When analoging is not enough: scaffold discovery in medicinal chemistry

Importance of the field: As an integral part of lead generation and optimization, scaffold discovery has broad implications in drug discovery. Currently available chemical scaffolds might be inadequate to provide drug-like ligands for new targets such as phosphatases and protein–protein interactions and therapeutically useful chemical space needs to be continuously explored. New scaffolds are often desired to overcome major hurdles (e.g., potency plateau, selectivity, pharmacokinetics, etc.) in lead generation and optimization. Timely discovery of proof-of-concept compounds facilitates target validation, diversifies clinical candidates and improves the overall success rate of drug discovery.

Areas covered in this review: This analysis discusses the strategies involved in finding new scaffolds (i.e., fragment-, ligand- and structure-based design) and their applications (e.g., improve potency/selectivity, multiple ligand design, protein–protein interactions, etc.) in drug discovery.

What the reader will gain: The readers will learn the strategies involved in scaffold design and the problems that they solve. They will also gain the understanding of the circumstances suitable for using scaffold design.

Take home message: Scaffold is defined by the authors as a biological target dependent concept. Therapeutically useful scaffolds are limited and the identification of new scaffolds is sometimes required to overcome major optimization hurdles. However, depending on the promiscuity of the binding pocket of the target and the validity of the optimization protocol, finding better scaffolds can be a challenging task. Several strategies in scaffold discovery have emerged or matured owing to recent trends such as pursuit of targets from new proteomic families, lack of validated targets, advances in synthesis and biological assays and adoption of in vitro activity-driven screening paradigms.     

Methods for computer-aided chemical biology. Part 1: Design of a benchmark system for the evaluation of compound selectivity

Computational drug design and discovery methods have traditionally put much emphasis on the identification of novel active compounds and the optimization of their potency. For chemical genetics and genomics applications, an important task is the identification of small molecules that are selective against target families, subfamilies, or individual targets and can be used as molecular probes for specific functions. In order to develop or tune computational methods for such applications, there is a need for molecular benchmark systems that focus on compound selectivity, rather than biological activity (in qualitative terms) or potency. We have constructed a selectivity-oriented test system that consists of 26 compound selectivity sets against 13 individual targets belonging to three distinct families and contains a total of 558 selective compounds. The targets were chosen because of pharmaceutical relevance and the availability of suitable ligands, privileged structural motifs and/or target structure information. Compound selectivity sets were characterized by structural diversity, chemical scaffold and selectivity range analysis. The test system is made freely available and should be useful for the development of computational approaches in chemical biology.     

The hunt for antimitotic agents: an overview of structure-based design strategies

ABSTRACT

Introduction: Structure-based drug discovery offers a rational approach for the design and development of novel anti-mitotic agents which target specific proteins involved in mitosis. This strategy has paved the way for development of a new generation of chemotypes which selectively interfere with the target proteins. The interference of these anti-mitotic targets implicated in diverse stages of mitotic cell cycle progression culminates in cancer cell apoptosis.

Areas covered: This review covers the various mitotic inhibitors developed against validated mitotic checkpoint protein targets using structure-based design and optimization strategies. The protein-ligand interactions and the insights gained from these studies, culminating in the development of more potent and selective inhibitors, have been presented.

Expert opinion: The advent of structure-based drug design coupled with advances in X-ray crystallography has revolutionized the discovery of candidate lead molecules. The structural insights gleaned from the co-complex protein-drug interactions have provided a new dimension in the design of anti-mitotic molecules to develop drugs with a higher selectivity and specificity profile. Targeting non-catalytic domains has provided an alternate approach to address cross-reactivity and broad selectivity among kinase inhibitors. The elucidation of structures of emerging mitotic drug targets has opened avenues for the design of inhibitors that target cancer.     

Platforms for the identification of GPCR targets, and of orthosteric and allosteric modulators

Areas covered in this review: The review provides a summary of old and new approaches for GPCR target identification and for the screening of molecules acting on GPCR targets. The new findings in the field are presented as well as an opinion about how these developments may help GPCR drug discovery. Importance in the field: GPCRs have been the most useful family of proteins in terms of targets for drug discovery. The expectations for GPCR target identification and discovery of new drugs acting on 'old' or 'new' GPCR targets are very high. Given the fact that the pace at which new 'GPCR drugs' appear in the market is decreasing and since the new developments in the field are not being translated into drug discovery there is a need to review the field from a critical perspective. Take home message: To overcome the limitation of the old approaches used in GPCR target identification and drugs discovery new approaches are required. In particular successful approaches in GPCR drug discovery should take into account that the real GPCR targets for a given disease are not GPCR monomers but GPCR heteromers. What the reader will gain: The reader will gain an overview of the strategies currently used and their pros and cons. The reader will also understand that new strategies may help in accelerating the access of GPCR into the market, and also notice that successful strategies should take advantage of the new findings in the field of GPCRs.     

Novel approaches to antimalarial drug discovery

Major advances in our understanding of malaria parasite biology have been made. Coupled with the completion of the malaria genome, this has presented exciting opportunities for target-based antimalarial drug discovery. However, the unraveling of more validated biological targets will not necessarily translate into the identification of new chemical entities that are effective against drug resistant parasites in the long term. As history has already shown, development of antiplasmodial agents aimed at a single parasite target or specialized process has failed to stem the tide of drug resistance. This review highlights recent starting points and/or approaches to antimalarial drug discovery with particular emphasis on innovative efforts, which are not necessarily based on the identification of new drug targets and attendant inhibitor design. Approaches covered include utilization of validated chemical scaffolds, bioprecursor and carrier prodrugs, double drug development and/or multi-therapeutic strategies, use of metallocenic scaffolds, the medicinal chemistry of antimalarial natural products and in silico drug design.     

Chemical proteomics-based drug design: target and antitarget fishing with a catechol-rhodanine privileged scaffold for NAD(P)(H) binding proteins

Drugs typically exert their desired and undesired biological effects by virtue of binding interactions with protein target(s) and antitarget(s), respectively. Strategies are therefore needed to efficiently manipulate and monitor cross-target binding profiles (e.g., imatinib and isoniazid) as an integrated part of the drug design process. Herein we present such a strategy, which reverses the target --> lead rational drug design paradigm. Enabling this approach is a catechol-rhodanine privileged scaffold for dehydrogenases, which is easily tuned for affinity and specificity toward desired targets. This scaffold crosses bacterial (E. coli) cell walls, and proteome-wide studies demonstrate it does indeed bind to and identify NAD(P)(H)-binding proteins that are potential drug targets in Mycobacterium tuberculosis and antitargets (or targets) in human liver. This approach to drug discovery addresses key difficulties earlier in the process by only pursuing targets for which a chemical lead and optimization strategy are available, to permit rapid tuning of target/antitarget binding profiles.     

Discovery of a novel series of potent and orally bioavailable phosphoinositide 3-kinase γ inhibitors

The phosphoinositide 3-kinases (PI3Ks) have been linked to an extraordinarily diversified group of cellular functions making these enzymes compelling targets for the treatment of disease. A large body of evidence has linked PI3Kγ to the modulation of autoimmune and inflammatory processes making it an intriguing target for drug discovery. Our high-throughput screening (HTS) campaign revealed two hits that were nominated for further optimization studies. The in vitro activity of the first HTS hit, designated as the sulfonylpiperazine scaffold, was optimized utilizing structure-based design. However, nonoptimal pharmacokinetic properties precluded this series from further studies. An overlay of the X-ray structures of the sulfonylpiperazine scaffold and the second HTS hit within their complexes with PI3Kγ revealed a high degree of overlap. This feature was utilized to design a series of hybrid analogues including advanced leads such as 31 with desirable potency, selectivity, and oral bioavailability.     

The impact of informatics and computational chemistry on synthesis and screening

High-throughput synthesis and screening technologies have enhanced the impact of computational chemistry on the drug discovery process. From the design of targeted, drug-like libraries to ‘virtual’ optimization of potency, selectivity and ADME/Tox properties, computational chemists are able to efficiently manage costly resources and dramatically shorten drug discovery cycle times. This review will describe some of the successful strategies and applications of state-of-the-art algorithms to enhance drug discovery, as well as key points in the drug discovery process where computational methods can have, and have had, greatest impact.     

From laptop to benchtop to bedside: structure-based drug design on protein targets

As an important aspect of computer-aided drug design, structure-based drug design brought a new horizon to pharmaceutical development. This in silico method permeates all aspects of drug discovery today, including lead identification, lead optimization, ADMET prediction and drug repurposing. Structure-based drug design has resulted in fruitful successes drug discovery targeting proteinligand and protein-protein interactions. Meanwhile, challenges, noted by low accuracy and combinatoric issues, may also cause failures. In this review, state-of-the-art techniques for protein modeling (e.g. structure prediction, modeling protein flexibility, etc.), hit identification/ optimization (e.g. molecular docking, focused library design, fragment-based design, molecular dynamic, etc.), and polypharmacology design will be discussed. We will explore how structure-based techniques can facilitate the drug discovery process and interplay with other experimental approaches.     

QSAR studies in the discovery of novel type-II diabetic therapies

Introduction: Type-II diabetes mellitus (T2DM) is a complex chronic disease that represents a major therapeutic challenge. Despite extensive efforts in T2DM drug development, therapies remain unsatisfactory. Currently, there are many novel and important antidiabetic drug targets under investigation by many research groups worldwide. One of the main challenges to develop effective orally active hypoglycemic agents is off-target effects. Computational tools have impacted drug discovery at many levels. One of the earliest methods is quantitative structure–activity relationship (QSAR) studies. QSAR strategies help medicinal chemists understand the relationship between hypoglycemic activity and molecular properties. Hence, QSAR may hold promise in guiding the synthesis of specifically designed novel ligands that demonstrate high potency and target selectivity.

Areas covered: This review aims to provide an overview of the QSAR strategies used to model antidiabetic agents. In particular, this review focuses on drug targets that raised recent scientific interest and/or led to successful antidiabetic agents in the market. Special emphasis has been made on studies that led to the identification of novel antidiabetic scaffolds.

Expert opinion: Computer-aided molecular design and discovery techniques like QSAR have a great potential in designing leads against complex diseases such as T2DM. Combined with other in silico techniques, QSAR can provide more useful and rational insights to facilitate the discovery of novel compounds. However, since T2DM is a complex disease that includes several faulty biological targets, multi-target QSAR studies are recommended in the future to achieve efficient antidiabetic therapies.     

High-throughput kinase profiling as a platform for drug discovery

To fully exploit the potential of kinases as drug targets, novel strategies for the efficient discovery of inhibitors are required. In contrast to the traditional, linear process of inhibitor discovery, high-throughput kinase profiling enables a parallel approach by interrogating compounds against hundreds of targets in a single screen. Compound potency and selectivity are determined simultaneously, providing a choice of targets to pursue that is guided by the quality of lead compounds available, rather than by target biology alone.     

Biofocussed chemoprospecting: An efficient approach for drug discovery

Drug discovery strategies include from broad random screening to focussed target‐based approaches. Structure and substrate information greatly enables target‐based design, but this is limited to relatively few targets; cell‐based screening can identify new targets but often suffers from low hit rates and difficult hit optimization. Thus, newer approaches are needed that can improve the efficiency of screening and hit optimization. Here, we describe an efficient approach for hit generation, which may be called “biofocussed chemoprospecting.” With bio‐likeness and ease of synthesis as priority criteria, libraries may be constructed with good optimization potential, physicochemical diversity, drug likeness and low cost. Following this approach, two libraries based on linear and cyclic dipeptide scaffolds were designed, first as virtual libraries comprising of more than 30000 compounds, and after subsequent filtering, as a small library of a total of 51 compounds. These provided good diversity at low cost, and were tested for bioactivities. The discovery of six active compounds demonstrates a hit rate greater than 10%. This is comparable to target‐based approaches, but the “chemoprospecting” method described here has the additional potential to identify new targets and mechanisms.     

Antifolate agents: a patent review (2006 - 2010)

INTRODUCTION: For > 50 years, drugs targeting the folate pathway have significantly impacted disease treatment as anticancer, antimicrobial and immunomodulatory agents. The discovery of novel antifolate agents with improved properties and superior activities remains an attractive strategy, both in academia and the pharmaceutical industry. AREAS COVERED: This review surveys the patent literature from 2006 to 2010 for small molecule inhibitors of enzymatic targets in the folate biosynthetic pathway. EXPERT OPINION: The pursuit of antifolates as anticancer and antimicrobial agents continues to be an active area of research. New patent disclosures reveal novel antifolate scaffolds, antifolates with improved drug-like properties and new strategies to effectively target cancer cells. The continued use of high resolution structural information has guided the discovery of several compounds. Owing to the need for high levels of potency and selectivity, especially in targeting pathogenic species, the use of high resolution crystal structures remains an important tool to guide the design of novel antifolates. Interestingly, the patents disclosing novel compounds were ones where X-ray crystallography was an integral component of the design process. Finally, a variety of new structures have been reported that may play an important role in the future development of therapeutic antifolates.     

Discovery of potential Toxoplasma gondii CDPK1 inhibitors with new scaffolds based on the combination of QSAR and scaffold‐hopping method with in vitro validation

To discover drugs for toxoplasmosis with less side‐effects and less probability to get drug resistance is eagerly appealed for pregnant women, infant or immunocompromised patients. In this work, using TgCDPK1 as drug target, we design a method to discover new inhibitors for CDPK1 as potential drug lead for toxoplasmosis with novel scaffolds based on the combination of 2D/3D‐QSAR and scaffold‐hopping methods. All the binding sites of the potential inhibitors were checked by docking method, and only the ones that docked to the most conserved sites of TgCDPK1, which make them have less probability to get drug resistance, were remained. As a result, 10 potential inhibitors within two new scaffolds were discovered for TgCDPK1 with experimentally verified inhibitory activities in micromole level. The discovery of these inhibitors may contribute to the drug development for toxoplasmosis. Besides, the pipeline which is composed in this work as the combination of QSAR and scaffold‐hopping is simple, easy to repeat for researchers without need of in‐depth knowledge of pharmacology to get inhibitors with novel scaffolds, which will accelerate the procedure of drug discovery and contribute to the drug repurposing study.     

Developments with bead-based screening for novel drug discovery

ABSTRACT

Introduction: Combinatorial chemistry provides a cost-effective method for rapid discovery of drug hits/leads. The one-bead-one-compound (OBOC) library method is in principle ideally suited for this application, because it permits a large number of structurally diverse compounds to be rapidly synthesized and simultaneously screened for binding to a target of interest. However, application of OBOC libraries in drug discovery has encountered significant technical challenges.

Areas covered: This Special Report covers the challenges associated with first-generation OBOC libraries (difficulty in structural identification of non-peptidic hits, screening biases and high false positive rates, and poor scalability). It also covers the many strategies developed over the past two decades to overcome these challenges.

Expert opinion: With most of the technical challenges now overcome and the advent of powerful intracellular delivery technologies, OBOC libraries of metabolically stable and conformationally rigidified molecules (macrocyclic peptides and peptidomimetics, rigidified acyclic oligomers, and D-peptides) can be routinely synthesized and screened to discover initial hits against previously undruggable targets such as intracellular protein-protein interactions. On the other hand, further developments are still needed to expand the utility of the OBOC method to non-peptidic chemical scaffolds.     

Transforming the TGFbeta pathway: convergence of distinct lead generation strategies on a novel kinase pharmacophore for TbetaRI (ALK5)

The pathological activation of the transforming growth factor beta (TGFbeta) pathway plays a critical role in the progression of fibrotic diseases and also enhances tumor invasiveness and metastasis. Due to its central role in TGFbeta signaling, the TGFbeta type I receptor (TbetaRI) is emerging as an exciting target for blockade of the TGFbeta pathway. In this review we will discuss how three independent drug discovery strategies, ie, target-hopping, high-throughput screening and virtual screening, have converged in the identification of inhibitors of TalphaRI kinase. Structural studies have provided insight into the potency and selectivity of these inhibitors and form the basis for structure-based design optimization strategies. These efforts have enabled the production of potent, selective inhibitors for dissecting the TGFalpha pathway and assessing the usefulness of TalphaRI blockade in the treatment of fibrotic diseases and cancer.     

Discovery of modulators of protein-protein interactions: current approaches and limitations

Protein-protein interactions are involved in most of the essential processes that occur in living organisms from cell motility to DNA replication, which makes them interesting targets for drug discovery. However, due to the lack of deep pockets, and the large contact surfaces involved in these interactions, they are considered challenging targets and have been often times dismissed as "undruggable". Nonetheless, significant efforts in pharmaceutical and academic laboratories have been devoted to finding ways to exploit protein-protein interactions as drug targets. This article provides an overview of the principles underlying the main general strategies for discovering small-molecule modulators of protein-protein interactions, namely: high-throughput screening, fragment-based drug discovery, peptide-based drug discovery, protein secondary structure mimetics, and computer-aided drug discovery. In addition, examples of successful discovery of modulators of protein-protein interactions are discussed for each of those strategies.     

蛋白水解靶向嵌合体(PROTAC)连接链优化的研究进展

近年来,具有高度选择性和效能的靶向蛋白降解技术在药学中的潜在应用已逐步受到关注。其中,起到诱导靶蛋白降解作用的蛋白水解靶向嵌合体(proteolysis targeting chimeras,PROTAC)是近年来药物研发领域的新热点之一。目前,PROTAC的研究主要围绕理性合理设计PROTAC分子、发现新型E3泛素连接酶配体和提升PROCTAC分子成药性等方面,相关理论发展迅速。本文聚焦于PROTAC分子中的连接链部分,从连接链的长度、连接链与配体的结合位点以及连接链的化学结构三个角度总结了近年来连接链的差异如何影响E3酶-PROTAC-靶蛋白三元复合物生成的相关研究进展,并进一步讨论了连接链差异对于PROTAC分子的降解效率和选择性的影响。     

De novo design: balancing novelty and confined chemical space

Importance of the field: De novo drug design serves as a tool for the discovery of new ligands for macromolecular targets as well as optimization of known ligands. Recently developed tools aim to address the multi-objective nature of drug design in an unprecedented manner. Areas covered in this review: This article discusses recent advances in de novo drug design programs and accessory programs used to evaluate compounds post-generation. What the reader will gain: The reader is introduced to the challenges inherent in de novo drug design and will become familiar with current trends in de novo design. Furthermore, the reader will be better prepared to assess the value of a tool, and be equipped to design more elegant tools in the future. Take home message: De novo drug design can assist in the efficient discovery of new compounds with a high affinity for a given target. The inclusion of existing chemoinformatic methods with current structure-based de novo design tools provides a means of enhancing the therapeutic value of these generated compounds.     

Chemical genetic approaches to kinase drug discovery

Chemical genetics is an important approach in biological research that utilizes small molecules to study protein function. In the context of kinase drug discovery, chemical genetics has broad applications in identifying and validating targets, demonstrating the druggability of a target and providing potential kinase inhibitor leads for further optimization. The successful application of this approach demands that the small-molecule kinase inhibitors used achieve a desired potency and selectivity. However, given the high number (> 518) and homology of kinases in the human genome, identifying potent and selective kinase inhibitors presents a major challenge. This article reviews recent advances in small-molecule kinase inhibitor design, with an emphasis on selectivity, and also discusses recent progress in the development of analog-sensitive kinase allele (ASKA)-based chemical genetics technology, which creates genetically engineered versions of protein kinases that are fully functional and can be selectively inhibited by a unique reference orthogonal inhibitor. Examples of how ASKA technology can be applied to kinase drug discovery is discussed.