Combinatorial Chemical Libraries Research Articles

Screening, Deconvolution and Parallel Synthesis of Trisubstituted Piperazine and Trisubstituted 2,3-diketopierazine Libraries for the Rapid Identification of Antagonists of the Nuclear Retinoic Acid Receptor-related Orphan Receptor Gamma (RORγ)

Background: Genetic studies support a key role for RORγ and RORα in the differentiation of proinflammatory Th17 cells, and a growing body of evidence suggests a pathogenic role for Th17 in several autoimmune diseases, including MS, rheumatoid arthritis, inflammatory bowel disease, type I diabetes, and psoriasis. RORγ antagonists have been shown to suppress Th17 differentiation and delay the onset of disease in an experimental autoimmune encephalomyelitis mouse model of MS. Objective: Given the high therapeutic interest of RORγ antagonists and the promising activity of currently known ligands, small molecules with higher potency and receptor selectivity (in particular within the ROR family) are highly desirable. We used our small molecule compound library to discover, characterize, and optimize novel RORγ antagonists for the treatment of autoimmune diseases from Mixture-based Combinatorial Chemical Libraries. Methods: We screened the FIU collection of small molecule libraries (>30 million compounds) composed of 75 molecular scaffolds systematically arranged in positional scanning and scaffold ranking formats. We identified scaffolds that selectively inhibit the binding of RORγ, RORγ, and RORβ but not RORα, and others that function as antagonists of all three receptors. Results: The deconvolution of selected PS-SCL mixtures led to the identification of novel chemical entities, trisubstituted piperazine and diketopiperazine that function as RORγ antagonists. Conclusion: The screening of a large complex library led to the rapid identification of novel trisubstituted piperazine and diketopiperazine antagonists of the nuclear retinoic acid receptor-related orphan receptor gamma (RORγ).

Combinatorial discovery of antibacterials via a feature-fusion based machine learning workflow.

The discovery of new antibacterials within the vast chemical space is crucial in combating drug-resistant bacteria such as methicillin-resistant Staphylococcus aureus (MRSA). However, the traditional approach of screening the entire chemical library in an ergodic manner can be laborious and time-consuming. Machine learning-assisted screening of antibacterials alleviates the exploration effort but suffers from the lack of reliable and related datasets. To address these challenges, we devised a combinatorial library comprising over 110 000 candidates based on the Ugi reaction. A focused library was subsequently generated through uniform sampling of the entire library to narrow down the preliminary screening scale. A novel feature-fusion architecture called the latent space constraint neural network was developed which incorporated both fingerprint and physicochemical molecular descriptors to predict the antibacterial properties. This integration allowed the model to leverage the complementary information provided by these descriptors and improve the accuracy of predictions. Three lead compounds that demonstrated excellent efficacy against MRSA while alleviating drug resistance were identified. This workflow highlights the integration of machine learning with the combinatorial chemical library to expedite high-quality data collection and extensive data mining for antibacterial screening.

DIY Virtual Chemical Libraries - Novel Starting Points for Drug Discovery.

The advancement of in silico technologies such as library enumeration and synthetic feasibility prediction has made drug discovery pipelines rely more and more on virtual libraries, which provide a significantly larger pool of compounds than in-stock supplier catalogs. Virtual libraries from external sources, however, may be associated with long delivery time and high cost. In this study, we present a Do-It-Yourself (DIY) combinatorial chemistry library containing over 14 million almost completely novel products built from 1000 low-cost building blocks based on robust reactions frequently applied at medicinal chemistry laboratories. The applicability of the DIY library for various drug discovery approaches is demonstrated by extensive physicochemical property, structural diversity profiling, and the generation of focused libraries. We found that internally built DIY chemical libraries present a viable alternative of external virtual catalogs by providing access to a large number of low-cost and quickly accessible potential chemical starting points for drug discovery.

Evolution of the Selection Methods of DNA-Encoded Chemical Libraries

In the past two decades, a DNA-encoded chemical library (DEL or DECL) has emerged and has become a major technology platform for ligand discovery in drug discovery as well as in chemical biology research. Although based on a simple concept, i.e., encoding each compound with a unique DNA tag in a combinatorial chemical library, DEL has been proven to be a powerful tool for interrogating biological targets by accessing vast chemical space at a fraction of the cost of traditional high-throughput screening (HTS). Moreover, the recent technological advances and rapid developments of DEL-compatible reactions have greatly enhanced the chemical diversity of DELs. Today, DELs have been adopted by nearly all major pharmaceutical companies and are also gaining momentum in academia. However, this field is heavily biased toward library encoding and synthesis, and an underexplored aspect of DEL research is the selection methods. Generally, DEL selection is considered to be a massive binding assay conducted over an immobilized protein to identify the physical binders using the typical bind-wash-elute procedure. In recent years, we and other research groups have developed new approaches that can perform DEL selections in the solution phase, which has enabled the selection against complex biological targets beyond purified proteins. On the one hand, these methods have significantly widened the target scope of DELs; on the other hand, they have enabled the functional and potentially phenotypic assays of DELs beyond simple binding. An overview of these methods is provided in this Account.Our laboratory has been using DNA-programmed affinity labeling (DPAL) as the main strategy to develop new DEL selection methods. DPAL is based on DNA-templated synthesis; by using a known ligand to guide the target binding, DPAL is able to specifically establish a stable linkage between the target protein and the ligand. The DNA tag of the target-ligand conjugates serves as a programmable handle for protein characterization or hit compound decoding in the case of DEL selections. DPAL also takes advantage of the fast reaction kinetics of photo-cross-linking to achieve high labeling specificity and fidelity, especially in the selection of DNA-encoded dynamic libraries (DEDLs). DPAL has enabled DEL selections not only in buffer and cell lysates but also with complex biological systems, such as large protein complexes and live cells. Moreover, this strategy has also been employed in other biological applications, such as site-specific protein labeling, protein detection, protein profiling, and target identification. In the Account, we describe these methods, highlight their underlying principles, and conclude with perspectives of the development of the DEL technology.

DNA-Encoded Libraries: Hydrazide as a Pluripotent Precursor for On-DNA Synthesis of Various Azole Derivatives.

DNA-encoded combinatorial chemical library (DEL) technology, an approach that combines the power of genetics and chemistry, has emerged as an invaluable tool in drug discovery. Skeletal diversity plays a fundamental importance in DEL applications, and relies heavily on novel DNA-compatible chemical reactions. We report herein a phylogenic chemical transformation strategy using DNA-conjugated benzoyl hydrazine as a common versatile precursor in azole chemical expansion of DELs. DNA-compatible reactions deriving from the common benzoyl hydrazine precursor showed excellent functional group tolerance with exceptional efficiency in the synthesis of various azoles, including oxadiazoles, thiadiazoles, and triazoles, under mild reaction conditions. The phylogenic chemical transformation strategy provides DELs a facile way to expand into various unique chemical spaces with privileged scaffolds and pharmacophores.

Discovery of cyclic guanidine-linked sulfonamides as inhibitors of LMTK3 kinase

Lemur tyrosine kinase 3 (LMTK3) is oncogenic in various cancers. In breast cancer, LMTK3 phosphorylates and modulates the activity of estrogen receptor-α (ERα) and is essential for the growth of ER-positive cells. LMTK3 is highly expressed in ER-negative breast cancer cells, where it promotes invasion via integrin β1. LMTK3 abundance and/or high nuclear expression have been linked to shorter disease free and overall survival time in a variety of cancers, supporting LMTK3 as a potential target for anticancer drug development. We sought to identify small molecule inhibitors of LMTK3 with the ultimate goal to pharmacologically validate this kinase as a novel target in cancer. We used a homogeneous time resolve fluorescence (HTRF) assay to screen a collection of mixture-based combinatorial chemical libraries containing over 18 million compounds. We identified several cyclic guanidine-linked sulfonamides with sub-micromolar activity and evaluated their binding mode using a 3D homology model of the LMTK3 KD.

Anticancer compound XL765 as PI3K/mTOR dual inhibitor: A structural insight into the inhibitory mechanism using computational approaches.

The PI3K-AKT-mTOR pathway is often a commonly disrupted pathway in human cancer and, therefore, it is widely exploited for cancer therapy. The inhibitors for the important proteins of the pathway including PI3K and mTOR have been increasingly designed. The dual inhibitors targeting PI3K and mTOR both have proven to be more effective than those targeting single protein only. An orally-active compound XL765 is well established as PI3K/mTOR dual inhibitor and have shown in vitro and in vivo anticancer activity against a variety of cancer types and is undergoing clinical trials. The present study explored the exact binding pose and the the interactive forces holding XL765 within the active sites of PI3Kγ and mTOR using molecular docking analyses. The XL765 interacting residues of both the proteins were delineated and the degree of participation in binding was estimated by various methods. In the process, among the interacting residues of PI3Kγ, the Lys-890 and the Met-953 were recognized as the key residues involved in XL765 binding. While, in mTOR case, the Trp-2239 was recognized as the key residue playing role in the XL765 binding. In order to explore the better inhibitors, the study also generated combinatorial chemical library by modifying the scaffold considered from XL765. The virtual screening of the generated compound library led to identification of six novel promising compounds proposed as PI3K/mTOR dual inhibitors. Thus, the present work will through light on the drug inhibitory mechanism of XL765 for PI3K and mTOR, and will also assist in designing novel efficacious drug candidates.

Achieving High Affinity and Selectivity for Asymmetric Dimethylarginine by Putting a Lid on a Box.

The methylation states of Lys and Arg represent a particularly challenging set of targets to distinguish selectively in water using synthetic receptors. To date, trimethyllysine (Kme3) is the only post translational modification (PTM) of the eight possible methylation states of Lys and Arg that can be recognized selectively. Here, we report the first synthetic receptor capable of selectively recognizing asymmetric dimethylarginine (Rme2a). This was achieved by using a biased dynamic combinatorial chemistry (DCC) library to generate a receptor mimicking the 5-sided box-like shape of Rme2 reader proteins, a feature that has been hypothesized to impart selectivity. Additionally, we synthesized a thioether-linked analogue of the resulting receptor to provide a novel scaffold with maintained selectivity but greater stability. This work introduces strategies that can be applied towards achieving selectivity based on subtle differences in hydrophilic guests in aqueous solutions.

Achieving High Affinity and Selectivity for Asymmetric Dimethylarginine by Putting a Lid on a Box

AbstractThe methylation states of Lys and Arg represent a particularly challenging set of targets to distinguish selectively in water using synthetic receptors. To date, trimethyllysine (Kme3) is the only post translational modification (PTM) of the eight possible methylation states of Lys and Arg that can be recognized selectively. Here, we report the first synthetic receptor capable of selectively recognizing asymmetric dimethylarginine (Rme2a). This was achieved by using a biased dynamic combinatorial chemistry (DCC) library to generate a receptor mimicking the 5‐sided box‐like shape of Rme2 reader proteins, a feature that has been hypothesized to impart selectivity. Additionally, we synthesized a thioether‐linked analogue of the resulting receptor to provide a novel scaffold with maintained selectivity but greater stability. This work introduces strategies that can be applied towards achieving selectivity based on subtle differences in hydrophilic guests in aqueous solutions.

Axonal and Myelin Neuroprotection by the Peptoid BN201 in Brain Inflammation.

The development of neuroprotective therapies is a sought-after goal. By screening combinatorial chemical libraries using in vitro assays, we identified the small molecule BN201 that promotes the survival of cultured neural cells when subjected to oxidative stress or when deprived of trophic factors. Moreover, BN201 promotes neuronal differentiation, the differentiation of precursor cells to mature oligodendrocytes in vitro, and the myelination of new axons. BN201 modulates several kinases participating in the insulin growth factor 1 pathway including serum-glucocorticoid kinase and midkine, inducing the phosphorylation of NDRG1 and the translocation of the transcription factor Foxo3 to the cytoplasm. In vivo, BN201 prevents axonal and neuronal loss, and it promotes remyelination in models of multiple sclerosis, chemically induced demyelination, and glaucoma. In summary, we provide a new promising strategy to promote neuroaxonal survival and remyelination, potentially preventing disability in brain diseases.

Second generation DNA-encoded dynamic combinatorial chemical libraries

We present a DNA-encoded chemical library, which allows dynamic selection followed by ligation of the encoding strands. As a chemical approach to mimic the genetic recombination process of adaptive immunity, the technology led to an enhanced enrichment factor and signal-to-noise ratio compared to static libraries.

Coupling biological detection to liquid chromatography: a new tool in drug discovery.

Procedures to characterize drugs that can be obtained from plant extracts or combinatorial chemistry are tedious, and they consume considerable resources (e.g., animals) and time. Thus, we have looked for a way to streamline this process. We describe here a novel system for the pre-characterization of drugs based on liquid chromatography coupled to biological detection using perifused or perfused organs. This novel system allows the on-line detection of pharmacologically active substances in hydrosoluble mixtures from vegetal extracts or combinatorial chemistry libraries. Depending on the volume of drug solution and concentration of the samples, the procedure can work through either medium pressure liquid chromatography or HPLC, and it enables the fingerprints of drugs to be assessed based on their contractile activity on combinations of different isolated tissues. As an example, we show how the system can identify active fractions from an extract of Stevia rebaudiana Bertoni, an activity that was later associated with rebaudioside N. Coupling liquid chromatography to biological detection offers a rapid way to focus attention on active products in complex samples, mostly from hydrosoluble species, helping to considerably reduce the time and cost of the pre-characterization of drugs.

Abstract 3899: Synthetic small molecule targeting CD24-/CD44+/ALDH+ cell population inhibits cancer stem cell activities in breast cancer

Abstract Purpose of the study: Cancer stem cells (CSCs) have been described as the “seed of tumor”, and have been suggested as the driving force of tumor relapses. In this study we aimed to isolate small molecules via screening of the combinatorial chemical library. The isolated molecules bind CD24-/CD44+/ALDH+ breast cancer cell subpopulation with high selectivity and specificity. Experimental design and plan: Through the unbiased cell based chemical library screening, we identified compound candidates that specifically bind the stem-like cancer cell subpopulations in breast cancer cells and tissues. By performing in vitro, tissue and in vivo-based assessments on ligand-binding specificity and functional activities, we ensured that the isolated ligands target tumorigenic stem-like breast cell or tissue preferentially. Summary of discoveries and findings: The in vitro compound binding validations proved the specificity of the isolated compound candidates toward breast cancer cells and tissues displaying cancer stem cell properties. The compound-targeting cell populations display significantly-higher expressions of the well-known stem cell markers than the unbound cell populations. On the other hand, a series of biological and biochemical functional assays also confirmed the compound candidates exert tumor-suppression activities on breast cancer cell lines, such as slow down proliferation and reduce cell viability. More importantly, our study demonstrated that both isolated compounds have preferential selectivity and higher binding affinity to the TNBC cells and tissues, which have been reported for higher percentage of stem-like cancer cell population detected than in non-TNBC cells or tissues. Through mouse xenograft study followed by histological analysis, we further confirmed the binding specificity of the compound towards cell line models could be retained in vivo in mouse xenograft model. Conclusion: We demonstrated our ligand screening technique is able to identify synthetic compounds targeting cell subgroups or sub-populations of defined interest within one particular type of tumor. High specificity of the isolated molecules could be utilized to develop chemical probes for quantification of percentage of CSC in the tumor, which facilitates clinical evaluation of tumor relapse risk. The screening strategy also provides a new methodology in discovering novel drug targeting CSC subpopulations, not only in breast tumor, but also other types of human cancers. Funding: This project is supported by the Cancer Prevention and Research Institute of Texas (CPRIT) grant, award ID: RP150713. Citation Format: Luxi Chen, Chao Long, Kha A. Tran, Jiyong Lee. Synthetic small molecule targeting CD24-/CD44+/ALDH+ cell population inhibits cancer stem cell activities in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3899. doi:10.1158/1538-7445.AM2017-3899

Design, combinatorial synthesis and biological evaluations of novel 3-amino-1′-((1-aryl-1H-1,2,3-triazol-5-yl)methyl)-2′-oxospiro[benzo[a] pyrano[2,3-c]phenazine-1,3′-indoline]-2-carbonitrile antitumor hybrid molecules

A combinatorial chemical library of fifty-nine novel 3-amino-1′-((1-aryl-1H-1,2,3-triazol-5-yl)methyl)-2′-oxospiro[benzo[a]pyrano[2,3-c]phenazine-1,3′-indoline]-2-carbonitrile, designed as hybrid molecules of phenazine, pyran, indole and 1,2,3-triazole pharmacophores, were constructed in this study. Cytotoxic evaluation indicated that some compounds exhibited moderate cytotoxicity against HCT116, MCF7, HepG2 and A549 cancer cell lines in vitro, in which compound 36 was found to have best antiproliferative activity against the A549 cancer cell line with IC50 value of 5.4 μM. All compounds had low or no effect against L02 and HUVEC non-cancer cell lines. Compound 36 was further confirmed to mainly locate mitochondria in A549 cancer cells via laser-scanning confocal microscopy. Moreover, compound 36 was proved to increase ROS production and induce cell cycle arrest in S phase. Western blot analysis illustrated Bax/Bcl-2 ratio was increased at dose-dependent manner, and both cleaved caspase-3 and cleaved caspase-9 was enhanced by treated with compound 36. All the above evidences in vitro indicated that compound 36 might induce the apoptosis of A549 cancer cells via a mitochondria-dependent pathway.

Quantitative PCR is a Valuable Tool to Monitor the Performance of DNA-Encoded Chemical Library Selections.

Phage-display libraries and DNA-encoded chemical libraries (DECLs) represent useful tools for the isolation of specific binding molecules from large combinatorial sets of compounds. With both methods, specific binders are recovered at the end of affinity capture procedures by using target proteins of interest immobilized on a solid support. However, although the efficiency of phage-display selections is routinely quantified by counting the phage titer before and after the affinity capture step, no similar quantification procedures have been reported for the characterization of DECL selections. In this article, we describe the potential and limitations of quantitative PCR (qPCR) methods for the evaluation of selection efficiency by using a combinatorial chemical library with more than 35 million compounds. In the experimental conditions chosen for the selections, a quantification of DNA input/recovery over five orders of magnitude could be performed, revealing a successful enrichment of abundant binders, which could be confirmed by DNA sequencing. qPCR provided rapid information about the performance of selections, thus facilitating the optimization of experimental conditions.

Directed Chemical Evolution with an Outsized Genetic Code.

The first demonstration that macromolecules could be evolved in a test tube was reported twenty-five years ago. That breakthrough meant that billions of years of chance discovery and refinement could be compressed into a few weeks, and provided a powerful tool that now dominates all aspects of protein engineering. A challenge has been to extend this scientific advance into synthetic chemical space: to enable the directed evolution of abiotic molecules. The problem has been tackled in many ways. These include expanding the natural genetic code to include unnatural amino acids, engineering polyketide and polypeptide synthases to produce novel products, and tagging combinatorial chemistry libraries with DNA. Importantly, there is still no small-molecule analog of directed protein evolution, i.e. a substantiated approach for optimizing complex (≥ 10^9 diversity) populations of synthetic small molecules over successive generations. We present a key advance towards this goal: a tool for genetically-programmed synthesis of small-molecule libraries from large chemical alphabets. The approach accommodates alphabets that are one to two orders of magnitude larger than any in Nature, and facilitates evolution within the chemical spaces they create. This is critical for small molecules, which are built up from numerous and highly varied chemical fragments. We report a proof-of-concept chemical evolution experiment utilizing an outsized genetic code, and demonstrate that fitness traits can be passed from an initial small-molecule population through to the great-grandchildren of that population. The results establish the practical feasibility of engineering synthetic small molecules through accelerated evolution.

FUNGICIDE DEVELOPMENT FOR THE 21St CENTURY

Today as we move well into the second decade of the 21st Century we find ourselves at an interesting and challenging time with respect to the development of new fungicide solutions. Plant pathogens have the potential to cause significant crop losses in both pre- and post-harvest situations and fungicides remain a critical tool for protecting yield and qual- ity. The UN estimates that by 2050 the world will need 70% more food to meet projected population growth and this increase will largely need to be covered by increased efficiency of production from the current finite area of agricultural land. Fungicides will play a key role in attempting to meet this challenging goal and it is critical that industry continues to bring new solutions to market whilst maintaining the registrations of important existing chemistries. The challenges facing R&D companies engaged in this endeavour are numerous. Ever more stringent regulatory safety margins make the identification of new fungicidally active molecules which have a high probability of being registered more difficult, whilst important existing chemistries such as the triazoles face uncertainty about their long term future in certain regions of the globe. One impact of increasing regulatory complexity is that the cost of development of new actives, approximately US $256 million according to a 2010 European Crop Protection Association (ECPA) analysis, and maintenance of exist- ing registrations continues to rise. Fungicide resistance continues to be a major challenge with a real need for new novel modes of action (MOAs). This is particularly acute in the context of the potential loss of some key chemistries in the fu- ture due to regulatory challenges thus further limiting the number of effective MOAs available to growers for integration into resistance management strategies. A further challenge is the uncertainty around how the drive towards sustainable crop protection will shape the future landscape for agrochemical development along with the potential impact of climate change on the prevalence and geographic spread of plant pathogens. Sources of new leads for fungicide development include natural products, compound collections from various institutions, combinatorial chemistry libraries and competi- tor chemistry. Traditional in vivo and in vitro screening of hits and their subsequent optimisation via classical Structural Activity Relationship (SAR) testing remain and important facet of new molecule discovery although the crop protection industry has also seen the introduction of structure based design. The characteristics which must be exhibited by a new fungicide are excellent efficacy and crop selectivity, a clean toxicological and environmental profile, freedom to operate and a synthetically accessible structure which can be manufactured at scale cost effectively. Additional desirable features include physiochemical properties allowing formulation flexibility and effective redistribution in or on the target crop as well as physiological effects on the crop such as greening and drought tolerance. Combining all the above characteristics into a single molecule remains an enormous technical challenge but one we must continue to achieve if we are to meet our needs for a sustainable increase in agricultural productivity as we move towards the middle of this Century.

DNA‐Encoded Dynamic Combinatorial Chemical Libraries

Dynamic combinatorial chemistry (DCC) explores the thermodynamic equilibrium of reversible reactions. Its application in the discovery of protein binders is largely limited by difficulties in the analysis of complex reaction mixtures. DNA-encoded chemical library (DECL) technology allows the selection of binders from a mixture of up to billions of different compounds; however, experimental results often show low a signal-to-noise ratio and poor correlation between enrichment factor and binding affinity. Herein we describe the design and application of DNA-encoded dynamic combinatorial chemical libraries (EDCCLs). Our experiments have shown that the EDCCL approach can be used not only to convert monovalent binders into high-affinity bivalent binders, but also to cause remarkably enhanced enrichment of potent bivalent binders by driving their in situ synthesis. We also demonstrate the application of EDCCLs in DNA-templated chemical reactions.

DNA‐Encoded Dynamic Combinatorial Chemical Libraries

AbstractDynamic combinatorial chemistry (DCC) explores the thermodynamic equilibrium of reversible reactions. Its application in the discovery of protein binders is largely limited by difficulties in the analysis of complex reaction mixtures. DNA‐encoded chemical library (DECL) technology allows the selection of binders from a mixture of up to billions of different compounds; however, experimental results often show low a signal‐to‐noise ratio and poor correlation between enrichment factor and binding affinity. Herein we describe the design and application of DNA‐encoded dynamic combinatorial chemical libraries (EDCCLs). Our experiments have shown that the EDCCL approach can be used not only to convert monovalent binders into high‐affinity bivalent binders, but also to cause remarkably enhanced enrichment of potent bivalent binders by driving their in situ synthesis. We also demonstrate the application of EDCCLs in DNA‐templated chemical reactions.

Multivalent site-specific phage modification enhances the binding affinity of receptor ligands.

High-throughput screening of combinatorial chemical libraries is a powerful approach for identifying targeted molecules. The display of combinatorial peptide libraries on the surface of bacteriophages offers a rapid, economical way to screen billions of peptides for specific binding properties and has impacted fields ranging from cancer to vaccine development. As a modification to this approach, we have previously created a system that enables site-specific insertion of selenocysteine (Sec) residues into peptides displayed pentavalently on M13 phage as pIII coat protein fusions. In this study, we show the utility of selectively derivatizing these Sec residues through the primary amine of small molecules that target a G protein-coupled receptor, the adenosine A1 receptor, leaving the other coat proteins, including the major coat protein pVIII, unmodified. We further demonstrate that modified Sec-phage with multivalent bound agonist binds to cells and elicits downstream signaling with orders of magnitude greater potency than that of unconjugated agonist. Our results provide proof of concept of a system that can create hybrid small molecule-containing peptide libraries and open up new possibilities for phage-drug therapies.