Protein Structure Similarity Clustering: Dynamic Treatment of PDB Structures Facilitates Clustering

Biomacromolecule-Assisted Screening for Reaction Discovery and Catalyst Optimization

Reaction discovery and catalyst screening lie at the heart of synthetic organic chemistry. While there are efforts at de novo catalyst design using computation/artificial intelligence, at its core, synthetic chemistry is an experimental science. This review overviews biomacromolecule-assisted screening methods and the follow-on elaboration of chemistry so discovered. All three types of biomacromolecules discussed─enzymes, antibodies, and nucleic acids─have been used as "sensors" to provide a readout on product chirality exploiting their native chirality. Enzymatic sensing methods yield both UV-spectrophotometric and visible, colorimetric readouts. Antibody sensors provide direct fluorescent readout upon analyte binding in some cases or provide for cat-ELISA (Enzyme-Linked ImmunoSorbent Assay)-type readouts. DNA biomacromolecule-assisted screening allows for templation to facilitate reaction discovery, driving bimolecular reactions into a pseudo-unimolecular format. In addition, the ability to use DNA-encoded libraries permits the barcoding of reactants. All three types of biomacromolecule-based screens afford high sensitivity and selectivity. Among the chemical transformations discovered by enzymatic screening methods are the first Ni(0)-mediated asymmetric allylic amination and a new thiocyanopalladation/carbocyclization transformation in which both C-SCN and C-C bonds are fashioned sequentially. Cat-ELISA screening has identified new classes of sydnone-alkyne cycloadditions, and DNA-encoded screening has been exploited to uncover interesting oxidative Pd-mediated amido-alkyne/alkene coupling reactions.

Scaffold Diversity Synthesis Delivers Complex, Structurally, and Functionally Distinct Tetracyclic Benzopyrones

Complexity-generating chemical transformations that afford novel molecular scaffolds enriched in sp3 character are highly desired. Here, we present a highly stereoselective scaffold diversity synthesis approach that utilizes cascade double-annulation reactions of diverse pairs of zwitterionic and non-zwitterionic partners with 3-formylchromones to generate highly complex tetracyclic benzopyrones. Each pair of annulation partners adds to the common chroman-4-one scaffold to build two new rings, supporting up to four contiguous chiral centers that include an all-carbon quaternary center. Differently ring-fused benzopyrones display different biological activities, thus demonstrating their immense potential in medicinal chemistry and chemical biology research.

A thiocyanopalladation/carbocyclization transformation identified through enzymatic screening: stereocontrolled tandem C-SCN and C-C bond formation

Herein we describe a formal thiocyanopalladation/carbocyclization transformation and its parametrization and optimization using a new elevated temperature plate-based version of our visual colorimetric enzymatic screening method for reaction discovery. The carbocyclization step leads to C-SCN bond formation in tandem with C-C bond construction and is highly stereoselective, showing nearly absolute 1,2-anti-stereoinduction (5 examples) for substrates bearing allylic substitution, and nearly absolute 1,3-syn-stereoinduction (16 examples) for substrates bearing propargylic substitution. Based upon these high levels of stereoinduction, the dependence of the 1,2-stereoinduction upon cyclization substrate geometry, and the generally high preference for the transoid vinyl thiocyanate alkene geometry, a mechanistic model is proposed, involving (i) Pd(ii)-enyne coordination, (ii) thiocyanopalladation, (iii) migratory insertion and (iv) β-elimination. Examples of transition metal-mediated C-SCN bond formation that proceed smoothly on unactivated substrates and allow for preservation of the SCN moiety are lacking. Yet, the thiocyanate functionality is of great value for biophysical chemistry (vibrational Stark effect) and medicinal chemistry (S,N-heterocycle construction). The title transformation accommodates C-, O-, N- and S-bridged substrates (6 examples), thereby providing the corresponding carbocyclic or heterocyclic scaffolds. The reaction is also shown to be compatible with a significant range of substituents, varying in steric and electronic demand, including a wide range of substituted aromatics, fused bicyclic and heterocyclic systems, and even biaryl systems. Combination of this new transformation with asymmetric allylation and Grubbs ring-closing metathesis provides for a streamlined enantio- and diastereoselective entry into the oxabicyclo[3.2.1]octyl core of the natural products massarilactone and annuionone A, as also evidenced by low temperature X-ray crystal structure determination. Utilizing this bicyclic scaffold, we demonstrate the versatility of the thiocyanate moiety for structural diversification post-cyclization. Thus, the bridging vinyl thiocyanate moiety is smoothly elaborated into a range of derivative functionalities utilizing transformations that cleave the S-CN bond, add the elements of RS-CN across a π-system and exploit the SCN moiety as a cycloaddition partner (7 diverse examples). Among the new functionalities thereby generated are thiotetrazole and sulfonyl tetrazole heterocycles that serve as carboxylate and phosphate surrogates, respectively, highlighting the potential of this approach for future applications in medicinal chemistry or chemical biology.

Chemogenomics in drug discovery: computational methods based on the comparison of binding sites

Novel computational methods for understanding relationships between ligands and all possible biological targets have emerged in recent years. Proteins are connected to each other based on the similarity of their ligands or based on the similarity of their binding sites. The assumption is that compounds sharing chemical similarity should share targets and that targets with a similar binding site should also share ligands. A large number of computational techniques have been developed to assess ligand and binding site similarity, which can be used to make quantitative predictions of the most probable biological target of a given compound. This review covers the recent advances in new computational methods for relating biological targets based on the similarity of their binding sites. Binding site comparisons are used for the prediction of their most likely ligands, their possible cross reactivity and selectivity. These comparisons can also be used to infer the function of novel uncharacterized proteins.

Use of secondary structure element information in drug design: polypharmacology and conserved motifs in protein–ligand binding and protein–protein interfaces

The structure-based design of small-molecule inhibitors of protein–ligand and protein–protein interfaces is a key component of drug discovery. The underlying protein interactions can be regarded based on structural similarity of the secondary structure elements: similarities around the binding site (‘ligand-sensing cores’) or in the protein interface (‘interface-sensing surfaces’) in otherwise unrelated proteins can be useful in predicting polypharmacology and identifying new lead structures. Even small conserved motifs can provide similar interaction patterns in proteins with a completely different fold and function. The identification of these structural similarities can help in the design of new drugs by guiding further optimization. Here, the concepts and ideas based on secondary structure element similarities and their successful applications in drug design are reviewed and discussed.

Bioactivity-guided navigation of chemical space

A central aim of biological research is to elucidate the many roles of proteins in complex, dynamic living systems; the selective perturbation of protein function is an important tool in achieving this goal. Because chemical perturbations offer opportunities often not accessible with genetic methods, the development of small-molecule modulators of protein function is at the heart of chemical biology research. In this endeavor, the identification of biologically relevant starting points within the vast chemical space available for the design of compound collections is a particularly relevant, yet difficult, task. In this Account, we present our research aimed at linking chemical and biological space to define suitable starting points that guide the synthesis of compound collections with biological relevance. Both protein folds and natural product (NP) scaffolds are highly conserved in nature. Whereas different amino acid sequences can make up ligand-binding sites in proteins with highly similar fold types, differently substituted NPs characterized by particular scaffold classes often display diverse biological activities. Therefore, we hypothesized that (i) ligand-binding sites with similar ligand-sensing cores embedded in their folds would bind NPs with similar scaffolds and (ii) selectivity is ensured by variation of both amino acid side chains and NP substituents. To investigate this notion in compound library design, we developed an approach termed biology-oriented synthesis (BIOS). BIOS employs chem- and bioinformatic methods for mapping biologically relevant chemical space and protein space to generate hypotheses for compound collection design and synthesis. BIOS also provides hypotheses for potential bioactivity of compound library members. On the one hand, protein structure similarity clustering (PSSC) is used to identify ligand binding sites with high subfold similarity, that is, high structural similarity in their ligand-sensing cores. On the other hand, structural classification by scaffold trees (for example, structural classification of natural products or SCONP), when combined with software tools like "Scaffold Hunter", enables the hierarchical structural classification of small-molecule collections in tree-like arrangements, their annotation with bioactivity data, and the intuitive navigation of chemical space. Brachiation (in a manner analogous to tree-swinging primates) within the scaffold trees serves to identify new starting points for the design and synthesis of small-molecule libraries, and PSSC may be used to select potential protein targets. The introduction of chemical diversity in compound collections designed according to the logic of BIOS is essential for the frequent identification of small molecules with diverse biological activities. The continuing development of synthetic methodology, both on solid phase and in solution, enables the generation of focused small-molecule collections with sufficient substituent, stereochemical, and scaffold diversity to yield comparatively high hit rates in biochemical and biological screens from relatively small libraries. BIOS has also allowed the identification of new ligand classes for several different proteins and chemical probes for the study of protein function in cells.

ATP competitive inhibitors of D-alanine-D-alanine ligase based on protein kinase inhibitor scaffolds

D-Alanine-D-alanine ligase (DDl) is an essential enzyme in bacterial cell wall biosynthesis and an important target for developing new antibiotics. Here, we describe a new approach to identify new inhibitor scaffolds for DDl based on similarity in the ATP binding region of different kinases and DDl. After an initial screening of several protein kinase inhibitors, we found that the Brutons's tyrosine kinase inhibitor LFM-A13, an analog of the Leflunomide metabolite A771726, inhibits DDl with a K(i) of 185 microM. A series of malononitrilamide and salicylamide derivatives of LFM-A13 has been synthesized to confirm the validity of this scaffold as an inhibitor of DDl.

Potential and limits of in silico target discovery - Case study of the search for new antimalarial chemotherapeutic targets

In medical sciences, a target is a broad concept to qualify a biological entity and/or a biological phenomenon, on which one aims to act as part of a therapy. It follows that a target can be defined as a phenotype, a biological process, a subcellular organelle, a protein or a protein domain. It also follows that a target cannot be defined independently of the type of intervention one considers implementing. In this brief review, we describe how in silico organization of genomic and post-genomic information of all partners involved in malaria (human patient, Plasmodium parasite and Anopheles vector), complying with knowledge of the disease in etiologic terms, appears as an efficient source of information not only to help selecting but also discarding target candidates. Some limitations in our capacity to explore the stored biological information, due to the current quality of genomic annotation, level of database integration, or to the performances of existing analytic and mining tools, are discussed. In silico strategies to assess the feasibility of bringing a target to a therapeutic development pipeline, in terms of target "druggability", are introduced.

Drug discovery beyond the 'rule-of-five'

Although a very useful guideline for orally bioavailable small-molecule drug design, the 'rule-of-five' (also known as 'Lipinski's rule of drug-likeness') has to some extent been overemphasized. Firstly, only 51% of all FDA-approved small-molecule drugs are both used orally and comply with the 'rule-of-five'. This does not even include the increasing number of biologicals of which several have reached 'blockbuster' status. Secondly, it does not cover natural product and semisynthetic natural product drugs, which constitute over one-third of all marketed small-molecule drugs. A more balanced and programmatic approach to drug discovery should be more productive than to rely on an overemphasis of 'rule-of-five' compliance. Rather it should consider proactively the development of parenteral drugs in parallel to oral drugs and to consider the development of therapeutic antibodies in parallel to small-molecule drugs. These are particularly relevant for efforts against 'first-in-class' and/or particularly challenging targets such as proteases and those involving protein-protein interactions. In addition, more effort should be invested in natural product research. Emerging novel technologies such as synthetic biology (genetic engineering of living organisms to produce small-molecule therapeutics) may address several challenging issues of natural product-based drug discovery including synthetic feasibility and ligand efficiency.

Recent Advances in Chemoinformatics

Chemoinformatics is a large scientific discipline that deals with the storage, organization, management, retrieval, analysis, dissemination, visualization, and use of chemical information. Chemoinformatics techniques are used extensively in drug discovery and development. Although many consider it a mature field, the advent of high-throughput experimental techniques and the need to analyze very large data sets have brought new life and challenges to it. Here, we review a selection of papers published in 2006 that caught our attention with regard to the novelty of the methodology that was presented. The field is seeing significant growth, which will be further catalyzed by the widespread availability of public databases to support the development and validation of new approaches.

Natural Product-Derived Modulators of Cell Cycle Progression and Viral Entry by Enantioselective Oxa Diels-Alder Reactions on the Solid Phase

The underlying frameworks of natural product classes with multiple biological activities can be regarded as biologically selected and prevalidated starting points in vast chemical structure space in the development of compound collections for chemical biology and medicinal chemistry research. For the synthesis of natural product-derived and -inspired compound collections, the development of enantioselective transformations in a format amenable to library synthesis, e.g., on the solid support, is a major and largely unexplored goal. We report on the enantioselective solid-phase synthesis of a natural product-inspired alpha,beta-unsaturated delta-lactone collection and its investigation in cell-based screens monitoring cell cycle progression and viral entry into cells. The screens identified modulators of both biological processes at a high hit rate. The screen for inhibition of viral entry opens up avenues of research for the identification of compounds with antiviral activity.