HIV-1 regulatory proteins: targets for novel drug development

Due to the development of HIV-1 resistance to current antiviral drugs and the known toxicity of many of these drugs, there is a clear need to identify and develop novel compounds for use in the treatment of HIV-1 infected patients. The HIV-1 regulatory proteins, Tat and Rev, are required for HIV-1 replication and therefore represent two important viral targets for drug development. Novel drugs that target these proteins would increase the number of available treatment strategies for HIV-1 infection. This could result in better combination therapies in which many different viral targets could be inhibited simultaneously, thereby decreasing the likelihood of selecting for drug-resistant viruses. This review outlines many of the ways that Tat and Rev can be targeted for drug development, describes recently reported lead compounds as inhibitors of these proteins and discusses strategies for implementing drug screens for identifying novel inhibitors.     

Optogenetics in cancer drug discovery

Introduction: The discovery and domestication of biomolecules that respond to light has taken a light of its own, providing new molecular tools with incredible spatio-temporal resolution to manipulate cellular behavior.

Areas covered: The authors herein analyze the current optogenetic tools in light of their current, and potential, uses in cancer drug discovery, biosafety and cancer biology.

Expert opinion: The pipeline from drug discovery to the clinic is plagued with drawbacks, where most drugs fail in either efficacy or safety. These issues require the redesign of the pipeline and the development of more controllable/personalized therapies. Light is, aside from inexpensive, almost harmless if used appropriately, can be directed to single cells or organs with controllable penetration, and comes in a variety of wavelengths. Light-responsive systems can activate, inhibit or compensate cell signaling pathways or specific cellular events, allowing the specific control of the genome and epigenome, and modulate cell fate and transformation. These synthetic molecular tools have the potential to revolutionize drug discovery and cancer research.     

A-kinase anchoring proteins as potential drug targets

A-kinase anchoring proteins (AKAPs) crucially contribute to the spatial and temporal control of cellular signalling. They directly interact with a variety of protein binding partners and cellular constituents, thereby directing pools of signalling components to defined locales. In particular, AKAPs mediate compartmentalization of cAMP signalling. Alterations in AKAP expression and their interactions are associated with or cause diseases including chronic heart failure, various cancers and disorders of the immune system such as HIV. A number of cellular dysfunctions result from mutations of specific AKAPs. The link between malfunctions of single AKAP complexes and a disease makes AKAPs and their interactions interesting targets for the development of novel drugs. LINKED ARTICLES This article is part of a themed section on Novel cAMP Signalling Paradigms. To view the other articles in this section visit http://dx.doi.org/10.1111/bph.2012.166.issue-2.     

Mathematical modeling for novel cancer drug discovery and development

Introduction: Mathematical modeling enables: the in silico classification of cancers, the prediction of disease outcomes, optimization of therapy, identification of promising drug targets and prediction of resistance to anticancer drugs. In silico pre-screened drug targets can be validated by a small number of carefully selected experiments.

Areas covered: This review discusses the basics of mathematical modeling in cancer drug discovery and development. The topics include in silico discovery of novel molecular drug targets, optimization of immunotherapies, personalized medicine and guiding preclinical and clinical trials. Breast cancer has been used to demonstrate the applications of mathematical modeling in cancer diagnostics, the identification of high-risk population, cancer screening strategies, prediction of tumor growth and guiding cancer treatment.

Expert opinion: Mathematical models are the key components of the toolkit used in the fight against cancer. The combinatorial complexity of new drugs discovery is enormous, making systematic drug discovery, by experimentation, alone difficult if not impossible. The biggest challenges include seamless integration of growing data, information and knowledge, and making them available for a multiplicity of analyses. Mathematical models are essential for bringing cancer drug discovery into the era of Omics, Big Data and personalized medicine.     

Matching targets for selective cancer therapy

In the absence of a single specific and essential anticancer drug target, selective anticancer effects can be achieved by hitting least two targets. By revealing matching targets and desirable properties for drug analogs, this approach could radically change the path of drug discovery.     

Colorectal cancer models for novel drug discovery

Introduction: Despite increased screening rates and advances in targeted therapy, colorectal cancer (CRC) remains the third leading cause of cancer-related mortality. CRC models that recapitulate key features of human disease are essential to the development of novel and effective therapeutics. Classic methods of modeling CRC such as human cell lines and xenograft mice, while useful for many applications, carry significant limitations. Recently developed in vitro and in vivo models overcome some of these deficiencies and thus can be utilized to better model CRC for mechanistic and translational research.

Areas covered: The authors review established models of in vitro cell culture and describe advances in organoid culture for studying normal and malignant intestine. They also discuss key features of classic xenograft models and describe other approaches for in vivo CRC research, including patient-derived xenograft, carcinogen-induced, orthotopic transplantation and transgenic mouse models. We also describe mouse models of metastatic CRC.

Expert opinion: No single model is optimal for drug discovery in CRC. Genetically engineered models overcome many limitations of xenograft models. Three-dimensional organoids can be efficiently derived from both normal and malignant tissue for large-scale in vitro and in vivo (transplantation) studies and are thus a significant advance in CRC drug discovery.     

Screening methods for influenza antiviral drug discovery

Introduction: Influenza antiviral high-throughput screens have been extensive, and yet no approved influenza antivirals have been identified through high-throughput screening. This underscores the idea that development of successful screens should focus on the exploitation of the underrepresented viral targets and novel, therapeutic host targets.

Areas covered: The authors review conventional screening applications and emerging technologies with the potential to enhance influenza antiviral discovery. Real-world examples from the authors' work in biocontained environments are also provided. Future innovations are discussed, including the use of targeted libraries, multiplexed assays, proximity-based endpoint methods, non-laboratory-adapted virus strains, and primary cells, for immediate physiological relevance and translational applications.

Expert opinion: The lack of successful anti-influenza drug discovery using high-throughput screening should not deter future efforts. Increased understanding of the functions of viral targets and host–pathogen interactions has broadened the target reservoir. Future screening efforts should focus on identifying new drugs against unexploited viral and host targets using currently developed assays, and on the development of novel, innovative assays to discover new drugs with novel mechanisms. Innovative screens must be designed to identify compounds that specifically inhibit protein–protein or protein–RNA interactions or other virus/host factor interactions that are crucial for viral replication. Finally, the use of recent viral isolates, increased biocontainment (for highly-pathogenic strains), primary cell lines, and targeted compound libraries must converge in efficient high-throughput primary screens to generate high-content, physiologically-relevant data on compounds with robust antiviral activity.     

Intrinsically disordered proteins and novel strategies for drug discovery

Introduction: There is a natural abundance of intrinsically disordered proteins or intrinsically disordered protein regions (IDPs or IDPRs), that is, biologically active proteins/regions without stable structure. Their wide functional repertoire; the ability to participate in multiple interactions; the capability to fold at binding in a template-dependent manner and their common involvement in the pathogenesis of numerous human diseases suggest that these proteins should be seriously considered as novel drug targets.

Areas covered: This article describes the major classes of ordered proteins traditionally used as drug targets and introduces the molecular mechanisms of drugs targeting ordered proteins. Furthermore, it illustrates basic ways of rational drug design for these proteins, and shows why these approaches cannot be directly used for intrinsic disorder-based drug design. Some of the new approaches utilized for finding drugs targeting IDPs/IDPRs are introduced.

Expert opinion: There is a continuing progress in the design of small molecules for IDPs/IDPRs and several small molecules are found that specifically inhibit the disorder-based interaction of IDPs with their numerous partners. It is expected that the initial studies will be extended and novel intrinsic disorder-based drug design approaches will be developed. Furthermore, putative new targets will be identified, and a better understanding of the molecular mechanisms underlying modulation of promiscuous IDP binding will be achieved.     

Bacterial DNA replication enzymes as targets for antibacterial drug discovery

Introduction: The bacterial replisome is composed of a large number of enzymes, which work in exquisite coordination to accomplish chromosomal replication. Effective inhibition inside the bacterial cell of any of the ‘essential’ enzymes of the DNA replication pathway should be detrimental to cell survival.

Areas covered: This review covers DNA replication enzymes that have been shown to have a potential for delivering antibacterial compounds or drug candidates including: type II topoisomerases, a clinically validated target family, and DNA ligase, which has yielded inhibitors with in vivo efficacy. A few of the ‘replisome’ enzymes that are structurally and functionally well characterized and have been subjects of antibacterial discovery efforts are also discussed.

Expert opinion: Identification of several essential genes in the bacterial replication pathway raised hopes that targeting these gene products would lead to novel antibacterials. However, none of these novel, single gene targets have delivered antibacterial drug candidates into clinical trials. This lack of productivity may be due to the target properties and inhibitor identification approaches employed. For DNA primase, DNA helicase and other replisome targets, with the exception of DNA ligase, the exploitation of structure for lead generation has not been tested to the same extent that it has for DNA gyrase. Utilization of structural information should be considered to augment HTS efforts and initiate fragment-based lead generation. The complex protein–protein interactions involved in regulation of replication may explain why biochemical approaches have been less productive for some replisome targets than more independently functioning targets such as DNA ligase or DNA gyrase.     

Developments with 3D bioprinting for novel drug discovery

ABSTRACT

Introduction: Although there have been significant contributions from the pharmaceutical industry to clinical practice, several diseases remain unconquered, with the discovery of new drugs remaining a paramount objective. The actual process of drug discovery involves many steps including pre-clinical and clinical testing, which are highly time- and resource-consuming, driving researchers to improve the process efficiency. The shift of modelling technology from two-dimensions (2D) to three-dimensions (3D) is one of such advancements. 3D Models allow for close mimicry of cellular interactions and tissue microenvironments thereby improving the accuracy of results. The advent of bioprinting for fabrication of tissues has shown potential to improve 3D culture models.

Areas covered: The present review provides a comprehensive update on a wide range of bioprinted tissue models and appraise them for their potential use in drug discovery research.

Expert opinion: Efficiency, reproducibility, and standardization are some impediments of the bioprinted models. Vascularization of the constructs has to be addressed in the near future. While much progress has already been made with several seminal works, the next milestone will be the commercialization of these models after due regulatory approval.     

G protein-coupled receptors: novel targets for drug discovery in cancer

G protein-coupled receptors (GPCRs) belong to a superfamily of cell surface signalling proteins that have a pivotal role in many physiological functions and in multiple diseases, including the development of cancer and cancer metastasis. Current drugs that target GPCRs - many of which have excellent therapeutic benefits - are directed towards only a few GPCR members. Therefore, huge efforts are currently underway to develop new GPCR-based drugs, particularly for cancer. We review recent findings that present unexpected opportunities to interfere with major tumorigenic signals by manipulating GPCR-mediated pathways. We also discuss current data regarding novel GPCR targets that may provide promising opportunities for drug discovery in cancer prevention and treatment.     

微生物基因组上药物作用靶位的识别

在基因组时代 ,开发抗微生物的新药离不开基因组研究 ,基因组测序和生物信息学的迅猛发展使得微生物基因组上药物作用靶位的识别成为可能 ,并将使得细菌、真菌和寄生虫等对抗生素的耐药性成为过去。本文综述了应用基因组信息技术识别微生物基因组上药物作用靶位的方法和进展     

Aquaporins as targets for drug discovery

Over the past decade, significant advances have been made in understanding how water moves in to and out of cells. Investigators have used molecular and structural biological techniques to show that nature has evolved specialized water-conducting proteins called aquaporins, which traverse biological membranes in the cells of animals, plants and even bacteria. It is becoming increasingly clear that these aquaporins have fundamental roles in normal human physiology and pathophysiology. Consequently, aquaporins are attractive targets for the development of novel drug therapies for disorders that involve aberrant water movement, such as edema and kidney disease.     

Aquaporins as targets for drug discovery

The intracellular hydric balance is an essential process of mammalian cells. The water movement across cell membranes is driven by osmotic and hydrostatic forces and the speed of this process is dependent on the presence of specific aquaporin water channels. Since the molecular identification of the first water channel, AQP1, by Peter Agre's group, 13 homologous members have been found in mammals with varying degree of homology. The fundamental importance of these proteins in all living cells is suggested by their genetic conservation in eukaryotic organisms through plants to mammals. A number of recent studies have revealed the importance of mammalian AQPs in both physiology and pathophysiology and have suggested that pharmacological modulation of aquaporins expression and activity may provide new tools for the treatment of variety of human disorders, such as brain edema, glaucoma, tumour growth, congestive heart failure and obesity in which water and small solute transport may be involved. This review will highlight the physiological role and the pathological involvement of AQPs in mammals and the potential use of some recent therapeutic approaches, such as RNAi and immunotherapy, for AQP-related diseases. Furthermore, strategies that can be developed for the discovery of selective AQP-drugs will be introduced and discussed.     

Identifying targets for drug discovery using bioinformatics

Background: Drug discovery is the process of discovering and designing drugs, which includes target identification, target validation, lead identification, lead optimization and introduction of the new drugs to the public. This process is very important, involving analyzing the causes of the diseases and finding ways to tackle them. Objective: The problems we must face include: i) that this process is so long and expensive that it might cost millions of dollars and take a dozen years; and ii) the accuracy of identification of targets is not good enough, which in turn delays the process. Introducing bioinformatics into the drug discovery process could contribute much to it. Bioinformatics is a booming subject combining biology with computer science. It can explore the causes of diseases at the molecular level, explain the phenomena of the diseases from the angle of the gene and make use of computer techniques, such as data mining, machine learning and so on, to decrease the scope of analysis and enhance the accuracy of the results so as to reduce the cost and time. Methods: Here we describe recent studies about how to apply bioinformatics techniques in the four phases of drug discovery, how these techniques improve the drug discovery process and some possible difficulties that should be dealt with. Results: We conclude that combining bioinformatics with drug discovery is a very promising method although it faces many problems currently.