Fragment-based drug discovery supports drugging ‘undruggable’ protein–protein interactions

Protein–protein interactions (PPIs) have important roles in various cellular processes, but are commonly described as ‘undruggable’ therapeutic targets due to their large, flat, featureless interfaces. Fragment-based drug discovery (FBDD) has achieved great success in modulating PPIs, with more than ten compounds in clinical trials. Here, we highlight the progress of FBDD in modulating PPIs for therapeutic development. Targeting hot spots that have essential roles in both fragment binding and PPIs provides a shortcut for the development of PPI modulators via FBDD. We highlight successful cases of cracking the ‘undruggable’ problems of PPIs using fragment-based approaches. We also introduce new technologies and future trends. Thus, we hope that this review will provide useful guidance for drug discovery targeting PPIs.     

“Targeting the absence” and therapeutic engineering for cancer therapy

The Gotham Prize was awarded to Alex Varshavsky for “Targeting the absence”, a strategy employing negative targets of cancer therapy. This is a brilliant example of therapeutic engineering: designing a sequence of events that leads to the selective killing of one type of cell, while sparing all others. A complex molecular device (Varshavsky’s Demon) examines DNA, recognizes the present target in normal cells and kills cancer cells. The strategy is limited by the delivery (transfection or infection) of DNA-based devices into each cell of our body. How can we overcome this limitation? Can therapeutic engineering be applied to small drugs? Can each small molecule reach a cell separately and, once in a cell, exert orchestrated action governed by cellular context? Here I describe how a combination of small drugs can acquire a demonic power to check, choose and selectively kill. The cytotoxicity is restricted to cells lacking (or having) one of the targets. For example, in the presence of a normal target, one drug can cancel the cytotoxic action of another drug. And by increasing a number of targets, we can increase the precision and power of such ‘restrictive’ combinations. Here I discuss restrictive combinations of currently available drugs that could be tested in clinical trials. Could then these combinations cure cancer today? And what does ‘cure’ really mean? This article suggests the answer.     

Drugging the undruggable proteins in cancer: A systems biology approach

In recent years, the research community has, with comprehensive systems biology approaches and related technologies, gained insight into the vast complexity of numerous cancers. These approaches allow an in-depth exploration that cannot be achieved solely using conventional low-throughput methods, which do not closely mimic the natural cellular environment. In this review, we discuss recent integrative multiple omics approaches for understanding and modulating previously identified ‘undruggable’ targets such as members of the RAS family, MYC, TP53, and various E3 ligases and deubiquitinases. We describe how these technologies have revolutionized drug discovery by overcoming an array of biological and technological challenges and how, in the future, they will be pivotal in assessing cancer states in individual patients, allowing for the prediction and application of personalized disease treatments.     

AlphaFold2 protein structure prediction: Implications for drug discovery

The drug discovery process involves designing compounds to selectively interact with their targets. The majority of therapeutic targets for low molecular weight (small molecule) drugs are proteins. The outstanding accuracy with which recent artificial intelligence methods compile the three-dimensional structure of proteins has made protein targets more accessible to the drug design process. Here, we present our perspective of the significance of accurate protein structure prediction on various stages of the small molecule drug discovery life cycle focusing on current capabilities and assessing how further evolution of such predictive procedures can have a more decisive impact in the discovery of new medicines.     

Challenges and solutions in proteomics

The accelerated growth of proteomics data presents both opportunities and challenges. Large-scale proteomic profiling of biological samples such as cells, organelles or biological fluids has led to discovery of numerous key and novel proteins involved in many biological/disease processes including cancers, as well as to the identification of novel disease biomarkers and potential therapeutic targets. While proteomic data analysis has been greatly assisted by the many bioinformatics tools developed in recent years, a careful analysis of the major steps and flow of data in a typical highthroughput analysis reveals a few gaps that still need to be filled to fully realize the value of the data. To facilitate functional and pathway discovery for large-scale proteomic data, we have developed an integrated proteomic expression analysis system, iProXpress, which facilitates protein identification using a comprehensive sequence library and functional interpretation using integrated data. With its modular design, iProXpress complements and can be integrated with other software in a proteomic data analysis pipeline. This novel approach to complex biological questions involves the interrogation of multiple data sources, thereby facilitating hypothesis generation and knowledge discovery from the genomic-scale studies and fostering disease diagnosis and drug development.     

‘Design,synthesis, and strategic use of small chemical probes toward identification of novel targets for drug development’

Chemical probes are essential tools used to study and modulate biological systems. Here, we describe some of the recent scientific advancement in the field of chemical biology, as well as how the advent of new technologies is redefining the criteria of ‘good’ chemical probes and influencing the discovery of valuable drug leads. In this review, we report selected examples of the usage of linkered and linker-free chemical probes for target identification, biological discovery, and general mechanistic understanding. We also discuss the promises of chemogenomics libraries in phenotypic screens, as well as the limitation of their usage to identify the modulation of new targets and biology.     

Proteases as drug targets

The effective management of AIDS with HIV protease inhibitors, or the use of angiotensin-converting enzyme inhibitors to treat hypertension, indicates that proteases do make good drug targets. On the other hand, matrix metalloproteinase (MMP) inhibitors from several companies have failed in both cancer and rheumatoid arthritis clinical trials. Mindful of the MMP inhibitor experience, this chapter explores how tractable proteases are as drug targets from a chemistry perspective. It examines the recent success of other classes of drug for the treatment of rheumatoid arthritis, and highlights the need to consider where putative targets lie on pathophysiological pathways--regardless of what kind of therapeutic entity would be required to target them. With genome research yielding many possible new drug targets, it explores the likelihood of discovering proteolytic enzymes that are causally responsible for disease processes and that might therefore make better targets, especially if they lead to the development of drugs that can be administered orally. It also considers the impact that biologics are having on drug discovery, and in particular whether biologically derived therapeutics such as antibodies are likely to significantly alter the way we view proteases as targets and the methods used to discover therapeutic inhibitors.     

The use of human tissue in drug discovery

Experiments conducted on human tissue samples are a key component of modern drug discovery programs and complement the use of animal tissue based assays in this process. Such studies can (i) enhance our understanding of disease pathophysiology, (ii) increase (or decrease) confidence that modulating the function of particular molecular targets will have therapeutic benefit (iii) allow comparison of the activities of different agents on particular mechanisms/processes and (iv) provide information on the potential safety risks associated with targets. All of this information is critical in identifying the targets that are most likely to deliver efficacious and safe medicines to address unmet clinical needs. With the introduction of new technologies, human tissue samples are also increasingly being incorporated into drug project screening cascades, including their use in high throughput assays. Improved access to human tissue would undoubtedly further extend the utility of this valuable resource in the drug discovery process.     

Using mouse forward genetics to define novel target space

Rapid advances in genomics technologies have identified a wealth of new therapeutic targets, but typically these targets are weakly validated with only circumstantial evidence to link them to human disease. The next challenge is testing gene-to-disease connections in a relevant animal model, a time-consuming and uncertain process using conventional reverse-genetic approaches such as knockout and transgenic mice. By contrast, forward genetics proceeds by measuring a physiological process that is relevant to disease, then identifying the gene products that impinge on this process. This ‘phenotype-first’ approach solves the bottleneck of target validation by using clinically relevant assays in a mammalian whole-animal system as a discovery platform. As an unbiased approach to gene discovery and validation, forward genetics will identify novel drug targets and increase the success rate of drug development.     

Analysis of large gene databases for discovery of novel therapeutic agents

During the 1980s and early 1990s the recombinant DNA revolution provided a vital source of therapeutic targets and agents for pharmaceutical research. However, during the early 1990s, it became apparent that the identification and cloning of novel human cDNAs was a rate limiting step in drug discovery and that new technological approaches were required to address the challenge. There was an increasing realisation that the new science of 'genomics', together with the associated large gene sequence databases, would provide a radically new means of generating targets. SmithKline Beecham has been at the forefront of this breakthrough in pharmaceutical research. The productivity of this strategy is illustrated by reference to our work on novel enzymes, chemokines and receptors and new approaches linking genes to pathological processes.     

Small zebrafish in a big chemical pond

The number of possible small organic molecules of different structure is virtually limitless. One of the main goals of chemical biologists is to identify, from this “chemical space”, entities that affect biological processes or systems in a specific manner. This can lead to a better understanding of the regulation and components of various biological machineries, as well as provide insights into efficacious therapeutic targets and drug candidates. However, the challenges confronting chemical biologists are multiple. How do we efficiently identify compounds that possess desirable activities without unwanted off‐target effects? Once a candidate compound has been found, how do we determine its mode of action? In this Prospects piece, we call attention to recent studies using embryonic and larval zebrafish to illustrate the breadth and depth of questions in chemical biology that may be addressed using this model, and hope that they can serve as catalysts for future investigational ideas. J. Cell. Biochem. 113: 2208–2216, 2012. © 2012 Wiley Periodicals, Inc.     

Unveiling the druggable RNA targets and small molecule therapeutics

The increasing appreciation for the crucial roles of RNAs in infectious and non-infectious human diseases makes them attractive therapeutic targets. Coding and non-coding RNAs frequently fold into complex conformations which, if effectively targeted, offer opportunities to therapeutically modulate numerous cellular processes, including those linked to undruggable protein targets. Despite the considerable skepticism as to whether RNAs can be targeted with small molecule therapeutics, overwhelming evidence suggests the challenges we are currently facing are not outside the realm of possibility. In this review, we highlight the most recent advances in molecular techniques that have sparked a revolution in understanding the RNA structure-to-function relationship. We bring attention to the application of these modern techniques to identify druggable RNA targets and to assess small molecule binding specificity. Finally, we discuss novel screening methodologies that support RNA drug discovery and present examples of therapeutically valuable RNA targets.     

Replicator Selection and the Extended Phenotype3

Adaptations are often spoken of as ‘for the good of’ some entity, but what is that entity? Groups and species are now rightly unfashionable, so what are we left with? The prevailing answer is Darwin's: ‘the individual’. Individuals clearly do not maximise their own survival so the concept of fitness had to be invented. If fitness is correctly defined in Hamilton's way as ‘inclusive fitness’ it ceases to matter whether we speak of individuals maximising their inclusive fitness or of genes maximising their survival. The two formulations are mutually inter-translatable. Yet some serious mistranslations are quoted from the literature, which have led their authors into actual biological error. The present paper blames the prevailing concentration on the individual for these errors, and advocates a reversion to the replicator as the proper focus of evolutionary attention. A gene is an obvious replicator, but there are others, and the general properties of replicators are discussed. Defenders of the individual as the unit of selection often point to the unity and integration of the genome as expressed phenotypically. This paper ends by attacking even this assumption, not by a reductionist fragmentation of the phenotype, but, on the contrary, by extending it to include more than one individual. Replicators survive by virtue of their effects on the world, and these effects are not restricted to one individual body but constitute a wider ‘extended phenotype’.     

Targeting SLC transporters: small molecules as modulators and therapeutic opportunities

Solute carrier (SLCs) transporters mediate the transport of a broad range of solutes across biological membranes. Dysregulation of SLCs has been associated with various pathologies, including metabolic and neurological disorders, as well as cancer and rare diseases. SLCs are therefore emerging as key targets for therapeutic intervention with several recently approved drugs targeting these proteins. Unlocking this large and complex group of proteins is essential to identifying unknown SLC targets and developing next-generation SLC therapeutics. Recent progress in experimental and computational techniques has significantly advanced SLC research, including drug discovery. Here, we review emerging topics in therapeutic discovery of SLCs, focusing on state-of-the-art approaches in structural, chemical, and computational biology, and discuss current challenges in transporter drug discovery.     

The use of chemical design tools to transform proteomics data into drug candidates

The Human Genome Project has fueled the massive information-driven growth of genomics and proteomics and promises to deliver new insights into biology and medicine. Since proteins represent the majority of drug targets, these molecules are the focus of activity in pharmaceutical and biotechnology organizations. In this article, we describe the processes by which computational drug design may be used to exploit protein structural information to create virtual small molecules that may become novel medicines. Experimental protein structure determination, site exploration, and virtual screening provide a foundation for small molecule generation in silico, thus creating the bridge between proteomics and drug discovery.     

Genomics in target and drug discovery

Genomics-based discovery of novel therapeutic drug targets requires the design of well-controlled biological or pharmacological experiments with experimental questions and hypotheses that relate to the therapeutic area of interest. This will aid the validation level of differentially expressed genes and hence facilitate the de-selection of the genes that are identified in microarray experiments. We here provide an example of how this approach is followed in the manipulation of human macrophage foam cells towards the discovery of novel drug targets for treatment of atherosclerosis.     

Pharmaco-proteomic analysis: application of proteomic analysis to the discovery and development of new drugs

Pharmacoproteomics may be defined as proteomics applied to the discovery of new therapeutic targets and to the study of drug effects. Proteomics is a powerful technique for analyzing the protein expression profiles in a biological system and its modifications in response to a stimulus or according to the physiological or pathophysiological states. Thus it is a technique of choice for the discovery of new drug targets. It is also an interesting approach for the study of the mode of action of treatments and preclinical drug development. This pharmacoproteomic approach may be particularly useful for the research of new molecular alterations implicated in type 2 diabetes and/or obesity and for the further characterization of existing or new drugs.     

The Rhodococcus sp. cocaine esterase: a bacterial candidate for novel pharmacokinetic-based therapies for cocaine abuse

Cocaine is a powerful central nervous stimulant and among the most abused of drugs. Despite decades of efforts, however, no effective pharmacological treatments are available against cocaine addiction or toxic effects. Classical receptor-antagonist therapeutic approaches have not yielded significant effects, although cocaine targets are well known, thus fostering development of alternative therapeutic strategies. Recent evidence indicates that a sensible approach for treatment of cocaine abuse could be to interfere with cocaine pharmacokinetics, i.e. by preventing the drug from reaching the receptors responsible for its biological effects. Administration of cocaine binding antibodies as well as catalytic antibodies and enzymes that hydrolyze cocaine represent potential alternative therapeutic approach(es). The discovery of the cocaine esterase from the strain MBI of the bacterium Rhodococcus sp. (cocE) could be a major breakthrough in this field; cocE hydrolyzes cocaine faster than any known cocaine esterase and catalytic antibody.     

A biological relativity view of the relationships between genomes and phenotypes

This article explores the relativistic principle that there is no privileged scale of causality in biology to clarify the relationships between genomes and phenotypes. The idea that genetic causes are primary views the genome as a program. Initially, that view was vindicated by the discovery of mutations and knockouts that have large and specific effects on the phenotype. But we now know that these form the minority of cases. Many changes at the genome level are buffered by robust networks of interactions in cells, tissues and organs. The ‘differential’ view of genetics therefore fails because it is too restrictive. An ‘integral’ view, using reverse engineering from systems biological models to quantify contributions to function, can solve this problem. The article concludes by showing that far from breaking the supervenience principle, downward causation requires that it should be obeyed.