Natural products biological screening and ligand-based virtual screening for the discovery of new antileishmanial agents

In the course of our research program to discover novel antileishmanial agents, a biological screening of natural products against Leishmania major promastigotes allowed the identification of a furoquinoline alkaloid (1) and a furanocoumarin (2) as new hits. Subsequently, an integrated ligand-based virtual screening approach was employed to search for new antileishmanial compounds using these naturally occurring molecules as templates. Fourteen out of 40 compounds selected from a database of about 800,000 compounds (extracted from ZINC, a free database for virtual screening) were experimentally confirmed to possess significant in vitro antileishmanial properties. The application of ligand-based virtual screening as a complementary approach to experimental natural product screening was a useful strategy to facilitate the identification of new promising lead candidates.

Synthesis and analgesic profile of conformationally constrained N-acylhydrazone analogues: Discovery of novel N-arylideneamino quinazolin-4(3H)-one compounds derived from natural safrole

In this work we reported the synthesis and evaluation of the analgesic, anti-inflammatory, and platelet anti-aggregating properties of new 3-(arylideneamino)-2-methyl-6,7-methylenedioxy-quinazolin-4 (3H)-one derivatives (3a-j), designed as conformationally constrained analogues of analgesic 1,3- benzodioxolyl-N- acylhydrazones (1) previously developed at LASSBio. Target compounds were synthesized in very good yields exploiting abundant Brazilian natural product safrole (2) as starting material. The pharmacological assays lead us to identify compounds LASSBio-1240 (3b) and LASSBio-1272 (3d) as new analgesic prototypes, presenting an antinociceptive pro. le more potent and effective than dipyrone and indomethacin used, respectively, as standards in AcOH-induced abdominal constrictions assay and in the formalin test. These results confirmed the success in the exploitation of conformation restriction strategy for identification of novel cyclic N-acylhydrazone analogues with optimized analgesic profile (C) 2009 Elsevier Ltd. All rights reserved.

Discovery of novel Trypanosoma cruzi glyceraldehyde-3-phosphate dehydrogenase inhibitors

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Molecular hybridization: A useful tool in the design of new drug prototypes

Molecular hybridization is a new concept in drug design and development based on the combination of pharmacophoric moieties of different bioactive substances to produce a new hyrid compound with improved affinity and efficacy, when compared to the parent drugs. Additionally, this strategy can results in compounds presenting modified selectivity profile, different and/or dual modes of action and reduced undesired side effects. So, in this described several example of different strategies for drug design, discovery and pharmacomodulation focused on new innovative hybrid compounds presenting analgesic, anti-inflammatory, platelet anti-aggregating, anti-infections, anticancer, cardio- and neuroactive properties.

Anti dermatophytic therapy: prospects for the discovery of new drugs from natural products

Millions of people and animals suffer from superficial infections caused by a group of highly specialized filamentous fungi, the dermatophytes, which only infect keratinized structures. With the appearance of AIDS, the incidence of dermatophytosis has increased. Current drug therapy used for these infections is often toxic, long-term, and expensive and has limited effectiveness; therefore, the discovery of new anti dermatophytic compounds is a necessity. Natural products have been the most productive source for new drug development. This paper provides a brief review of the current literature regarding the presence of dermatophytes in immunocompromised patients, drug resistance to conventional treatments and new anti dermatophytic treatments.

Therapeutisches Drug Monitoring in der ambulanten Psychopharmakotherapie

Während Therapeutisches Drug Monitoring (TDM) im klinischen Alltag der stationären Behandlung in der Psychiatrie bereits fest etabliert ist, kommt es in der ambulanten Betreuung von psychisch Kranken bislang noch selten zum Einsatz. Ziel dieser Arbeit war es zu klären, wie TDM im ambulanten Bereich eingesetzt wird, wann seine Anwendung sinnvoll ist und ob es Hinweise gibt, dass TDM zu einer besseren Psychopharmakotherapie beitragen kann. rnEine Grundvoraussetzung für den Einsatz von TDM ist die Messbarkeit des Arzneistoffes. Am Beispiel des Antipsychotikums Flupentixol wurde eine Quantifizierungsmethode entwickelt, validiert und in die Laborroutine integriert. Die neue Methode erfüllte alle nach Richtlinien vorgegebenen Anforderungen für quantitative Laboruntersuchungen. Die Anwendbarkeit in der Laborroutine wurde anhand von Untersuchungen an Patienten gezeigt. rnEine weitere Voraussetzung für eine TDM-geleitete Dosisanpassung ist die Kenntnis des therapeutischen Referenzbereiches. In dieser Arbeit wurde exemplarisch ein Referenzbereich für das Antipsychotikum Quetiapin ermittelt. Die Untersuchung verglich darüber hinaus die neu eingeführten Arzneiformulierung Quetiapin retard mit schnell freisetzendem Quetiapin. Es zeigte sich, dass die therapiebegleitenden Blutspiegelkontrollen beider Formulierungen mit der Einstellung des Blutspiegels auf den therapeutischen Bereich von 100 - 500 ng/ml die Wahrscheinlichkeit des Therapieansprechens erhöhen. Bei den verschiedenen Formulierungen musste unbedingt auf den Zeitpunkt der Blutentnahmen nach Einnahme geachtet werden.rnEs wurde eine multizentrische Querschnittsuntersuchung zur Analyse von TDM unter naturalistischen Bedingungen an ambulanten Patienten durchgeführt, und zwar in Ambulanzen, in denen TDM als fester Bestandteil der Therapieüberwachung genutzt wurde und in Ambulanzen, in denen TDM sporadisch engesetzt, bzw. neu eingeführt wurde. Nach dieser Erhebung schien die Anwendung von TDM zu einer besseren Versorgung der Patienten beizutragen. Es wurde festgestellt, dass in den Ambulanzen mit bewusster Anwendung von TDM mehr Patienten mit Blutspiegeln im therapeutischen Bereich vorkamen als in den Ambulanzen mit nur sporadisch durchgeführten Blutspiegelmessungen. Bei Letzteren betrug die mittlere Anzahl an Medikamenten pro Patient 2,8 gegenüber 2,2 in den anderen Ambulanzen, was mit höheren Nebenwirkungsraten einherging. Die Schlussfolgerung, dass das Einstellen der Blutspiegel auf den therapeutischen Bereich auch tatsächlich zu besseren Therapieeffekten führte, konnte mit der Studie nicht valide überprüft werden, da die Psychopathologie nicht adäquat abgebildet werden konnte. Eine weitere Erkenntnis war, dass das reine Messen des Blutspiegels nicht zu einer Verbesserung der Therapie führte. Eine Verbesserung der Anwendung von TDM durch die Behandler wurde nach einer Schulung festgestellt, die das Ziel hatte, die Interpretation der Blutspiegelbefunde im Kontext mit patienten- und substanzspezifischen Informationen zu verbessern. Basierend auf dieser Erfahrung wurden Arzneistoffdatenblätter für die häufigsten angewandten Antipsychotika und Antidepressiva entwickelt, um damit die ambulanten Ärzte für eine eigenständige Befundinterpretation zu unterstützen. rnEin weiterer Schwerpunkt der Untersuchungen an ambulanten Patienten war die Aufdeckung von Non-Compliance durch TDM. Ein neu entwickeltes Verfahren, durch Berechnung der Streuung der mittleren Blutspiegel, erwies sich als geeignetes Instrument zur Compliance-Kontrolle in der Clozapin-Langzeittherapie. Es war etablierten anderen Verfahren überlegen. Demnach hatten Patienten ein erhöhtes Rückfallrisiko, wenn der Variationskoeffizient von nur drei nacheinander gemessenen Blutspiegeln größer als 20 % war. Da für die Beurteilung des Variationskoeffizienten das Messen von nur drei aufeinander folgenden Blutspiegeln notwendig war, kann diese Methode leicht in den ambulanten Alltag integriert werden. Der behandelnde Arzt hat so die Möglichkeit, einen rückfallgefährdeten Patienten noch vor seiner psychopathologischen Verschlechterung zu erkennen und ihn beispielsweise durch engmaschigeres Supervidieren vor einem Rückfall zu bewahren.rnAlles in allem konnte durch die eigenen Untersuchungen an psychiatrischen Patienten, die unter naturalistischen Bedingungen behandelt wurden, gezeigt werden, wie die Voraussetzungen für die Anwendung von TDM geschaffen werden, nämlich durch die Etablierung und Validierung einer Messmethode und durch die Evaluierung eines therapeutischen Referenzbereiches und wie TDM bei adäquatem Einsatz, nach Verbesserung der Compliance und des Kenntnisstandes der behandelnden Ärzte im praktischen und theoretischen Umgang mit TDM, die Versorgung ambulanter psychiatrischer Patienten unterstützen kann.

Computational Design and Experimental Discovery of an Anti-estrogenic Peptide Derived from Alpha-Fetoprotein

Breast cancer is the most common cancer among women, and tamoxifen is the preferred drug for estrogen receptor-positive breast cancer treatment. Many of these cancers are intrinsically resistant to tamoxifen or acquire resistance during treatment. Consequently, there is an ongoing need for breast cancer drugs that have different molecular targets. Previous work has shown that 8-mer and cyclic 9-mer peptides inhibit breast cancer in mouse and rat models, interacting with an unsolved receptor, while peptides smaller than eight amino acids did not. We show that the use of replica exchange molecular dynamics predicts the structure and dynamics of active peptides, leading to the discovery of smaller peptides with full biological activity. Simulations identified smaller peptide analogues with the same conserved reverse turn demonstrated in the larger peptides. These analogues were synthesized and shown to inhibit estrogen-dependent cell growth in a mouse uterine growth assay, a test showing reliable correlation with human breast cancer inhibition.

A Data-Analytic Strategy for Protein-Biomarker Discovery: Profiling of High-Dimensional Proteomic Data for Cancer Detection

With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated data-analytic challenges in proteomics, similar to those created by microarray technologies in genetics, namely, discovery of "signature" protein profiles specific to each pathologic state (e.g., normal vs. cancer) or differential profiles between experimental conditions (e.g., treated by a drug of interest vs. untreated) from high-dimensional data. We propose a data analytic strategy for discovering protein biomarkers based on such high-dimensional mass-spectrometry data. A real biomarker-discovery project on prostate cancer is taken as a concrete example throughout the paper: the project aims to identify proteins in serum that distinguish cancer, benign hyperplasia, and normal states of prostate using the Surface Enhanced Laser Desorption/Ionization (SELDI) technology, a recently developed mass spectrometry technique. Our data analytic strategy takes properties of the SELDI mass-spectrometer into account: the SELDI output of a specimen contains about 48,000 (x, y) points where x is the protein mass divided by the number of charges introduced by ionization and y is the protein intensity of the corresponding mass per charge value, x, in that specimen. Given high coefficients of variation and other characteristics of protein intensity measures (y values), we reduce the measures of protein intensities to a set of binary variables that indicate peaks in the y-axis direction in the nearest neighborhoods of each mass per charge point in the x-axis direction. We then account for a shifting (measurement error) problem of the x-axis in SELDI output. After these pre-analysis processing of data, we combine the binary predictors to generate classification rules for cancer, benign hyperplasia, and normal states of prostate. Our approach is to apply the boosting algorithm to select binary predictors and construct a summary classifier. We empirically evaluate sensitivity and specificity of the resulting summary classifiers with a test dataset that is independent from the training dataset used to construct the summary classifiers. The proposed method performed nearly perfectly in distinguishing cancer and benign hyperplasia from normal. In the classification of cancer vs. benign hyperplasia, however, an appreciable proportion of the benign specimens were classified incorrectly as cancer. We discuss practical issues associated with our proposed approach to the analysis of SELDI output and its application in cancer biomarker discovery.

Metabolomics and its potential in drug development

Metabolomics is the global and unbiased survey of the complement of small molecules (say, <1 kDa) in a biofluid, tissue, organ or organism and measures the end-products of the cellular metabolism of both endogenous and exogenous substrates. Many drug candidates fail during Phase II and III clinical trials at an enormous cost to the pharmaceutical industry in terms of both time lost and of financial resources. The constantly evolving model of drug development now dictates that biomarkers should be employed in preclinical development for the early detection of likely-to-fail candidates. Biomarkers may also be useful in the preselection of patients and through the subclassification of diseases in clinical drug development. Here we show with examples how metabolomics can assist in the preclinical development phases of discovery, pharmacology, toxicology, and ADME. Although not yet established as a clinical trial patient prescreening procedure, metabolomics shows considerable promise in this regard. We can be certain that metabolomics will join genomics and transcriptomics in lubricating the wheels of clinical drug development in the near future.

Accelerated discovery of novel benzodiazepine ligands by experiment-guided virtual screening.

High throughput discovery of ligand scaffolds for target proteins can accelerate development of leads and drug candidates enormously. Here we describe an innovative workflow for the discovery of high affinity ligands for the benzodiazepine-binding site on the so far not crystallized mammalian GABAA receptors. The procedure includes chemical biology techniques that may be generally applied to other proteins. Prerequisites are a ligand that can be chemically modified with cysteine-reactive groups, knowledge of amino acid residues contributing to the drug-binding pocket, and crystal structures either of proteins homologous to the target protein or, better, of the target itself. Part of the protocol is virtual screening that without additional rounds of optimization in many cases results only in low affinity ligands, even when a target protein has been crystallized. Here we show how the integration of functional data into structure-based screening dramatically improves the performance of the virtual screening. Thus, lead compounds with 14 different scaffolds were identified on the basis of an updated structural model of the diazepam-bound state of the GABAA receptor. Some of these compounds show considerable preference for the α3β2γ2 GABAA receptor subtype.

Bridged bicyclic peptides as potential drug scaffolds: synthesis, structure, protein binding and stability

Double cyclization of short linear peptides obtained by solid phase peptide synthesis was used to prepare bridged bicyclic peptides (BBPs) corresponding to the topology of bridged bicyclic alkanes such as norbornane. Diastereomeric norbornapeptides were investigated by 1H-NMR, X-ray crystallography and CD spectroscopy and found to represent rigid globular scaffolds stabilized by intramolecular backbone hydrogen bonds with scaffold geometries determined by the chirality of amino acid residues and sharing structural features of β-turns and α-helices. Proteome profiling by capture compound mass spectrometry (CCMS) led to the discovery of the norbornapeptide 27c binding selectively to calmodulin as an example of a BBP protein binder. This and other BBPs showed high stability towards proteolytic degradation in serum.

Gene discovery and gene function assignment in filamentous fungi

Filamentous fungi are a large group of diverse and economically important microorganisms. Large-scale gene disruption strategies developed in budding yeast are not applicable to these organisms because of their larger genomes and lower rate of targeted integration (TI) during transformation. We developed transposon-arrayed gene knockouts (TAGKO) to discover genes and simultaneously create gene disruption cassettes for subsequent transformation and mutant analysis. Transposons carrying a bacterial and fungal drug resistance marker are used to mutagenize individual cosmids or entire libraries in vitro. Cosmids are annotated by DNA sequence analysis at the transposon insertion sites, and cosmid inserts are liberated to direct insertional mutagenesis events in the genome. Based on saturation analysis of a cosmid insert and insertions in a fungal cosmid library, we show that TAGKO can be used to rapidly identify and mutate genes. We further show that insertions can create alterations in gene expression, and we have used this approach to investigate an amino acid oxidation pathway in two important fungal phytopathogens.

The synthesis, discovery, and development of a highly promising class of microtubule stabilization agents: Curative effects of desoxyepothilones B and F against human tumor xenografts in nude mice

We have evaluated two synthetic epothilone analogues lacking the 12,13-epoxide functionality, 12,13-desoxyepothilone B (dEpoB), and 12,13-desoxyepothilone F (dEpoF). The concentrations required for 50% growth inhibition (IC50) for a variety of anticancer agents were measured in CCRF-CEM/VBL1000 cells (2,048-fold resistance to vinblastine). By using dEpoB, dEpoF, aza-EpoB, and paclitaxel, the IC50 values were 0.029, 0.092, 2.99, and 5.17 μM, respectively. These values represent 4-, 33.5-, 1,423- and 3,133-fold resistance, respectively, when compared with the corresponding IC50 in the parent [nonmultiple drug-resistant (MDR)] CCRF-CEM cells. We then produced MDR human lung carcinoma A549 cells by continuous exposure of the tumor cells to sublethal concentrations of dEpoB (1.8 yr), vinblastine (1.2 yr), and paclitaxel (1.8 yr). This continued exposure led to the development of 2.1-, 4,848-, and 2,553-fold resistance to each drug, respectively. The therapeutic effect of dEpoB and paclitaxel was also compared in vivo in a mouse model by using various tumor xenografts. dEpoB is much more effective in reducing tumor sizes in all MDR tumors tested. Analysis of dEpoF, an analog possessing greater aqueous solubility than dEpoB, showed curative effects similar to dEpoB against K562, CCRF-CEM, and MX-1 xenografts. These results indicate that dEpoB and dEpoF are efficacious antitumor agents with both a broad chemotherapeutic spectrum and wide safety margins.

The Discovery, Development, and Mechanistic Investigations of Transition Metal-Catalyzed Organic Reactions

Thesis (Ph.D.)--University of Washington, 2016-06

Discovery, structure and biological activities of the cyclotides

The cyclotides are a family of small disulfide rich proteins that have a cyclic peptide backbone and a cystine knot formed by three conserved disulfide bonds. The combination of these two structural motifs contributes to the exceptional chemical, thermal and enzymatic stability of the cyclotides, which retain bioactivity after boiling. They were initially discovered based on native medicine or screening studies associated with some of their various activities, which include uterotonic action, anti-HIV activity, neurotensin antagonism, and cytotoxicity. They are present in plants from the Rubiaceae, Violaceae and Cucurbitaccae families and their natural function in plants appears to be in host defense: they have potent activity against certain insect pests and they also have antimicrobial activity. There are currently around 50 published sequences of cyclotides and their rate of discovery has been increasing over recent years. Ultimately the family may comprise thousands of members. This article describes the background to the discovery of the cyclotides, their structural characterization, chemical synthesis, genetic origin, biological activities and potential applications in the pharmaceutical and agricultural industries. Their unique topological features make them interesting from a protein folding perspective. Because of their highly stable peptide framework they might make useful templates in drug design programs, and their insecticidal activity opens the possibility of applications in crop protection.