From virtuality to reality - Virtual screening in lead discovery and lead optimization: a medicinal chemistry perspective

Drug discovery and development is an interdisciplinary, expensive and time-consuming process. Scientific advancements during the past two decades have altered the way pharmaceutical research produces novel bio-active molecules. Advances in computational techniques and hardware solutions have enabled in silico methods, and in particular virtual screening, to speed up modern lead identification and lead optimization. Recent successes have proven the power of combining virtual screening with complementary and synergistic biophysical methods, such as X-ray crystallography, NMR spectroscopy and isothermal titration calorimetry (ITC). This review addresses key issues, challenges and recent improvements of virtual screening methods and strategies. Examples highlighting the impact of an integrated virtual screening and biophysical characterization platform in the lead identification and optimization process are presented and discussed.     

High-throughput X-ray crystallography for drug discovery

Knowledge of the three-dimensional structures of protein targets has the potential to greatly accelerate drug discovery, but technical challenges and time constraints have traditionally limited its use to lead optimization. Its application is now being extended beyond structure determination into new approaches for lead discovery. Structure-activity relationships by nuclear magnetic resonance have been widely used to detect ligand binding and to give some indication of the location of the binding site. X-ray crystallography has the advantage of defining ligand-binding sites with greater certainty. High-throughput approaches make this method applicable to screening to identify molecular fragments that bind protein targets, and to defining precisely their binding sites. X-ray crystallography can then be used as a rapid technique to guide the elaboration of the fragments into larger molecular weight compounds that might be useful leads for drug discovery.     

Electron density guided fragment-based lead discovery of ketohexokinase inhibitors

A fragment-based drug design paradigm has been successfully applied in the discovery of lead series of ketohexokinase inhibitors. The paradigm consists of three iterations of design, synthesis, and X-ray crystallographic screening to progress low molecular weight fragments to leadlike compounds. Applying electron density of fragments within the protein binding site as defined by X-ray crystallography, one can generate target specific leads without the use of affinity data. Our approach contrasts with most fragment-based drug design methodology where solution activity is a main design guide. Herein we describe the discovery of submicromolar ketohexokinase inhibitors with promising druglike properties.     

Designer drugs: the evolving science of drug discovery

Drug discovery and design are fundamental to drug development. Until recently, most drugs were discovered through random screening or developed through molecular modification. New technologies are revolutionizing this phase of drug development. Rational drug design, using powerful computers and computational chemistry and employing X-ray crystallography, nuclear magnetic resonance spectroscopy, and three-dimensional quantitative structure activity relationship analysis, is creating highly specific, biologically active molecules by virtual reality modeling. Sophisticated screening technologies are eliminating all but the most active lead compounds. These new technologies promise more efficacious, safe, and cost-effective medications, while minimizing drug development time and maximizing profits.     

Fragment-based lead discovery using X-ray crystallography

Fragment screening offers an alternative to traditional screening for discovering new leads in drug discovery programs. This paper describes a fragment screening methodology based on high throughput X-ray crystallography. The method is illustrated against five proteins (p38 MAP kinase, CDK2, thrombin, ribonuclease A, and PTP1B). The fragments identified have weak potency (>100 microM) but are efficient binders relative to their size and may therefore represent suitable starting points for evolution to good quality lead compounds. The examples illustrate that a range of molecular interactions (i.e., lipophilic, charge-charge, neutral hydrogen bonds) can drive fragment binding and also that fragments can induce protein movement. We believe that the method has great potential for the discovery of novel lead compounds against a range of targets, and the companion paper illustrates how lead compounds have been identified for p38 MAP kinase starting from fragments such as those described in this paper.     

Fragment screening by biochemical assay

The use of high concentration biochemical assays to identify weak binding fragment molecules can be an effective method to identify novel starting points for medicinal chemistry programmes. The combination of a high-quality fragment library with sensitive biochemical screening methods is a viable alternative to the more commonly used fragment screening methods such as nuclear magnetic resonance screening or high-throughput X-ray crystallography. Notably, there are a number of literature reports where fragment molecules have been identified by a high concentration biochemical assay. The use of high concentration screening of fragments using a portfolio of single-molecule fluorescence correlation spectroscopy detection techniques to ensure the highest reproducibility and sensitivity have been demonstrated, as well as the use of and X-ray crystallography to determine the binding mode of active fragments.     

X-ray crystallography over the past decade for novel drug discovery – where are we heading next?

Introduction: Macromolecular X-ray crystallography has been the primary methodology for determining the three-dimensional structures of proteins, nucleic acids and viruses. Structural information has paved the way for structure-guided drug discovery and laid the foundations for structural bioinformatics. However, X-ray crystallography still has a few fundamental limitations, some of which may be overcome and complemented using emerging methods and technologies in other areas of structural biology.

Areas covered: This review describes how structural knowledge gained from X-ray crystallography has been used to advance other biophysical methods for structure determination (and vice versa). This article also covers current practices for integrating data generated by other biochemical and biophysical methods with those obtained from X-ray crystallography. Finally, the authors articulate their vision about how a combination of structural and biochemical/biophysical methods may improve our understanding of biological processes and interactions.

Expert opinion: X-ray crystallography has been, and will continue to serve as, the central source of experimental structural biology data used in the discovery of new drugs. However, other structural biology techniques are useful not only to overcome the major limitation of X-ray crystallography, but also to provide complementary structural data that is useful in drug discovery. The use of recent advancements in biochemical, spectroscopy and bioinformatics methods may revolutionize drug discovery, albeit only when these data are combined and analyzed with effective data management systems. Accurate and complete data management is crucial for developing experimental procedures that are robust and reproducible.     

High-throughput crystallography for lead discovery in drug design

Knowledge of the three-dimensional structures of protein targets now emerging from genomic data has the potential to accelerate drug discovery greatly. X-ray crystallography is the most widely used technique for protein structure determination, but technical challenges and time constraints have traditionally limited its use primarily to lead optimization. Here, we describe how significant advances in process automation and informatics have aided the development of high-throughput X-ray crystallography, and discuss the use of this technique for structure-based lead discovery.     

Structure-based screening and design in drug discovery

Structure-based screening represents an integrated approach for the identification and optimization of hits by the combined use of nuclear magnetic resonance (NMR) spectroscopy, homology modeling and X-ray crystallography. A general feature of the methodology is the introduction of structure-based methods (NMR, modeling and X-ray) early in the drug discovery process to optimize hits in terms of their affinities and specificities. This approach promises to deliver leads with improved physicochemical properties as compared with leads generated from a traditional HTS program. This review presents examples of structure-based screening from published and in-house drug discovery projects.     

The future of crystallography in drug discovery

Introduction: X-ray crystallography plays an important role in structure-based drug design (SBDD), and accurate analysis of crystal structures of target macromolecules and macromolecule–ligand complexes is critical at all stages. However, whereas there has been significant progress in improving methods of structural biology, particularly in X-ray crystallography, corresponding progress in the development of computational methods (such as in silico high-throughput screening) is still on the horizon. Crystal structures can be overinterpreted and thus bias hypotheses and follow-up experiments. As in any experimental science, the models of macromolecular structures derived from X-ray diffraction data have their limitations, which need to be critically evaluated and well understood for structure-based drug discovery.

Areas covered: This review describes how the validity, accuracy and precision of a protein or nucleic acid structure determined by X-ray crystallography can be evaluated from three different perspectives: i) the nature of the diffraction experiment; ii) the interpretation of an electron density map; and iii) the interpretation of the structural model in terms of function and mechanism. The strategies to optimally exploit a macromolecular structure are also discussed in the context of ‘Big Data' analysis, biochemical experimental design and structure-based drug discovery.

Expert opinion: Although X-ray crystallography is one of the most detailed ‘microscopes' available today for examining macromolecular structures, the authors would like to re-emphasize that such structures are only simplified models of the target macromolecules. The authors also wish to reinforce the idea that a structure should not be thought of as a set of precise coordinates but rather as a framework for generating hypotheses to be explored. Numerous biochemical and biophysical experiments, including new diffraction experiments, can and should be performed to verify or falsify these hypotheses. X-ray crystallography will find its future application in drug discovery by the development of specific tools that would allow realistic interpretation of the outcome coordinates and/or support testing of these hypotheses.     

基于片段的药物设计方法研究进展

基于片段的药物设计(FBDD)已经逐渐发展成为一种重要的药物设计新方法。FBDD利用表面等离子共振技术(SPR)、核磁共振技术(NMR)、质谱(MS)和X-射线单晶衍射等方法检测与靶蛋白相互作用的小分子片段,然后以片段为起点来设计先导化合物。与传统的药物设计方法相比,FBDD具有发现活性化合物效率高的特点,且发现的化合物具有活性强、类药性好等优点。该文结合实例综述了基于片段的药物设计方法的研究进展。     

Molecular modeling of vasopressin receptor and in silico screening of V1b receptor antagonists

Introduction: G protein-coupled receptors (GPCRs) are integral membrane proteins which contain seven-transmembrane-spanning alpha-helices. GPCR-mediated signaling has been associated with various human diseases, positioning GPCRs as attractive targets in the drug discovery field. Recently, through advances in protein engineering and crystallography, the number of resolved GPCR structures has increased dramatically. This growing availability of GPCR structures has greatly accelerated structure-based drug design (SBDD) and in silico screening for GPCR-targeted drug discovery.

Areas covered: The authors introduce the current status of X-ray crystallography of GPCRs and what has been revealed from the resolved crystal structures. They also review the recent advances in SBDD and in silico screening for GPCR-targeted drug discovery and discuss a docking study, using homology modeling, with the discovery of potent antagonists of the vasopressin 1b receptor.

Expert opinion: Several innovative protein engineering techniques and crystallographic methods have greatly accelerated SBDD, not only for already-resolved GPCRs but also for those structures which remain unclear. These technological advances are expected to enable the determination of GPCR-fragment complexes, making it practical to perform fragment-based drug discovery. This paves the way for a new era of GPCR-targeted drug discovery.     

NMR-based approaches for lead discovery

NMR methods have long been used for studying molecular interactions. In the last few years, various NMR approaches have been developed to aid lead discovery. These involve different NMR screening methods to identify initial compounds, which often bind only weakly (in the micro- to millimolar range) to the drug target. Intelligent and focused follow-up strategies enable the development of these compounds into potent, submicromolar drug-like inhibitors for use as leads in drug discovery projects. NMR can be used as both a remarkably reliable screening tool and a structural tool; thus, this technique has unique opportunities for lead discovery.     

Rapid-access, high-throughput synchrotron crystallography for drug discovery

Synchrotron X-ray sources provide the highest quality crystallographic data for structure-guided drug design. In general, industrial utilization of such sources has been intermittent and occasionally limited. The Lilly Research Laboratories Collaborative Access Team (LRL-CAT) beamline provides a unique alternative to traditional synchrotron use by pharmaceutical and biotechnology companies. Crystallographic experiments at LRL-CAT and the results therefrom are integrated directly into the drug discovery process, permitting structural data, including screening of fragment libraries, to be routinely and rapidly used on a daily basis as part of pharmaceutical lead discovery and optimization. Here we describe how LRL-CAT acquires and disseminates the results from protein crystallography to maximize their impact on the development of new potential medicines.     

The devil is still in the details--driving early drug discovery forward with biophysical experimental methods

This review comments on some recent trends and insights in the field of lead identification and optimization with a bias toward the increased use of biophysical methods, particularly in combination with three-dimensional structural information. While high-throughput screening, combinatorial chemistry and, most recently, in silico virtual screening techniques have made well-resourced but only partially successful attempts to meet the challenge of identifying new drug candidates by playing 'the large numbers game', another group of technologies are now approaching the same challenge from what might be considered the opposite extreme. The common strategy of these technologies is to focus on a smaller set of low-molecular-weight compounds whose interactions with a target are characterized with the aid of sensitive assays, most often high-quality biophysical techniques such as biosensors, calorimetry, nuclear magnetic resonance spectroscopy and X-ray crystallography. The advantages of such an approach include more optimal and chemically attractive starting points, immediate access to reliable measurements of binding properties, the mapping of ligand interactions on the atomic level and, most importantly, a greater control of experimental errors at the initial stages of drug discovery where compounds are either discovered or lost. When correctly supported, this more careful approach appears to deliver quality leads, even for the so-called 'difficult' targets. As these techniques are complementary to traditional methods, companies should be less hesitant to invest in them. The biophysical methods that are used to drive this approach have made something of a return to drug discovery after having been discarded for being too slow, too expensive or too old-fashioned by the over-optimistic supporters of high-throughput and statistical/computational in silico methods.     

Application of fragment-based lead generation to the discovery of novel, cyclic amidine beta-secretase inhibitors with nanomolar potency, cellular activity, and high ligand efficiency

Fragment-based lead generation has led to the discovery of a novel series of cyclic amidine-based inhibitors of beta-secretase (BACE-1). Initial fragment hits with an isocytosine core having millimolar potency were identified via NMR affinity screening. Structure-guided evolution of these fragments using X-ray crystallography together with potency determination using surface plasmon resonance and functional enzyme inhibition assays afforded micromolar inhibitors. Similarity searching around the isocytosine core led to the identification of a related series of inhibitors, the dihydroisocytosines. By leveraging the knowledge of the ligand-BACE-1 recognition features generated from the isocytosines, the dihydroisocytosines were efficiently optimized to submicromolar potency. Compound 29, with an IC50 of 80 nM, a ligand efficiency of 0.37, and cellular activity of 470 nM, emerged as the lead structure for future optimization.     

Applications of biophysical tools to target-based discovery of novel antibacterial leads

New antibacterial drugs are urgently needed to combat the growing problem of multidrug resistant bacterial infections. Major advances in bacterial genomics have uncovered many unexploited targets, leading to the possibility of discovering new antibacterials with novel mechanisms that would circumvent resistance. Many of these targets are soluble enzymes that vary in their degrees of mechanistic complexity. Protein crystallography as well as solution based biophysical methods are playing an increasingly important role in selecting, characterizing and validating promising targets as well as identifying and optimizing lead compounds that inhibit their functions. Advances made in recent years in sensitivity, resolution and throughput of biophysical tools are allowing multiple approaches to screening for hits and rational design of leads based on a deeper understanding of structure-activity relationships. However, the path from a lead compound to a safe and efficacious antibacterial drug still remains challenging. Structural and biophysical approaches have had less of an impact on this later phase of discovery than on the lead generation phase.     

Recent trends in library design: 'rational design' revisited

Diversity has historically played a critical role in the design of combinatorial libraries, screening sets and corporate collections for lead discovery. Large library design dominated the field of lead discovery in the 1990s, with design methods ranging from arbitrary and property-based reagent selection to product-based approaches. Over time, however, there has been a downward trend in library size as the genomics revolution and the increasing availability of target protein structures from X-ray crystallography and homology modeling have increased the volume of information concerning desired targets. Concurrently, computing grids and CPU clusters have facilitated the development of structure-based tools that are able to screen hundreds of thousands of molecules. Smaller, 'smarter' combinatorial and focused parallel libraries have replaced the unfocused large libraries in the drug design paradigm of the 21st century. While diversity continues to play a role in lead discovery, the focus of current library design methods has shifted to scaffold design and bio-isostere searching, with a greatly needed emphasis on synthetic feasibility.     

New lead generation strategies for protein kinase inhibitors - fragment based screening approaches

The protein kinase superfamily represents both an enormous opportunity and a unique challenge for drug discovery. Protein kinases play central roles in the cellular economy and it is well known that a large number of diseases involve aberrant protein kinase activity. This review discusses how fragment based screening strategies, such as virtual screening, NMR and high-throughput X-ray crystallography are being employed to identify new chemo-types to produce the next generation of protein kinase inhibitors.     

High-throughput structural biology in drug discovery: protein kinases

Structural biology is an invaluable tool in modern drug discovery, providing key insights into the interactions of small-molecule drugs with their protein targets. As in many aspects of the drug discovery process, significant synergies can be realized in structural biology by the contemporaneous pursuit of many target proteins from a single structural and functional class. We will review some of those synergies here using the example of the protein kinases--an important class of drug targets that has recently been the subject of intensive study. We conclude by discussing some of the technical advances in X-ray crystallography that have enabled implementation of high-throughput structural biology as applied to drug lead optimization.