Therapeutic targets: progress of their exploration and investigation of their characteristics

Modern drug discovery is primarily based on the search and subsequent testing of drug candidates acting on a preselected therapeutic target. Progress in genomics, protein structure, proteomics, and disease mechanisms has led to a growing interest in and effort for finding new targets and more effective exploration of existing targets. The number of reported targets of marketed and investigational drugs has significantly increased in the past 8 years. There are 1535 targets collected in the therapeutic target database compared with approximately 500 targets reported in a 1996 review. Knowledge of these targets is helpful for molecular dissection of the mechanism of action of drugs and for predicting features that guide new drug design and the search for new targets. This article summarizes the progress of target exploration and investigates the characteristics of the currently explored targets to analyze their sequence, structure, family representation, pathway association, tissue distribution, and genome location features for finding clues useful for searching for new targets. Possible "rules" to guide the search for druggable proteins and the feasibility of using a statistical learning method for predicting druggable proteins directly from their sequences are discussed.     

Targeting tight junction proteins-significance for drug development

The choice of drug target and the ability to deliver drug to those targets are pivotal in drug development. Most druggable targets are membrane proteins, such as G-protein-coupled receptors, channels and transporters. However, little attention has been paid to potential druggable targets in the membrane proteins of tight junctions (TJs), through which adjacent cell membranes contact one another. Recent progress in the cell biology of TJs provides new insights into the barrier and fence functions of TJs, suggesting that TJ components are promising candidates for drug discovery. In this review, we summarize the cell biology of TJs and discuss the TJ-based drug discovery.     

Progress and problems in the exploration of therapeutic targets

Drugs exert their therapeutic effect by binding and regulating the activity of a particular protein or nucleic acid target. A large number of targets have been explored for drug discovery. Continuous effort has been directed at the search for new targets and more-extensive exploration of existing targets. Knowledge of these targets facilitates the understanding of molecular mechanisms of drugs and the effort required for drug discovery and target searches. Areas of progress, current focuses of research and development and the difficulties in target exploration are reviewed. The characteristics of the currently explored targets and their correlation to the level of difficulty for target exploration are analyzed. From these characteristics, simple rules can be derived for estimating the difficulty level of target exploration. The feasibility of predicting druggable proteins by using simple rules and sequence-derived physicochemical properties is also discussed.     

Physiological relevance of GPCR oligomerization and its impact on drug discovery

The potentially large functional and physiological diversity of G-protein coupled receptor (GPCR) dimers has generated a great deal of excitement about the opportunity that dimerization provides for enabling novel drug discovery. The discovery of physiologically relevant GPCR dimers suggests that new drug targets for diseases such as schizophrenia and pre-eclampsia can be developed by targeting dimers. Most of the previous work on GPCR dimers made use of the overexpression of differentially tagged GPCRs in heterologous cell systems. Current emphasis on the development of physiologically relevant cell systems that endogenously express the appropriate combination of GPCR dimers and accessory proteins is leading to dramatic increases in our understanding of GPCR dimers. These and other new tools such as GPCR-specific antibodies will be required to develop GPCR dimer specific drugs. Given that ligands are available for only a small percentage of the large number of potentially druggable GPCRs, the use of GPCR dimers might provide the necessary targets to increase the breadth and depth of receptors available for therapeutic interventions.     

Mesopore-assisted profiling strategies in clinical proteomics for drug/target discovery

Mass spectrometry (MS)-profiling of human bodily fluids is a new approach for the discovery of novel disease biomarkers and, consequently, of new druggable targets. However, the complexity and the high dynamic range of biological samples make the characterization of endogenous peptides and/or proteins a challenging task. To this end, the introduction of new technologies, enabling sample pre-fractionation and/or pre-treatment before MS, could be useful. Progress in the field of nanostructured materials has provided innovative devices, particularly those based on mesoporous silica, which have proved to be successful. The ability to address new emerging material-based MS-profiling platforms will ultimately determine how deeply nanotechnology and proteomics can contribute to improve drug and/or target discovery.     

From target identification to drug screening assays for neurodegenerative diseases.

Treatment of neurodegenerative diseases represents a major challenge for the pharmaceutical industry. Key to developing novel and efficacious therapeutics is the discovery of new druggable targets. Toward this aim, the current drug discovery process is strongly relying on the improved understanding of disease mechanisms and on a synergistic approach with chemistry, molecular biology and robotics. In this scenario, we present the case of a newly discovered molecular mechanism that may be of interest for drug discovery programmes in Huntington's disease and other neurodegenerative diseases.     

Antifolate agents: a patent review (2010 – 2013)

Introduction: The folate biosynthetic pathway, responsible for the de novo synthesis of thymidine and other key cellular components, is essential in all life forms and is especially critical in rapidly proliferating cells. As such, druggable targets along this pathway offer opportunities to impact many disease states such as cancer, infectious disease and autoimmune disease. In this article, recent progress on the development of antifolate compounds is reviewed.

Areas covered: The evaluation of the patent literature during the period 2010 – 2013 focused on any compounds inhibiting recognized targets on the folate biosynthetic pathway.

Expert opinion: The folate pathway constitutes a well-validated and well-characterized set of targets; this pathway continues to elicit considerable enthusiasm for new drug discovery from both academic and industrial pharmaceutical research groups. Within the pathway, the enzymes dihydrofolate reductase and thymidylate synthase persist as the most attractive targets for new drug discovery for the treatment of cancer and infectious disease. Importantly, new potential targets for antifolates such as those on the purine biosynthetic pathway have been recently explored. The use of structure-based drug design is a major aspect in modern approaches to these drug targets.     

Exploring the epigenetic drug discovery landscape

Introduction: Epigenetic modification has been implicated in a wide range of diseases and the ability to modulate such systems is a lucrative therapeutic strategy in drug discovery.

Areas covered: This article focuses on the concepts and drug discovery aspects of epigenomics. This is achieved by providing a survey of the following concepts: (i) factors influencing epigenetics, (ii) diseases arising from epigenetics, (iii) epigenetic enzymes as druggable targets along with coverage of existing FDA-approved drugs and pharmacological agents, and (iv) drug repurposing/repositioning as a means for rapid discovery of pharmacological agents targeting epigenetics.

Expert opinion: Despite significant interests in targeting epigenetic modifiers as a therapeutic route, certain classes of target proteins are heavily studied while some are less characterized. Thus, such orphan target proteins are not yet druggable with limited report of active modulators. Current research points towards a great future with novel drugs directed to the many complex multifactorial diseases of humans, which are still often poorly understood and difficult to treat.     

Manifold medicine: A schema that expands treatment dimensionality

Drug discovery currently focuses on identifying new druggable targets and drug repurposing. Here, we illustrate a third domain of drug discovery: the dimensionality of treatment regimens. We formulate a new schema called ‘Manifold Medicine’, in which disease states are described by vectorial positions on several body-wide axes. Thus, pathological states are represented by multidimensional ‘vectors’ that traverse the body-wide axes. We then delineate the manifold nature of drug action to provide a strategy for designing manifold drug cocktails by design using state-of-the-art biomedical and technological innovations. Manifold Medicine offers a roadmap for translating knowledge gained from next-generation technologies into individualized clinical practice.     

Cell-based apoptosis assays in oncology drug discovery

Importance of the field: Screening compounds with a cell-based phenotypic approach complements target-based discovery programs because of the opportunity to investigate targets in the context of the cellular milieu and to discover novel targets. Areas covered in this review: Utilizing a cell-based apoptotic phenotype screen for discovery and optimization of apoptosis inducers and affirming activity as potential anticancer agents in vivo with xenograft models. Subsequently, chemical genetic tools are utilized to identify and validate previously unrecognized cancer targets. Case studies showing the various multidisciplinary approaches utilized for several years are reviewed. What the reader will gain: The interactive nature of the drug and target discovery processes, and insights that come from integration of cellular biology, medicinal chemistry and animal research. Take home message: Phenotype proapoptotic screen followed by chemical genetics is useful for anticancer drug research, for the discovery of potential drugs and identification of druggable targets.     

The Therapeutic Target Database: an internet resource for the primary targets of approved, clinical trial and experimental drugs

Increasing numbers of proteins, nucleic acids and other molecular entities have been explored as therapeutic targets. A challenge in drug discovery is to decide which targets to pursue from an increasing pool of potential targets, given the fact that few innovative targets have made it to the approval list each year. Knowledge of existing drug targets (both approved and within clinical trials) is highly useful for facilitating target discovery, selection, exploration and tool development. The Therapeutic Target Database (TTD) has been developed and updated to provide information on 358 successful targets, 251 clinical trial targets and 1254 research targets in addition to 1511 approved drugs, 1118 clinical trials drugs and 2331 experimental drugs linked to their primary targets (3257 drugs with available structure data). This review briefly describes the TTD database and illustrates how its data can be explored for facilitating target and drug searches, the study of the mechanism of multi-target drugs and the development of in silico target discovery tools.     

Identification of hot spots within druggable binding regions by computational solvent mapping of proteins

Here we apply the computational solvent mapping (CS-Map) algorithm toward the in silico identification of hot spots, that is, regions of protein binding sites that are major contributors to the binding energy and, hence, are prime targets in drug design. The CS-Map algorithm, developed for binding site characterization, moves small organic functional groups around the protein surface and determines their most energetically favorable binding positions. The utility of CS-Map algorithm toward the prediction of hot spot regions in druggable binding pockets is illustrated by three test systems: (1) renin aspartic protease, (2) a set of previously characterized druggable proteins, and (3) E. coli ketopantoate reductase. In each of the three studies, existing literature was used to verify our results. Based on our analyses, we conclude that the information provided by CS-Map can contribute substantially to the identification of hot spots, a necessary predecessor of fragment-based drug discovery efforts.     

Key aspects of the Novartis compound collection enhancement project for the compilation of a comprehensive chemogenomics drug discovery screening collection

The NIBR (Novartis Institutes for BioMedical Research) compound collection enrichment and enhancement project integrates corporate internal combinatorial compound synthesis and external compound acquisition activities in order to build up a comprehensive screening collection for a modern drug discovery organization. The main purpose of the screening collection is to supply the Novartis drug discovery pipeline with hit-to-lead compounds for today's and the future's portfolio of drug discovery programs, and to provide tool compounds for the chemogenomics investigation of novel biological pathways and circuits. As such, it integrates designed focused and diversity-based compound sets from the synthetic and natural paradigms able to cope with druggable and currently deemed undruggable targets and molecular interaction modes. Herein, we will summarize together with new trends published in the literature, scientific challenges faced and key approaches taken at NIBR to match the chemical and biological spaces.     

The Therapeutic Target Database: an Internet resource for the primary targets of approved,clinical trial and experimental drugs

Increasing numbers of proteins, nucleic acids and other molecular entities have been explored as therapeutic targets. A challenge in drug discovery is to decide which targets to pursue from an increasing pool of potential targets, given the fact that few innovative targets have made it to the approval list each year. Knowledge of existing drug targets (both approved and within clinical trials) is highly useful for facilitating target discovery, selection, exploration and tool development. The Therapeutic Target Database (TTD) has been developed and updated to provide information on 358 successful targets, 251 clinical trial targets and 1254 research targets in addition to 1511 approved drugs, 1118 clinical trials drugs and 2331 experimental drugs linked to their primary targets (3257 drugs with available structure data). This review briefly describes the TTD database and illustrates how its data can be explored for facilitating target and drug searches, the study of the mechanism of multi-target drugs and the development of in silico target discovery tools.     

Revisiting potential druggable targets against SARS-CoV-2 and repurposing therapeutics under preclinical study and clinical trials: A comprehensive review

Coronavirus disease-19 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the most contagious diseases in human history that has already affected millions of lives worldwide. To date, no vaccines or effective therapeutics have been discovered yet that may successfully treat COVID-19 patients or contain the transmission of the virus. Scientific communities across the globe responded rapidly and have been working relentlessly to develop drugs and vaccines, which may require considerable time. In this uncertainty, repurposing the existing antiviral drugs could be the best strategy to speed up the discovery of effective therapeutics against SARS-CoV-2. Moreover, drug repurposing may leave some vital information on druggable targets that could be capitalized in target-based drug discovery. Information on possible drug targets and the progress on therapeutic and vaccine development also needs to be updated. In this review, we revisited the druggable targets that may hold promise in the development of the anti-SARS-CoV-2 agent. Progresses on the development of potential therapeutics and vaccines that are under the preclinical studies and clinical trials have been highlighted. We anticipate that this review will provide valuable information that would help to accelerate the development of therapeutics and vaccines against SARS-CoV-2 infection.     

Druggable targets and targeted drugs: enhancing the development of new therapeutics

The advent of functional genomics, proteomics, chemi-informatics, and other systems-based scientific approaches have raised expectations of novel targets for drug discovery and design. Similarly, advances in materials sciences and biomolecular chemistries raised the prospects of highly targeted therapeutics that maximize efficacy while minimizing systemic toxicity. In spite of these advances, the gross measure of approvable drug output is declining, with only 17 new chemical entities approved by the FDA in 2007. This is in the face of high levels of R&D expenditures in both public and private sectors, and suggests that new, integrative approaches are needed in order to maximally exploit the rapidly expanding knowledge of potential drug and disease targets. The convergence of novel druggable targets with new chemical entities that can be specifically targeted to disease-causing sites and genes represents one means of creating highly efficacious and specific therapies. The approaches that are needed to facilitate such convergence include merging computational methods, systems biology, and gene-linked categorization of diseases with the use of appropriate drug delivery vehicles.     

ENRI: A tool for selecting structure‐based virtual screening target conformations

Finding pharmaceutically relevant target conformations from an arbitrary set of protein conformations remains a challenge in structure‐based virtual screening (SBVS). The growth in the number of available conformations, either experimentally determined or computationally derived, obscures the situation further. While the inflated conformation space potentially contains viable druggable targets, the increase of conformational complexity, as a consequence, poses a selection problem. To address this challenge, we took advantage of machine learning methods, namely an over‐sampling and a binary classification procedure, and present a novel method to select druggable receptor conformations. Specifically, we trained a binary classifier on a set of nuclear receptor conformations, wherein each conformation was labeled with an enrichment measure for a corresponding SBVS. The classifier enabled us to formulate suggestions and identify enriching SBVS targets for six of seven nuclear receptors. Further, the classifier can be extended to other proteins of interest simply by feeding new training data sets to the classifier. Our work, thus, provides a methodology to identify pharmaceutically interesting receptor conformations for nuclear receptors and other drug targets.     

Knockouts model the 100 best-selling drugs--will they model the next 100?

The biopharmaceutical industry is currently faced with a tremendous number of potential drug targets identified through the sequencing of the human genome. The challenge ahead is to delineate those targets with the greatest value for therapeutic intervention. Here, we critically evaluate mouse-knockout technology for target discovery and validation. A retrospective evaluation of the knockout phenotypes for the targets of the 100 best-selling drugs indicates that these phenotypes correlate well with known drug efficacy, illuminating a productive path forward for discovering future drug targets. Prospective mining of the druggable genome is being catalysed by large-scale mouse knockout programs combined with phenotypic screens focused on identifying targets that modulate mammalian physiology in a therapeutically relevant manner.