engaged in anticancer drug discovery due to the combination of great demand for new anticancer drugs and the availability of a wide variety of cell- and target-based screening assays. With the successful clinical introduction of a number of non-cancer drugs for cancer treatment, drug repositioning now became a powerful alternative strategy to discover and develop novel anticancer drug candidates from the existing drug space. In this review, recent successful examples of drug repositioning for anticancer drug discovery from non-cancer drugs will be discussed.     

Modern methods to produce natural-product libraries

Natural sources offer a wealth of chemically diverse compounds that have been evolutionary preselected to modulate biochemical pathways. Several industrial and academic groups are accessing this source using advanced technology platforms. Methods have been reported to generate large and diverse natural-product libraries optimised for high-throughput screening and for a fast discovery process. In addition to prefractionated and pure natural-product libraries, parallel synthesis gives access to synthetic, semi-synthetic and natural-product-like libraries. Natural-product chemistry and organic synthesis are powerful tools for optimising natural leads and for generating new diversity from natural scaffolds. The amalgamation of both may be expected to become an important strategy in future drug design.     

First BRET-based screening assay performed in budding yeast leads to the discovery of CDK5/p25 interaction inhibitors

The protein kinase CDK5 (cyclin-dependent kinase 5) is activated through its association with a cyclin-like protein p35 or p39. In pathological conditions (such as Alzheimer's disease and various other neuropathies), truncation of p35 leads to the appearance of the p25 protein. The interaction of p25 with CDK5 up-regulates the kinase activity and modifies the substrate specificity. ATP-mimetic inhibitors of CDK5 have already been developed. However, the lack of selectivity of such inhibitors is often a matter of concern. An alternative approach can be used to identify highly specific inhibitors that disrupt protein interactions involving protein kinases. We have developed a bioluminescence resonance energy transfer (BRET)-based screening assay in yeast to discover protein-protein interaction inhibitors (P2I2). Here, we present the first use of BRET in yeast for the screening of small molecule libraries. This screening campaign led to the discovery of one molecule that prevents the interaction between CDK5 and p25, thus inhibiting the protein kinase activity. This molecule may give rise to high-specificity drug candidates.     

Smart peptide libraries are accessible via enzymatic modifications

Summary The minireview summarizes the recent preparation of the following unusually modified combinatorial peptide collections useful for diagnostics and screening in drug finding. Tissue transglutaminase catalyzes cross couplings with transamidation between Gln and Lys peptide chains resulting in libraries with isopeptide bonds. The enzyme is involved in the triggering of autoantigenic B- and T-cell epitopes of coeliac disease. The microbial enzyme EpiD involved in lantibiotic biosynthesis catalyzes oxidative decarboxylation of C-terminal cysteine residues in peptide libraries transforming peptidyl-cysteines to peptide (2-mercaptovinyl)amides. Novel backbone modified peptide libraries are prepared using oxazole and thiazole building blocks carrying amino acid side chains. These amino acids have been found in many biologically active natural products from marine and microbial organisms such as microcin B17. Dityrosine and isodityrosine linked peptide dimer libraries are accessible by oxidative phenol coupling using horseradish peroxidase. Such structural elements are found for example in the polycyclic glycopeptide antibiotics of the vancomycin type. Microstructured layers of linear and cyclic peptide libraries are generated on transducer surfaces for cellular assays, sensor developments and even chiral recognition. Examples include a light-directed and microstructured electrochemical polymerization of phenol labelled peptides.     

Virtual screening strategies in drug discovery

The identification of novel therapeutic targets and characterization of their 3D structures is increasing at a dramatic rate. Computational screening methods continue to be developed and improved as credible and complementary alternatives to high-throughput biochemical compound screening (HTS). While the majority of drug candidates currently being developed have been found using HTS methods, high-throughput docking and pharmacophore-based searching algorithms are gaining acceptance and becoming a major source of lead molecules in drug discovery. Refinements and optimization of high-throughput docking methods have lead to improvements in reproducing experimental data and in hit rates obtained, validating their use in hit identification. In parallel with virtual screening methods, concomitant developments in cheminformatics including identification, design and manipulation of drug-like small molecule libraries have been achieved. Herein, currently used in silico screening techniques and their utility on a comparative and target dependent basis is discussed.     

High-throughput screening assays for cyclooxygenase-2 and 5-lipoxygenase, the targets for inflammatory disorders

High-throughput screening (HTS) involves testing of compound libraries against validated drug targets using quantitative bioassays to identify 'hit' molecules that modulate the activity of target, which forms the starting point of a drug discovery effort. Eicosanoids formed via cyclooxygenase (COX) and lipoxygenase (LOX) pathways are major players in various inflammatory disorders. As the conventional non-steroidal anti-inflammatory drugs (NSAIDs) that inhibit both the constitutive (COX-1) and the inducible (COX-2) isoforms have gastric and renal side effects and the recently developed COX-2 selective anti-inflammatory drugs (COXIBs) have cardiac side effects, efforts are being made to develop more potent and safer antiinflammatory drugs. Current assay methods for these enzymes, such as oxygraphic, radioisotopic, spectrophotometric etc. are not compatible for screening of large number of compounds as in drug discovery programs. In the present study, HTS-compatible assays for COX-1, COX-2 and 5-LOX were developed for screening of compound libraries with the view to identify potential anti-inflammatory drug candidates. A spectrophotometric assay involving co-oxidation of tetramethyl-p-phenylene diamine (TMPD) during the reduction of prostaglandin G2 (PGG2) to PGH2 was adopted and standardized for screening of compounds against COX-1 and COX-2. Similarly, the HTS-compatible FOX (ferrous oxidation-xylenol orange) based spectrophotometric assay involving the formation of Fe3+/xylenol orange complex showing absorption in the visible range was developed for screening of compounds against 5-LOX.     

Early phase drug discovery: Cheminformatics and computational techniques in identifying lead series

Early drug discovery processes rely on hit finding procedures followed by extensive experimental confirmation in order to select high priority hit series which then undergo further scrutiny in hit-to-lead studies. The experimental cost and the risk associated with poor selection of lead series can be greatly reduced by the use of many different computational and cheminformatic techniques to sort and prioritize compounds. We describe the steps in typical hit identification and hit-to-lead programs and then describe how cheminformatic analysis assists this process. In particular, scaffold analysis, clustering and property calculations assist in the design of high-throughput screening libraries, the early analysis of hits and then organizing compounds into series for their progression from hits to leads. Additionally, these computational tools can be used in virtual screening to design hit-finding libraries and as procedures to help with early SAR exploration.     

The role of combichem in antibiotic discovery

Combinatorial chemistry (combichem) has had a significant impact on the discovery of new antibiotics. Most of the successes have come from the use of small libraries to explore a specific pharmacophore. However, large diverse libraries are more appropriate when identifying hits by screening specific bacterial or fungal targets. Combichem has been used to optimize new azole and oxazolidinone leads. An entirely new class of antibiotics, inhibitors of bacterial peptidyl-deformylase, has been discovered by combining mechanism-based drug design and combichem. These compounds are active in vivo. The impact of combichem on discovery projects that aim to develop new antibiotics for the treatment of infectious diseases is discussed.