917 resultados para New drugs


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A biodiversidade brasileira abrange plantas de importância medicinal que podem ser utilizadas na formulação de novos fármacos. Contudo, tem sido reduzida em velocidade alarmante, em função de diferentes ações antrópicas. A cultura de tecidos vegetais propicia a conservação e uso do germoplasma permitindo a obtenção de substâncias de importância medicinal. As leishmanioses são consideradas um problema de saúde pública mundial sendo a espécie Leishmania braziliensis de maior importância epidemiológica no Brasil. Recentemente tem-se registrado aumento da resistência à linha de tratamento usual. Do mesmo modo, o uso indiscriminado de antibióticos levou ao aumento de bactérias multirresistentes, que representam sério risco de infecção. A espécie Annona mucosa (Jacq.) possui substâncias, como acetogeninas e alcaloides, que apresentam atividades antiparasitária e antimicrobiana. Nesse sentido, o objetivo do trabalho foi avaliar o potencial leishmanicida e antibacteriano de extratos de A. mucosa de material produzido in vitro e in vivo. Foi proposto um protocolo de germinação in vitro, ainda não reportada para a espécie, com vistas à obtenção de plântulas axênicas. Em meio WPM foram cultivados explantes hipocotiledonares e foliares em meio MS, suplementados com PIC e diferentes concentrações de KIN, BAP ou TDZ. Os calos obtidos foram cultivados em meio líquido de mesma composição para a produção de suspensões celulares. Os materiais foram submetidos à extração metanólica e posterior fracionamento em hexano e diclorometano. Para a avaliação da atividade dos extratos sobre L. braziliensis foi usado o modelo in vitro, com a forma promastigota, e in vivo na forma amastigota, a partir do tratamento de macrófagos peritoneais de camundongos infectados com o parasito. Ambas as formas foram tratadas com os extratos por 96 e 48h, respectivamente. A atividade antimicrobiana foi avaliada por macrodiluição do extrato em Mueller-Hinton, sendo avaliado o crescimento das cepas após 16h de incubação a 48C. A germinação in vitro da espécie foi alcançada em substrato vermiculita estéril umedecido com solução de sais do meio MS, com taxa média de 85%. A maior produção de calos friáveis foi obtida em meios contendo KIN, com potencial uso para cultivo em suspensões celulares. Os extratos do material in situ e in vitro apresentaram atividade leishmanicida, apesar da toxicidade para macrófagos. Culturas de células em suspensão apresentaram potencial leishmanicida in vitro e redução da infecção em macrófagos. Os extratos do material avaliado apresentaram atividade antimicrobiana seletiva, com inibição do crescimento de Streptococcus pyogenes e Bacillus thurigiensis em diferentes concentrações avaliadas. Os métodos biotecnológicos empregados permitiram a obtenção de materiais com propriedades medicinais para as atividades leishmanicida e antibacteriana, assim como o material in vivo, constituindo este estudo o primeiro relato para as atividades propostas em A. mucosa.

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Os recifes de corais são ecossistemas diversos com alta densidade de biodiversidade, o que leva a intensa competição entre as espécies. Estas espécies podem produzir substâncias desconhecidas, muitas com valor farmacológico. Chromonephthea braziliensis é um coral mole invasor, originário do Oceano Indo-Pacífico, que foi possivelmente transportado por plataformas de petróleo e cuja presença é uma ameaça para a biodiversidade da região de Arraial do Cabo (RJ). Esta espécie produz metabólitos secundários que são responsáveis pela indução de danos para o ecossistema local. A finalidade deste estudo é a busca de novas substâncias para quimioterapia geral com base na estrutura de compostos bioativos. Extratos desse coral foram preparados a partir de colônias liofilizadas (solventes: hexano, diclorometano, acetato de etila e metanol). Realizaram-se análises químicas para a caracterização dos extratos e avaliaram-se as atividades: mutagênicas e citotóxicas, usando o ensaio de mutação reversa bacteriana (Salmonella/microssoma) com as linhagens TA97, TA98, TA100 e TA102; genotóxicas, utilizando análise da quebra do DNA e formação de micronúcleos na linhagem RAW 264,7 de macrófagos e; tóxicas para náuplios de microcrustáceos Artemia salina. Observou-se citotoxicidade, na presença de S9 mix, dos extratos diclorometano para a linhagem TA102 na concentração de 20 g/100 L/placa e metanol para a TA97 com 5 e 20 g/100 L/placa. Os extratos diclorometano, acetato de etila e metanol apresentaram genotoxicidade no DNA plasmidial em concentrações elevadas (250 g/mL), mas nenhum dano ao DNA foi observado no ensaio de micronúcleo. Todos os extratos foram tóxicos para os náuplios de microcrustáceos em pelo menos uma das concentrações usadas (0,01 1000 g/mL), e a LC50 pode ser determinada apenas para os extratos hexano, diclorometano e acetato de etila.

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Novos protótipos de fármacos estão constantemente a ser sintetizados e muitas estruturas cristalinas de outros ainda são desconhecidas. Tão importante quanto o planejamento e síntese de novos fármacos é a sua caracterização estrutural, uma vez que a sua estrutura (conformação) pode estar diretamente relacionada com a ação terapêutica. O uso da difração de raios X tem sido muito importante na determinação estrutural dos novos compostos sintetizados. Neste trabalho foi feita a determinação da estrutura de LASSBio-1755 com os dados de difração de raios X por policristais. Este composto foi sintetizado no Laboratório de Avaliação e Síntese de Substâncias Bioativas (LASSBio) da Universidade Federal do Rio de Janeiro. O composto LASSBio-1755 pertence a uma nova série de compostos cicloalquil-N-acilidrazônicos planejados para o desenvolvimento de protótipos com atividades antinociceptiva e anti-inflamatórios. Este composto cristalizou-se num sistema triclínico com grupo espacial (P ), com parâmetros de cela unitária a = 4,86647(9) Å, b = 9,3108(2) Å, c = 11,3402(2) Å, α = 106,649(1), β = 101,958(1), γ = 82,629(2) e V = 480,30(2) Å3. A estrutura cristalina de LASSBio-1755 consiste em duas fórmulas unitárias por cela unitária (Z = 2), acomodando uma molécula na unidade assimétrica (Z' = 1). O Método de Rietveld foi utilizado para refinar a estrutura cristalina e o indicador de qualidade do ajuste, bem como os fatores R foram, respectivamente: χ2 = 1,131, RBragg = 0,856%, Rwp =4,174% e o Rexp= 3,692%. As técnicas de calorimetria exploratória diferencial, termogravimetria e espectroscopia no infravermelho por transformada de Fourier também foram utilizadas para análise do composto LASSBio-1755 e os seus resultados corroboraram com os obtidos através da técnica de difração de raios X por policristais.

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Five models for human interleukin-7 (HIL-7), HIL-9, HIL-13, HIL-15 and HIL-17 have been generated by SYBYL software package. The primary models were optimized using molecular dynamics and molecular mechanics methods. The final models were optimized using a steepest descent algorithm and a subsequent conjugate gradient method. The complexes with these interleukins and the common gamma chain of interleukin-2 receptor (IL-2R) were constructed and subjected to energy minimization. We found residues, such as Gln127 and Tyr103, of the common gamma chain of IL-2R are very important. Other residues, e.g. Lys70, Asn128 and Glu162, are also significant. Four hydrophobic grooves and two hydrophilic sites converge at the active site triad of the gamma chain. The binding sites of these interleukins interaction with the common gamma chain exist in the first helical and/or the fourth helical domains. Therefore, we conclude that these interleukins binds to the common gamma chain of IL-2R by the first and the fourth helix domain. Especially at the binding sites of some residues (lysine, arginine, asparagine, glutamic acid and aspartic acid), with a discontinuous region of the common gamma chain of IL-2R, termed the interleukins binding sites (103-210). The study of these sites can be important for the development of new drugs. (C) 2000 Elsevier Science B.V. All rights reserved.

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Traditional Chinese medicines (TCMs), due to their long time clinic test and reliable therapeutic efficacy, are attracting increased global attention served as excellent pools of bioactive compounds for the discovery of new drugs. However, hundreds or even thousands of components are usually contained in traditional Chinese medicines and only a few compounds are responsible for the pharmaceutical and/or toxic effects. The large numbers of other components in traditional Chinese medicines make the screening and analysis of the bioactive components extremely difficult. By the way, the combination effect of bioactive components on the pharmacological activity makes it very difficult to clear the therapeutic mechanism of TCMs. Therefore, some strategies have to design for screening of bioactive compounds in traditional Chinese medicines, which further leads to disclose the therapeutic mechanism of TCMs in molecular level. The review will summarize the present state of the art of screening strategy for active compounds in traditional Chinese medicines, and the chromatography methods for screening and analysis of bioactive compounds in traditional Chinese medicines will be emphasized. (C) 2004 Elsevier B.V. All rights reserved.

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Enot, D. and King, R. D. (2003) Application of Inductive Logic Programming to Structure-Based Drug Design. 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD '03). Springer LNAI 2838 p156-167

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

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Soft-tissue sarcomas (STSs) are rare mesenchymal tumors that arise from muscle, fat and connective tissue. Currently, over 75 subtypes of STS are recognized. The rarity and heterogeneity of patient samples complicate clinical investigations into sarcoma biology. Model organisms might provide traction to our understanding and treatment of the disease. Over the past 10 years, many successful animal models of STS have been developed, primarily genetically engineered mice and zebrafish. These models are useful for studying the relevant oncogenes, signaling pathways and other cell changes involved in generating STSs. Recently, these model systems have become preclinical platforms in which to evaluate new drugs and treatment regimens. Thus, animal models are useful surrogates for understanding STS disease susceptibility and pathogenesis as well as for testing potential therapeutic strategies.

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The costs of developing the types of new drugs that have been pursued by traditional pharmaceutical firms have been estimated in a number of studies. However, similar analyses have not been published on the costs of developing the types of molecules on which biotech firms have focused. This study represents a first attempt to get a sense for the magnitude of the R&D costs associated with the discovery and development of new therapeutic biopharmaceuticals (specifically, recombinant proteins and monoclonal antibodies [mAbs]). We utilize drug-specific data on cash outlays, development times, and success in obtaining regulatory marketing approval to estimate the average pre-tax R&D resource cost for biopharmaceuticals up to the point of initial US marketing approval (in year 2005 dollars). We found average out-of-pocket (cash outlay) cost estimates per approved biopharmaceutical of $198 million, $361 million, and $559 million for the preclinical period, the clinical period, and in total, respectively. Including the time costs associated with biopharmaceutical R&D, we found average capitalized cost estimates per approved biopharmaceutical of $615 million, $626 million, and $1241 million for the preclinical period, the clinical period, and in total, respectively. Adjusting previously published estimates of R&D costs for traditional pharmaceutical firms by using past growth rates for pharmaceutical company costs to correspond to the more recent period to which our biopharmaceutical data apply, we found that total out-of-pocket cost per approved biopharmaceutical was somewhat lower than for the pharmaceutical company data ($559 million vs $672 million). However, estimated total capitalized cost per approved new molecule was nearly the same for biopharmaceuticals as for the adjusted pharmaceutical company data ($1241 million versus $1318 million). The results should be viewed with some caution for now given a limited number of biopharmaceutical molecules with data on cash outlays, different therapeutic class distributions for biopharmaceuticals and for pharmaceutical company drugs, and uncertainty about whether recent growth rates in pharmaceutical company costs are different from immediate past growth rates. Copyright © 2007 John Wiley & Sons, Ltd.

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OBJECTIVE: This report updates our earlier work on the returns to pharmaceutical research and development (R&D) in the US (1980 to 1984), which showed that the returns distributions are highly skewed. It evaluates a more recent cohort of new drug introductions in the US (1988 to 1992) and examines how the returns distribution is emerging for drugs with life cycles concentrated in the 1990s versus the 1980s. DESIGN AND SETTING: Methods were described in detail in our earlier reports. The current sample included 110 new drug entities (including 28 orphan drugs), and sales data were obtained for the period 1988 to 1998, which represented between 7 and 11 years of sales for the drugs included. 20 years was chosen as the expected market life for this cohort, and a 2-step procedure was used to project future sales for the drugs--during the period until patent expiry and then beyond patent expiry until the 20-year time-horizon was completed. Thus, the values in the first half of the life cycle are essentially based on realised sales, while those in the second half are projected using information on patent expiry and other inputs. MAIN OUTCOME MEASURES AND RESULTS: Peak annual sales for the top decile of drugs introduced between 1988 and 1992 in the US amounted to almost $US1.1 billion compared with peak sales of less than $US175 million (1992 values) for the mean compound. In particular, the top decile accounted for 56% of overall sales revenue. Although the sales distributions were skewed in both our earlier and current analysis, the top decile in the later time-period exhibited more rapid rates of growth after launch, a peak that was more than 50% greater in real terms than for the 1980 to 1984 cohort, and a faster rate of expected decline in sales after patent expiry. One factor contributing to the distribution of sales revenues becoming more skewed over time is the orphan drug phenomenon (i.e. most of the orphan drugs are concentrated at the bottom of the distribution). CONCLUSION: The distribution of sales revenues for new drug compounds is highly skewed in nature. In this regard, the top decile of new drugs accounts for more than half of the total sales generated by the 1988 to 1992 cohort analysed. Furthermore, the distribution of sales revenues for this cohort is more skewed than that of the 1980 to 1984 cohort we analysed in previous research.

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An abundance of genetic, histopathological, and biochemical evidence has implicated the neuronal protein, alpha-synuclein (alpha-syn) as a key player in the development of several neurodegenerative diseases, the so-called synucleinopathies, of which Parkinson's disease (PD) is the most prevalent. Development of disease appears to be linked to events that increase the intracellular concentration of alpha-syn or cause its chemical modification, either of which can accelerate the rate at which it forms aggregates. Examples of such events include increased copy number of genes, decreased rate of degradation via the proteasome or other proteases, or altered forms of alpha-syn, such as truncations, missense mutations, or chemical modifications by oxidative reactions. Aggregated forms of the protein, especially newly formed soluble aggregates, are toxic to cells, so that one therapeutic strategy would be to reduce the rate at which such oligomerization occurs. We have therefore designed several peptides and also identified small molecules that can inhibit alpha-syn oligomerization and toxicity in vitro. These compounds could serve as lead compounds for the design of new drugs for the treatment of PD and related disorders in the future.

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Ligand prediction has been driven by a fundamental desire to understand more about how biomolecules recognize their ligands and by the commercial imperative to develop new drugs. Most of the current available software systems are very complex and time-consuming to use. Therefore, developing simple and efficient tools to perform initial screening of interesting compounds is an appealing idea. In this paper, we introduce our tool for very rapid screening for likely ligands (either substrates or inhibitors) based on reasoning with imprecise probabilistic knowledge elicited from past experiments. Probabilistic knowledge is input to the system via a user-friendly interface showing a base compound structure. A prediction of whether a particular compound is a substrate is queried against the acquired probabilistic knowledge base and a probability is returned as an indication of the prediction. This tool will be particularly useful in situations where a number of similar compounds have been screened experimentally, but information is not available for all possible members of that group of compounds. We use two case studies to demonstrate how to use the tool.

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Background: Malignant mesothelioma (MM) is an aggressive disease that is diagnosed mostly in locally advanced or metastatic stage. In this condition chemotherapy with the combination cisplatin and pemetrexed or ralitrexed represents the standard treatment as supported by a phase III study. However, chemotherapy has very limited effect on the improvement of survival of patients and very few of the MM patients survive more than 2 years. A better understanding of molecular mechanisms and pathways involved in angiogenesis in MM is the basis for the development of new drugs targeted against these pathways responsible for the proliferation and survival of tumor cells.

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PURPOSE:
The protease inhibitor bortezomib attenuates the action of NF-κB and has shown preclinical activity alone and in combination with chemotherapy.

DESIGN:
A Phase I dose-escalation study was performed administering bortezomib (0.7, 1.0, 1.3 and 1.6 mg m(-2) on days 1 and 8 from cycle 2 onwards) in combination with Epirubicin 50 mg m(-2) intravenously on day 1, Carboplatin AUC 5 day 1 and Capecitabine 625 mg m(-2) BD days 1-21 every 21 days (VECarboX regimen), in patients with advanced oesophagogastric adenocarcinoma. The primary objective was to define the maximum tolerated dose (MTD) of Bortezomib when combined with ECarboX.

RESULTS:
18 patients received bortezomib 0.7 (n = 6), 1.0 (n = 3), 1.3 (n = 6) and 1.6 mg m(-2) (n = 3) and a protocol amendment reducing the capecitabine dose to 500 mg m(-2) BD was enacted due to myelotoxicity. Common treatment-related non-haematological adverse events of any grade were fatigue (83.3 %), anorexia (55.6 %), constipation (55.6 %) and nausea (55.6 %). Common Grade 3/4 haematological toxicities were neutropenia (77.8 %) and thrombocytopenia (44.4 %). Objective responses were achieved in 6 patients (33.3 %) and a further 5 patients (27.8 %) had stable disease for >8 weeks.

CONCLUSIONS:
The addition of Bortezomib to ECarboX is well tolerated and response rates are comparable with standard chemotherapy.