Recent Advances in Physicochemical and ADMET Profiling in Drug Discovery

The drastic increase in the cost for discovering and developing a new drug along with the high attrition rate of development candidates led to shifting drug‐discovery strategy to parallel assessment of comprehensive drug physicochemical, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties alongside efficacy. With the proposal of a profiling paradigm and utilization of integrated risk assessment, one can exponentially enhance the predictive power of in vitro tools by taking into consideration the interplay among profiling parameters. In particular, this article will review recent advances in accurate assessment of solubility and other physicochemical parameters. The proper interpretation of these experimental data is crucial for rapid and meaningful risk assessment and rational optimization of drug candidates in drug discovery. The impact of these tools on assisting drug‐discovery teams in establishing in vitro–in vivo correlation (IVIVC) as well as structure–property relationship (SPR) will be presented.     

Chalcone derivatives and their antibacterial activities: Current development

The increase in antibiotic resistance due to various factors has encouraged the look for novel compounds which are active against multidrug-resistant pathogens. In this framework, chalcone-based compounds showed a diversity of pharmacological properties, and its derivatives possess a high degree of structural diversity, and it is helpful for the discovery of new therapeutic agents. The growing resistance to antibiotics worldwide has endangered their efficacy. This has led to a surging interest in the discovery of new antibacterial agents. Thus, there is an urgent need for new antibacterial drug candidates with increased strength, new targets, low cost, superior pharmacokinetic properties, and minimum side effects. The present review concluded and focuses on the recent developments in the area of medicinal chemistry to explore the diverse chemical structures of potent antibacterial agents and also describes its structure-activity relationships studies. The various synthetic structures leading to this class of neutral protective compound is common and additional structural optimization is promising for potential drug discovery and development.     

Pharmacokinetic de-risking tools for selection of monoclonal antibody lead candidates

Pharmacokinetic studies play an important role in all stages of drug discovery and development. Recent advancements in the tools for discovery and optimization of therapeutic proteins have created an abundance of candidates that may fulfill target product profile criteria. Implementing a set of in silico, small scale in vitro and in vivo tools can help to identify a clinical lead molecule with promising properties at the early stages of drug discovery, thus reducing the labor and cost in advancing multiple candidates toward clinical development. In this review, we describe tools that should be considered during drug discovery, and discuss approaches that could be included in the pharmacokinetic screening part of the lead candidate generation process to de-risk unexpected pharmacokinetic behaviors of Fc-based therapeutic proteins, with an emphasis on monoclonal antibodies.     

Applications of high-throughput ADME in drug discovery

Assessment of physicochemical and pharmacological properties is now conducted at very early stages of drug discovery for the purpose of accelerating the conversion of hits and leads into qualified development candidates. In particular, in vitro absorption, distribution, metabolism and elimination (ADME) assays and in vivo drug metabolism pharmacokinetic (DMPK) studies are being conducted throughout the discovery process, from hit generation through to lead optimization, with the goal of reducing the attrition rate of these potential drug candidates as they progress through development. Because the continuing trend in drug discovery has been to access ADME information earlier and earlier in the discovery process, the need has arisen within the analytical community to introduce faster and better analytical methods to enhance the 'developability' of drug leads. Strategies for streamlined ADME assessment of drug candidates in discovery and pre-clinical development are presented within.     

Harnessing phage and ribosome display for antibody optimisation

Therapeutic antibodies have become a major driving force for the biopharmaceutical industry; therefore, the discovery and development of safe and efficacious antibody leads have become competitive processes. Phage and ribosome display are ideal tools for the generation of such molecules and have already delivered an approved drug as well as a multitude of clinical candidates. Because they are capable of searching billions of antibody variants in tailored combinatorial libraries, they are particularly applicable to potency optimisation. In conjunction with targeted, random or semi-rational mutagenesis strategies, they deliver large panels of potent antibody leads. This review introduces the two technologies, compares them with respect to their use in antibody optimisation and highlights how they can be exploited for the successful and efficient generation of putative drug candidates.     

Productivity and Quality of Recombinant Proteins Produced by Stable CHO Cell Clones can be Predicted by Transient Expression in HEK Cells

Selection of lead candidates in drug discovery is a complex and time-consuming process. Here, we describe an approach that allows prediction of the productivity and quality of recombinant proteins by stable producer cell clones with the help of transient transfection studies. This is exemplified for three distinct bispecific T cell engager (BiTE^®)—a new class of single-chain antibody-based therapeutics showing very promising results in the treatment of cancer. BiTE^® titers of transiently transfected HEK cells showed a striking correlation with titers of selected stable CHO cell clones. Likewise, the percentage of the monomeric BiTE^® fraction in cell culture supernatants correlated well between transiently expressing HEK and stably expressing CHO cell clones. This validates the use of transient transfection studies for the selection of biopharmaceutical lead candidates with desired pharmaceutical properties.     

Biopharmaceutical drug discovery using novel protein scaffolds

In recent years, biopharmaceutical drug products have become hugely successful. However, they are often complex molecules that are expensive to manufacture. Commercial needs for cost-effective therapies have therefore led to the development of novel protein scaffold technologies that are increasingly being used for biopharmaceutical drug discovery. Major new scaffolds include single-domain antibodies, small modular immunopharmaceuticals, tetranectins, AdNectins, A-domain proteins, lipocalins and ankyrin repeat proteins. These scaffolds offer low-cost alternatives to classical antibody therapeutic strategies and some have shown early clinical promise. Further progress in the field will permit the commercially successful development of sophisticated protein therapeutics against complex disease targets.     

Bacterial display in combinatorial protein engineering

Technologies for display of recombinant protein libraries are today essential tools in many research-intensive fields, such as in the drug discovery processes of biopharmaceutical development. Phage display is still the most widely used method, but alternative systems are available and are becoming increasingly popular. The most rapidly expanding of the alternative systems are the cell display-based technologies, offering innovative strategies for selection and characterization of affinity proteins. Most investigations have focused on eukaryotic yeast for display of protein libraries, but similar systems are also being developed using prokaryotic hosts. This review summarizes the field of bacterial surface display with a strong emphasis on library applications for generation of new affinity proteins. The main focus will be on the most recent progress of the work on primarily Escherichia coli, but also on studies using a recently developed system for display on Gram-positive Staphylococcus carnosus. In addition, general strategies for combinatorial protein engineering using cell display are discussed along with the latest developments of new methodologies with comparisons to mainly phage display technology.     

High-throughput human metabolism and toxicity analysis

Poor drug candidate safety profiles are often identified late in the drug development process, manifesting themselves in the preclinical and clinical phases and significantly contributing to the high cost and low yield of drug discovery. As a result, new tools are needed to accelerate the assessment of drug candidate toxicity and human metabolism earlier in the drug development process, from primary drug candidate screening to lead optimization. Although high-throughput screens exist for much of the discovery phase of drug development, translating such screening techniques into platforms that can accurately mimic the human in vivo response and predict the impact of drug candidates on human toxicology has proven difficult. Nevertheless, some success has been achieved in recent years, which may ultimately yield widespread acceptance in the pharmaceutical industry.     

Functional Module Connectivity Map (FMCM): A Framework for Searching Repurposed Drug Compounds for Systems Treatment of Cancer and an Application to Colorectal Adenocarcinoma

Drug repurposing has become an increasingly attractive approach to drug development owing to the ever-growing cost of new drug discovery and frequent withdrawal of successful drugs caused by side effect issues. Here, we devised Functional Module Connectivity Map (FMCM) for the discovery of repurposed drug compounds for systems treatment of complex diseases, and applied it to colorectal adenocarcinoma. FMCM used multiple functional gene modules to query the Connectivity Map (CMap). The functional modules were built around hub genes identified, through a gene selection by trend-of-disease-progression (GSToP) procedure, from condition-specific gene-gene interaction networks constructed from sets of cohort gene expression microarrays. The candidate drug compounds were restricted to drugs exhibiting predicted minimal intracellular harmful side effects. We tested FMCM against the common practice of selecting drugs using a genomic signature represented by a single set of individual genes to query CMap (IGCM), and found FMCM to have higher robustness, accuracy, specificity, and reproducibility in identifying known anti-cancer agents. Among the 46 drug candidates selected by FMCM for colorectal adenocarcinoma treatment, 65% had literature support for association with anti-cancer activities, and 60% of the drugs predicted to have harmful effects on cancer had been reported to be associated with carcinogens/immune suppressors. Compounds were formed from the selected drug candidates where in each compound the component drugs collectively were beneficial to all the functional modules while no single component drug was harmful to any of the modules. In cell viability tests, we identified four candidate drugs: GW-8510, etacrynic acid, ginkgolide A, and 6-azathymine, as having high inhibitory activities against cancer cells. Through microarray experiments we confirmed the novel functional links predicted for three candidate drugs: phenoxybenzamine (broad effects), GW-8510 (cell cycle), and imipenem (immune system). We believe FMCM can be usefully applied to repurposed drug discovery for systems treatment of other types of cancer and other complex diseases.     

生物医药关键技术发展趋势

近年来,生物医药研究人员正在药物的设计、发现、试验、制备,以及检测技术、其他诸如纳米、信息、光学等高技术的融合应用方面致力于更新观念的研究开发,并已取得众多突破,在相关领域形成新的技术趋势。在药物设计方面,随着遗传信息方面的研究进展越来越快,核酸为靶的药物设计已成为新的热点;在疫苗方面,基因疫苗的研制已成为新方向,其技术应用趋向可调控、更安全、更高效生产等,科研人员同时还致力于解决基因疫苗的安全性;在治疗方面,抗体工程和组织工程分别成为药物治疗和组织器官再造的热点;新型药物输送技术正成为业界追逐的目标,药物传输公司正在开发多技术平台,提高药物的效能,减少不良反应和降低成本;药物安全问题已在全球范围内达成共识,美、英、日、欧盟等国均在积极开展药物安全性方面的研究,开发药物安全监测系统;疾病诊断与检测的新技术表现为更高效、准确、快速、早期的趋势,科研人员同时还致力于降低诊断检测产品的价格,以使更多人受益;IT技术、光电技术、纳米技术等新技术正被积极应用于生物医药领域,为大型制药公司和生物技术公司提供药物发现、设计、毒性研究等更新途径的新技术系统。     

Stability Challenges in Drug Discovery

Stability is one of the most important properties of drug candidates. Instable compounds can lead to false positive high‐throughput screening (HTS) hits, incorrect bioassay results, erroneous structure–activity relationships (SAR), low oral bioavailability, drug withdrawal, toxic reactions from degradation products, and difficult formulation development. Screening of stability has been implemented early in drug discovery to identify labile chemotypes and guide structural modification. The most commonly applied stability studies in drug discovery are stability–pH profile, stability in gastrointestinal fluids, stability in bioassay media, excipient compatibility, and prodrug screening. The strategy enhances the quality of drug development candidates and reduces the risks.     

Structural proteomics in drug discovery

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.     

Structural proteomics in drug discovery

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.     

Docking, virtual high throughput screening and in silico fragment-based drug design

The drug discovery process has been profoundly changed recently by the adoption of computational methods helping the design of new drug candidates more rapidly and at lower costs. In silico drug design consists of a collection of tools helping to make rational decisions at the different steps of the drug discovery process, such as the identification of a biomolecular target of therapeutical interest, the selection or the design of new lead compounds and their modification to obtain better affinities, as well as pharmacokinetic and pharmacodynamic properties. Among the different tools available, a particular emphasis is placed in this review on molecular docking, virtual high-throughput screening and fragment-based ligand design.     

Drug repositioning for orphan diseases

The need and opportunity to discover therapeutics for rare or orphan diseases are enormous. Due to limited prevalence and/or commercial potential, of the approximately 6000 orphan diseases (defined by the FDA Orphan Drug Act as <200 000 US prevalence), only a small fraction (5%) is of interest to the biopharmaceutical industry. The fact that drug development is complicated, time-consuming and expensive with extremely low success rates only adds to the low rate of therapeutics available for orphan diseases. An alternative and efficient strategy to boost the discovery of orphan disease therapeutics is to find connections between an existing drug product and orphan disease. Drug Repositioning or Drug Repurposing--finding a new indication for a drug--is one way to maximize the potential of a drug. The advantages of this approach are manifold, but rational drug repositioning for orphan diseases is not trivial and poses several formidable challenges--pharmacologically and computationally. Most of the repositioned drugs currently in the market are the result of serendipity. One reason the connection between drug candidates and their potential new applications are not identified in an earlier or more systematic fashion is that the underlying mechanism 'connecting' them is either very intricate and unknown or indirect or dispersed and buried in an ever-increasing sea of information, much of which is emerging only recently and therefore is not well organized. In this study, we will review some of these issues and the current methodologies adopted or proposed to overcome them and translate chemical and biological discoveries into safe and effective orphan disease therapeutics.     

Functional assays for screening GPCR targets

G-protein-coupled receptors (GPCRs) are valuable molecular targets for drug discovery. An important aspect of the early drug discovery process is the design and implementation of high-throughput GPCR functional assays that allow the cost-effective screening of large compound libraries to identify novel drug candidates. Several functional assay kits based on fluorescence and/or chemiluminescence detection are commercially available for convenient screen development, each having advantages and disadvantages. In addition, new GPCR biosensors and high-content imaging technologies have recently been developed that hold promise for the development of functional GPCR screens in living cells.     

无细胞蛋白表达体系研究进展及在生物制药领域中的应用

作为一种快速高效的体外蛋白合成手段,无细胞蛋白表达体系(Cell-free Protein Synthesis,CFPS)一直以来就被广泛应用于基础生物学领域的研究。与传统的基于细胞的体内表达体系相比,CFPS突破了细胞的生理限制,其可调控性强、对毒性蛋白的耐受力高,使得许多很难在体内合成的复杂蛋白在体外顺利表达。近年来随着研究人员不断对CFPS进行优化,通过简化制备工艺、开发价格低廉的能量再生系统、稳定底物供应、促进蛋白正确折叠等方式,成功研发出生产效率高、成本低廉、反应体积大的表达体系。凭借其高通量和大规模的蛋白表达优势,CFPS为解决生物制药领域中面临的难题提供了新的解决思路,并成功地应用于高通量药物筛选、大规模生产重组蛋白药物、个体化定制肿瘤疫苗等领域,显示出其在生物制药领域的重要应用潜力。     

Current status and future prospects for ion-mobility mass spectrometry in the biopharmaceutical industry

Detailed characterization of protein reagents and biopharmaceuticals is key in defining successful drug discovery campaigns, aimed at bringing molecules through different discovery stages up to development and commercialization. There are many challenges in this process, with complex and detailed analyses playing paramount roles in modern industry.Mass spectrometry (MS) has become an essential tool for characterization of proteins ever since the onset of soft ionization techniques and has taken the lead in quality assessment of biopharmaceutical molecules, and protein reagents, used in the drug discovery pipeline. MS use spans from identification of correct sequences, to intact molecule analyses, protein complexes and more recently epitope and paratope identification.MS toolkits could be incredibly diverse and with ever evolving instrumentation, increasingly novel MS-based techniques are becoming indispensable tools in the biopharmaceutical industry. Here we discuss application of Ion Mobility MS (IMMS) in an industrial setting, and what the current applications and outlook are for making IMMS more mainstream.