6 resultados para Copper compounds
Resumo:
postprint
Resumo:
283 p.
Resumo:
Laccases (benzenediol : oxygen oxi doreductases; EC 1.10.3.2) are wide spread i n nature. They are usually found in higher plants and fungi (Thurston 19 94; Mayer and Staples 2002), but recently some bacterial laccases have also been found . The first laccase studied was from Rhus vernicifera in 1883, a Japanese lacquer tree, fr om which the name laccase was derived (Yoshida , 1883). These enzymes belong to the group of bl ue multi - copper oxidases (MCOs) . They usually contain four copper atoms located in three distinct sites. Each site reacts differently to light. The Type 1 (T1) site copper atom absorbs intensely at 600 nm and emits the blue light , the Type 2 (T2) site copper atom is not visible in the absorption spectr um and last, the Type 3 (T3) site has two c opper atoms and absorbs at 330 nm ( Santhanam et al . , 2011; Quintanar et al . , 2007 ) . The protei n structure acts as a complex ligand for the catalytic coppers, providing them the right structure where changes between the reduction states are thermodynamically possible (Dub é , 2008 ) . These enzymes oxidize a surprisingly wide variety of organic and inorganic compounds like, diphenols, polyphenols, substituted phenols, diamines and a romatic amines, with concomitant reduction of molecular oxygen to water (Thurston , 1
Resumo:
In a multi-target complex network, the links (L-ij) represent the interactions between the drug (d(i)) and the target (t(j)), characterized by different experimental measures (K-i, K-m, IC50, etc.) obtained in pharmacological assays under diverse boundary conditions (c(j)). In this work, we handle Shannon entropy measures for developing a model encompassing a multi-target network of neuroprotective/neurotoxic compounds reported in the CHEMBL database. The model predicts correctly >8300 experimental outcomes with Accuracy, Specificity, and Sensitivity above 80%-90% on training and external validation series. Indeed, the model can calculate different outcomes for >30 experimental measures in >400 different experimental protocolsin relation with >150 molecular and cellular targets on 11 different organisms (including human). Hereafter, we reported by the first time the synthesis, characterization, and experimental assays of a new series of chiral 1,2-rasagiline carbamate derivatives not reported in previous works. The experimental tests included: (1) assay in absence of neurotoxic agents; (2) in the presence of glutamate; and (3) in the presence of H2O2. Lastly, we used the new Assessing Links with Moving Averages (ALMA)-entropy model to predict possible outcomes for the new compounds in a high number of pharmacological tests not carried out experimentally.
Resumo:
Effects on fish reproduction can result from a variety of toxicity mechanisms first operating at the molecular level. Notably, the presence in the environment of some compounds termed endocrine disrupting chemicals (EDCs) can cause adverse effects on reproduction by interfering with the endocrine system. In some cases, exposure to EDCs leads to the animal feminization and male fish may develop oocytes in testis (intersex condition). Mugilid fish are well suited sentinel organisms to study the effects of reproductive EDCs in the monitoring of estuarine/marine environments. Up-regulation of aromatases and vitellogenins in males and juveniles and the presence of intersex individuals have been described in a wide array of mullet species worldwide. There is a need to develop new molecular markers to identify early feminization responses and intersex condition in fish populations, studying mechanisms that regulate gonad differentiation under exposure to xenoestrogens. Interestingly, an electrophoresis of gonad RNA, shows a strong expression of 5S rRNA in oocytes, indicating the potential of 5S rRNA and its regulating proteins to become useful molecular makers of oocyte presence in testis. Therefore, the use of these oocyte markers to sex and identify intersex mullets could constitute powerful molecular biomarkers to assess xenoestrogenicity in field conditions.
Resumo:
208 p.