Applications of one-bead one-compound combinatorial libraries and chemical microarrays in signal transduction research

The "one-bead-one-compound" (OBOC) combinatorial library method synthesizes millions of random compounds such that each bead displays only one compound. Bead libraries are screened, and positive beads are isolated for structure analysis. Peptide substrates and inhibitors of protein kinases, and peptide ligands for cell surface receptors have been identified using this method. A novel encoding strategy for OBOC libraries has been developed to identify peptidomimetic and small-molecule ligands that specifically interact with cellular proteins. These ligands will be tested for their effects on cell signaling and used to construct chemical microarrays for further characterization of ligand-protein interactions.     

Chemical biology approaches reveal conserved features of a C-terminal processing PDZ protease

Several proteases like the high temperature requirement A (HtrA) protein family containing internal or C-terminal PDZ domains play key roles in protein quality control in the cell envelope of Gram-negative bacteria. While several HtrA proteases have been extensively characterized, many features of C-terminal processing proteases such as tail-specific protease (Tsp) are still unknown. To fully understand these cellular control systems, individual domains need to be targeted by specific peptides acting as activators or inhibitors. Here, we describe the identification and design of potent inhibitors and activators of Tsp. Suitable synthetic substrates of Tsp were identified and served as a basis for the generation of boronic acid-based peptide inhibitors. In addition, a proteomic screen of E. coli cell envelope proteins using a synthetic peptide library was performed to identify peptides capable of amplifying Tsp's proteolytic activity. The implications of these findings for the regulation of PDZ proteases and for future mechanistic studies are discussed.     

Small-Molecule Inhibitors and Degraders Targeting KRAS-Driven Cancers

Drug resistance continues to be a major problem associated with cancer treatment. One of the primary causes of anticancer drug resistance is the frequently mutated RAS gene. In particular, considerable efforts have been made to treat KRAS-induced cancers by directly and indirectly controlling the activity of KRAS. However, the RAS protein is still one of the most prominent targets for drugs in cancer treatment. Recently, novel targeted protein degradation (TPD) strategies, such as proteolysis-targeting chimeras, have been developed to render “undruggable” targets druggable and overcome drug resistance and mutation problems. In this study, we discuss small-molecule inhibitors, TPD-based small-molecule chemicals for targeting RAS pathway proteins, and their potential applications for treating KRAS-mutant cancers. Novel TPD strategies are expected to serve as promising therapeutic methods for treating tumor patients with KRAS mutations.     

Coordinated amino acid changes in homologous protein families

In the tobamovirus coat protein family, amino acid residuesat some spatially close positions are found to be substitutedin a coordinated manner [Altschuh et al. (1987) J. Mol. Biol.,193,693]. Therefore, these positions show an identical patternof amino acid substitutions when amino acid sequences of thesehomologous proteins are aligned. Based on this principle, coordinatedsubstitutions have been searched for in three additional proteinfamilies: serine proteases, cysteine proteases and the haemoglobins.Coordinated changes have been found in all three protein familiesmostly within structurally constrained regions. This methodworks with a varying degree of success depending on the functionof the proteins, the range of sequence similarities and thenumber of sequences considered. By relaxing the criteria forresidue selection, the method was adapted to cover a broaderrange of protein families and to study regions of the proteinshaving weaker structural constraints. The information derivedby these methods provides a general guide for engineering ofa large variety of proteins to analyse structure–functionrelationships.     

Exploring protein-protein interactions with phage display

Protein–protein interactions mediate essentially all biological processes. A detailed understanding of these interactions is thus a major goal of modern biological chemistry. In recent years, genome sequencing efforts have revealed tens of thousands of novel genes, but the benefits of genome sequences will only be realized if these data can be translated to the level of protein function. While genome databases offer tremendous opportunities to expand our knowledge of protein–protein interactions, they also present formidable challenges to traditional protein chemistry methods. Indeed, it has become apparent that efficient analysis of proteins on a proteome‐wide scale will require the use of rapid combinatorial approaches. In this regard, phage display is an established combinatorial technology that is likely to play an even greater role in the future of biology. This article reviews recent applications of phage display to the analysis of protein–protein interactions. With combinatorial mutagenesis strategies, it is now possible to rapidly map the binding energetics at protein–protein interfaces through statistical analysis of phage‐displayed protein libraries. In addition, naïve phage‐displayed peptide libraries can be used to obtain small peptide ligands to essentially any protein of interest, and in many cases, these binding peptides act as antagonists or even agonists of natural protein functions. These methods are accelerating the pace of research by enabling the study of complex protein–protein interactions with simple molecular biology methods. With further optimization and automation, it may soon be possible to study hundreds of different proteins in parallel with efforts comparable to those currently expended on the analysis of individual proteins.     

Self-assembled small-molecule microarrays for protease screening and profiling

Small-molecule microarrays are attractive for chemical biology as they permit the analysis of hundreds to thousands of interactions in a highly miniaturized format. Methods to prepare small-molecule microarrays from combinatorial libraries by a self-assembly process based on the sequence-specific hybridization of peptide nucleic acid (PNA) encoded libraries to oligonucleotide arrays are presented. A systematic study of the dynamic range for multiple detection agents, including direct fluorescence of attached fluorescein and cyanine-3 dyes, antibody-mediated fluorescence amplification, and biotin-gold nanoparticle detection, demonstrated that individual PNA-encoded probes can be detected to concentrations of 10 pM on the oligonucleotide microarrays. Furthermore, a new method for parallel processing of biological samples by using gel-based separation of probes is presented. The methods presented in this report are exemplified through profiling two closely related cysteine proteases, cathepsin K and cathepsin F, across a 625-member PNA-encoded tetrapeptide acrylate library. A series of the specific cathepsin K and F inhibitors identified from the library were kinetically characterized and shown to correlate with the observed microarray profile, thus validating the described methods. Importantly, it was shown that this method could be used to obtain orthogonal inhibitors that displayed greater than tenfold selectivity for these closely related cathepsins.     

Design and synthesis of conformationally constrained cyclophilin inhibitors showing a cyclosporin-A phenotype in C. elegans

Cyclophilin A (CypA) is a member of the immunophilin family of proteins and receptor for the immunosuppressant drug cyclosporin A (CsA). Here we describe the design and synthesis of a new class of small-molecule inhibitors for CypA that are based upon a dimedone template. Electrospray mass spectrometry is utilised as an initial screen to quantify the protein affinity of the ligands. Active inhibitors and fluorescently labelled derivatives are then used as chemical probes for investigating the biological role of cyclophilins in the nematode Caenorhabditis elegans.     

Scanning Protein Surfaces with DNA-Encoded Libraries

Understanding the ligandability of a target protein, defined as the capability of a protein to bind drug-like compounds on any site, can give important stimuli to drug-development projects. For instance, inhibition of protein–protein interactions usually depends on the identification of protein surface binders. DNA-encoded chemical libraries (DELs) allow scanning of protein surfaces with large chemical space. Encoded library selection screens uncovered several protein–protein interaction inhibitors and compounds binding to the surface of G protein-coupled receptors (GPCRs) and kinases. The protein surface-binding chemotypes from DELs are predominantly chemically modified and cyclized peptides, and functional small-molecule peptidomimetics. Peptoid libraries and structural peptidomimetics have been less studied in the DEL field, hinting at hitherto less populated chemical space and suggesting alternative library designs. Roughly a third of bioactive molecules evolved from smaller, target-focused libraries. They showcase the potential of encoded libraries to identify more potent molecules from weak, for example, fragment-like, starting points.     

Plant Kunitz Inhibitors and Their Interaction with Proteases: Current and Potential Pharmacological Targets

The action of proteases can be controlled by several mechanisms, including regulation through gene expression; post-translational modifications, such as glycosylation; zymogen activation; targeting specific compartments, such as lysosomes and mitochondria; and blocking proteolysis using endogenous inhibitors. Protease inhibitors are important molecules to be explored for the control of proteolytic processes in organisms because of their ability to act on several proteases. In this context, plants synthesize numerous proteins that contribute to protection against attacks by microorganisms (fungi and bacteria) and/or invertebrates (insects and nematodes) through the inhibition of proteases in these organisms. These proteins are widely distributed in the plant kingdom, and are present in higher concentrations in legume seeds (compared to other organs and other botanical families), motivating studies on their inhibitory effects in various organisms, including humans. In most cases, the biological roles of these proteins have been assigned based mostly on their in vitro action, as is the case with enzyme inhibitors. This review highlights the structural evolution, function, and wide variety of effects of plant Kunitz protease inhibitors, and their potential for pharmaceutical application based on their interactions with different proteases.     

Functional classification of protein kinase binding sites using Cavbase

Increasingly, drug-discovery processes focus on complete gene families. Tools for analyzing similarities and differences across protein families are important for the understanding of key functional features of proteins. Herein we present a method for classifying protein families on the basis of the properties of their active sites. We have developed Cavbase, a method for describing and comparing protein binding pockets, and show its application to the functional classification of the binding pockets of the protein family of protein kinases. A diverse set of kinase cavities is mutually compared and analyzed in terms of recurring functional recognition patterns in the active sites. We are able to propose a relevant classification based on the binding motifs in the active sites. The obtained classification provides a novel perspective on functional properties across protein space. The classification of the MAP and the c-Abl kinases is analyzed in detail, showing a clear separation of the respective kinase subfamilies. Remarkable cross-relations among protein kinases are detected, in contrast to sequence-based classifications, which are not able to detect these relations. Furthermore, our classification is able to highlight features important in the optimization of protein kinase inhibitors. Using small-molecule inhibition data we could rationalize cross-reactivities between unrelated kinases which become apparent in the structural comparison of their binding sites. This procedure helps in the identification of other possible kinase targets that behave similarly in "binding pocket space" to the kinase under consideration.     

Affinity proteins and their generation

Engineered affinity proteins have, together with antibodies and antibody derivatives, become indispensable tools in many areas of life science and with an increasing number of applications. The need for high‐throughput methods for generation of these different affinity proteins is evident. Today, combinatorial protein engineering is the most successful strategy to generate novel affinity proteins of non‐immunoglobulin origin. In this approach, high‐complexity combinatorial libraries are constructed from which affinity proteins are isolated using appropriate selection methods, thus circumventing the need for detailed knowledge of the protein structure and the binding mechanism that is necessary in more rational approaches. Since the introduction of the phage display technology, several alternative selection systems have been developed for this purpose. This review presents briefly some of the more commonly used affinity proteins, and gives an overview of the different methods and challenges related to the generation of library diversity and the selection methods available for the isolation of affinity proteins with desired properties. Copyright © 2012 Society of Chemical Industry     

Activity-based probes for the study of proteases: recent advances and developments

Proteases are important targets for the treatment of human disease. Several protease inhibitors have failed in clinical trials due to a lack of in vivo specificity, indicating the need for studies of protease function and inhibition in complex, disease-related models. The tight post-translational regulation of protease activity complicates protease analysis by traditional proteomics methods. Activity-based protein profiling is a powerful technique that can resolve this issue. It uses small-molecule tools-activity-based probes-to label and analyze active enzymes in lysates, cells, and whole animals. Over the last twelve years, a wide variety of protease activity-based probes have been developed. These synthetic efforts have enabled techniques ranging from real-time in vivo imaging of protease activity to high-throughput screening of uncharacterized proteases. This Review introduces the general principles of activity-based protein profiling and describes the recent advancements in probe design and analysis techniques, which have increased the knowledge of protease biology and will aid future protease drug discovery.     

Drug design strategies for targeting G-protein-coupled receptors

G-protein-coupled receptors (GPCRs) form a large protein family that plays an important role in many physiological and pathophysiological processes. Since the sequencing of the human genome has revealed several hundred new members of this receptor family, many new opportunities for developing novel therapeutics have emerged. The increasing knowledge of GPCRs (biological target space) and their ligands (chemical ligand space) enables novel drug design strategies to accelerate the finding and optimization of GPCR leads: The crystal structure of rhodopsin provides the first three-dimensional GPCR information, which now supports homology modeling studies and structure-based drug design approaches within the GPCR target family. On the other hand, the classical ligand-based design approaches (for example, virtual screening, pharmacophore modeling, quantitative structure-activity relationship (QSAR)) are still powerful methods for lead finding and optimization. In addition, the cross-target analysis of GPCR ligands has revealed more and more common structural motifs and three-dimensional pharmacophores. Such GPCR privileged structural motifs have been successfully used by many pharmaceutical companies to design and synthesize combinatorial libraries, which are subsequently tested against novel GPCR targets for lead finding. In the near future structural biology and chemogenomics might allow the mapping of the ligand binding to the receptor. The linking of chemical and biological spaces will aid in generating lead-finding libraries, which are tailor-made for their respective receptor.     

Identification of Phenazine-Based MEMO1 Small-Molecule Inhibitors: Virtual Screening,Fluorescence Polarization Validation,and Inhibition of Breast Cancer Migration

Phosphorylation-dependent protein–protein interactions play a significant role in biological signaling pathways; therefore, small molecules that are capable of influencing these interactions can be valuable research tools and have potential as pharmaceutical agents. MEMO1 (mediator of ErbB2-cell driven motility) is a phosphotyrosine-binding protein that interacts with a variety of protein partners and has been found to be upregulated in breast cancer patients. Herein, we report the first small-molecule inhibitors of MEMO1 interactions identified through a virtual screening platform and validated in a competitive fluorescence polarization assay. Initial structure–activity relationships have been investigated for these phenazine-core inhibitors and the binding sites have been postulated using molecular dynamics simulations. The most potent biochemical inhibitor is capable of disrupting the large protein interface with a K_I of 2.7 μm . In addition, the most promising phenazine core compounds slow the migration of breast cancer cell lines in a scratch assay.     

Ahp Cyclodepsipeptides: The Impact of the Ahp Residue on the “Canonical Inhibition” of S1 Serine Proteases

S1 serine proteases are by far the largest and most diverse family of proteases encoded in the human genome. Although recent decades have seen an enormous increase in our knowledge, the biological functions of most of these proteases remain to be elucidated. Chemical inhibitors have proven to be versatile tools for studying the functions of proteases, but this approach is hampered by the limited availability of inhibitor scaffold structures with the potential to allow rapid discovery of selective, noncovalent small‐molecule protease inhibitors. The natural product class of Ahp cyclodepsipeptides is an unusual class of small‐molecule canonical inhibitors; the incorporation of protease cleavage sequences into their molecular scaffolds enables the design of specific small‐molecule inhibitors that simultaneously target the S and S′ subsites of the protease through noncovalent mechanisms. Their synthesis is tedious, however, so in this study we have investigated the relevance of the Ahp moiety for achieving potent inhibition. We found that although the Ahp residue plays an important role in inhibition potency, appropriate replacement with β‐hydroxy amino acids results in structurally less complex derivatives that inhibit serine proteases in the low micromolar range.     

Protease Substrate-Independent Universal Assay for Monitoring Digestion of Native Unmodified Proteins

Proteases are a group of enzymes with a catalytic function to hydrolyze peptide bonds of proteins. Proteases regulate the activity, signaling mechanism, fate, and localization of many proteins, and their dysregulation is associated with various pathological conditions. Proteases have been identified as biomarkers and potential therapeutic targets for multiple diseases, such as acquired immunodeficiency syndrome, cardiovascular diseases, osteoporosis, type 2 diabetes, and cancer, where they are essential to disease progression. Thus, protease inhibitors and inhibitor-like molecules are interesting drug candidates. To study proteases and their substrates and inhibitors, simple, rapid, and sensitive protease activity assays are needed. Existing fluorescence-based assays enable protease monitoring in a high-throughput compatible microtiter plate format, but the methods often rely on either molecular labeling or synthetic protease targets that only mimic the hydrolysis site of the true target proteins. Here, we present a homogenous, label-free, and time-resolved luminescence utilizing the protein-probe method to assay proteases with native and denatured substrates at nanomolar sensitivity. The developed protein-probe method is not restricted to any single protein or protein target class, enabling digestion and substrate fragmentation studies with the natural unmodified substrate proteins. The versatility of the assay for studying protease targets was shown by monitoring the digestion of a substrate panel with different proteases. These results indicate that the protein-probe method not only monitors the protease activity and inhibition, but also studies the substrate specificity of individual proteases.     

Molecular Glues: Capable Protein-Binding Small Molecules That Can Change Protein–Protein Interactions and Interactomes for the Potential Treatment of Human Cancer and Neurodegenerative Diseases

Molecular glue (MG) compounds are a type of unique small molecule that can change the protein–protein interactions (PPIs) and interactomes by degrading, stabilizing, or activating the target protein after their binging. These small-molecule MGs are gradually being recognized for their potential application in treating human diseases, including cancer. Evidence suggests that small-molecule MG compounds could essentially target any proteins, which play critical roles in human disease etiology, where many of these protein targets were previously considered undruggable. Intriguingly, most MG compounds with high efficacy for cancer treatment can glue on and control multiple key protein targets. On the other hand, a single key protein target can also be glued by multiple MG compounds with distinct chemical structures. The high flexibility of MG–protein interaction profiles provides rich soil for the growth and development of small-molecule MG compounds that can be used as molecular tools to assist in unraveling disease mechanisms, and they can also facilitate drug development for the treatment of human disease, especially human cancer. In this review, we elucidate this concept by using various types of small-molecule MG compounds and their corresponding protein targets that have been documented in the literature.     

Learning patterns in combinatorial protein libraries by Support Vector Machines

Recent advances such as directed evolution and high throughput experiments can generate recombinant protein libraries and screen them for properties of interest. However it is impractical to span the theoretical range of combinatorial library and hence predictive models using the limited experimental data are of invaluable use. In this work, we have developed a novel machine learning strategy using Support Vector Machine (SVM) to predict the folding nature of recombinant proteins from Cytochrome P450 family using available experimental data. The folding-status is determined by an empirical energy model based on pair-wise interactions. It is shown that applying similarity-kernel function to the SVM formulation enables inclusion of many body interaction terms without additional computational effort. This approach can be generalized to other recombinant families and different properties of interest. The inferences derived by analyzing the data using the new method are in agreement with published results.     

Smart Design of Small-Molecule Libraries: When Organic Synthesis Meets Cheminformatics

Synthetic chemists are always looking for new methods to maximize the diversity and complexity of small-molecule libraries. Diversity-oriented synthesis can give access to new chemotypes with high chemical diversity, exploiting complexity-generating reactions and divergent approaches. However, there is a need for new tools to drive synthetic efforts towards unexplored and biologically relevant regions of chemical space. Because the number of publicly accessible biological data will increase in the years to come, cheminformatics can represent a real opportunity to develop better chemical libraries. This minireview focuses on novel cheminformatics approaches used to design molecular scaffolds, as well as to analyze their quality, giving a perspective of them in the field of chemical biology and drug discovery through some selected case studies.