Month: November 2022

Villalonga, Reynaldo published the artcileImmobilization of Xanthine Oxidase on Carbon Nanotubes Through Double Supramolecular Junctions for Biosensor Construction, Synthetic Route of 36428-96-3, the main research area is xanthine oxidase immobilization carbon nanotube double supramol junction biosensor.

A novel approach for the noncovalent functionalization of single-walled carbon nanotubes with enzymes, using a β-cyclodextrin-modified pyrene derivative, mono-6-ethylenediamino-(2-pyrene carboxamido)-6-deoxy-β-cyclodextrin (Pyr-βCD), as a mol. bridge for the construction of a supramol. assembly between the nanotube surface and an adamantane-modified enzyme, is reported. The Pyr-βCD derivative was synthesized and its stacking to SWNT through π-π interactions accomplished. The functionalized nanotubes showed low capacity for the nonspecific adsorption of proteins, but were able to immobilize adamantane-modified xanthine oxidase via host-guest associations This double supramol. junctions-based approach was employed to modify a glassy carbon electrode with the enzyme/nanotubes complex for designing a biosensor device toward xanthine. The biosensor showed fast electroanal. response (10 s), high sensitivity (5.9 mA/M cm2) low detection limit (2 μM) and high stability.

Electroanalysis published new progress about Carbon nanotubes. 36428-96-3 belongs to class chlorides-buliding-blocks, name is Pyrene-2-carboxylic acid, and the molecular formula is C17H10O2, Synthetic Route of 36428-96-3.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Louis, Bruno published the artcileQSAR modeling of aquatic toxicity of aromatic aldehydes using artificial neural network (ANN) and artificial neural network (MLR), Computed Properties of 286474-59-7, the main research area is QSAR aquatic toxicity aromatic aldehyde; artificial neural network artificial neural network.

In the present work, quant. structure-activity relationship anal. (QSAR) to predict the toxic potency of 77 aromatic aldehydes to ciliate Tetrahymena pyriformis has been investigated by means of multiple linear regression (MLR) and artificial neural network (ANN). The relationships between structure and toxicity were examined quant. using octanol/water partition coefficient (log Kow) encoding hydrophobic and mol. connectivity index depicting topol. structural features of aldehydes. The data set was split into train and test set and these sets were used to derive statistically robust and predictive (both internally and externally) models. The study demonstrates that both MLR and ANN models have good predictive power but ANN model shows a better statistical parameter in comparison with MLR model.

Journal of the Indian Chemical Society published new progress about Aquatic toxicity. 286474-59-7 belongs to class chlorides-buliding-blocks, name is 6-Chloro-2-fluoro-3-methylbenzaldehyde, and the molecular formula is C8H6ClFO, Computed Properties of 286474-59-7.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Netzeva, Tatiana I. published the artcileQSARs for the aquatic toxicity of aromatic aldehydes from Tetrahymena data, Recommanded Product: 6-Chloro-2-fluoro-3-methylbenzaldehyde, the main research area is aldehyde lipophilicity electrophlicity structure aquatic toxicity.

The aim of the study was to develop quant. structure-activity relationships (QSARs) for a large group of 77 aromatic aldehydes tested for acute toxicity to the ciliate Tetrahymena pyriformis using mechanistically interpretable descriptors. The resulting QSARs revealed that the 1-octanol/water partition coefficient (log Kow), is the most important descriptor of aldehyde aquatic toxic potency. The model with log Kow was improved by adding electronic descriptor (the maximum acceptor superdelocalizability in a mol.-Amax) based on calculations with the semi-empirical AM1 model. The 2 descriptors reflect the 2 main processes responsible for demonstration of acute aquatic toxicity, namely penetration through cell membranes (log K ow) and interaction with the biomacromols. (Amax) into the cells. Results showed that generally the studied group of aldehydes could be modeled by this simple 2-descriptor approach. However, the group of 2- and/or 4-hydroxylated aldehydes demonstrates enhanced toxicity compared to the other aldehydes. Transformation to quinone-like structures is proposed as the explanation for this enhanced potency. The 2- and/or 4-hydroxylated aldehydes are modeled successfully by [log(1/IGC50) = 0.540(0.038) log Kow + 8.30(2.88)Amax – 3.11(0.92), n = 25, R2 = 0.916, R2CV = 0.896 , s = 0.141, F = 120], while the other aldehydes are modeled by the relationship [log(1/IGC50) = 0.583 (0.034)log Kow + 9.80(2.62)Amax – 4.04 (0.85), n = 52, R2 = 0.864, R2CV = 0.844, s = 0.203, F = 156], which is similar to the general benzene model.

Chemosphere published new progress about Aquatic toxicity. 286474-59-7 belongs to class chlorides-buliding-blocks, name is 6-Chloro-2-fluoro-3-methylbenzaldehyde, and the molecular formula is C8H6ClFO, Recommanded Product: 6-Chloro-2-fluoro-3-methylbenzaldehyde.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Lei, Beilei published the artcileAccurate prediction of aquatic toxicity of aromatic compounds based on genetic algorithm and least squares support vector machines, Application In Synthesis of 286474-59-7, the main research area is aquatic toxicity aromatic compound genetic algorithm statistics.

Quant. Structure – Toxicity Relationship (QSTR) plays an important role in ecotoxicol. for its fast and practical ability to assess the potential neg. effects of chems. The aim of this investigation was to develop accurate QSTR models for the aquatic toxicity of a large set of aromatic compounds through the combination of Least Squares Support Vector Machines (LS-SVMs) and a Genetic Algorithm (GA). Mol. descriptors calculated by DRAGON package and log P were used to describe the mol. structures. The most relevant descriptors used to build QSTR models were selected by a GA-Variable Subset Selection procedure. Multiple Linear Regression (MLR) and nonlinear LS-SVMs methods were employed to build QSTR models. The predictive ability of the derived models was validated using both the test set, selected from the whole data set by the Kennard – Stone Algorithm, and an external prediction set. The model applicability domain was checked by the leverage approach and the external prediction set was used to verify the predictive reliability of the models. The results indicated that the proposed QSTR models are robust and satisfactory, and can provide a feasible and promising tool for the rapid assessment of the toxicity of chems.

QSAR & Combinatorial Science published new progress about Aquatic toxicity. 286474-59-7 belongs to class chlorides-buliding-blocks, name is 6-Chloro-2-fluoro-3-methylbenzaldehyde, and the molecular formula is C8H6ClFO, Application In Synthesis of 286474-59-7.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Schultz, Terry W. published the artcileAssessing applicability domains of toxicological QSARs: definition, confidence in predicted values, and the role of mechanisms of action, Formula: C8H6ClFO, the main research area is modeling predictive toxicity QSAR Tetrahymena aromatic compound.

There are many issues relating to the use of Quant. Structure – Activity Relationships (QSARs) to make predictions for regulatory purposes. Among those issues, characterization of models and the development of suitable tools to determine applicability domains rank as the more important. With regard to aquatic toxicol., QSARs for acute effects (e.g., IGC50-1) often take the form of a hydrophobic [i.e., Logarithm of the 1-Octanol/Water Partition Coefficient (log P)]-electrophilic [e.g., Maximum Acceptor Superdelocalizability (Amax)]-dependent, regression-based model. In this study, the applicability domain of a model for the toxicity of aromatic compounds to Tetrahymena pyriformis [log (IGC50-1) = 0.545(0.015) log P + 16.2(0.62) Amax-5.91(0.20); n = 384, r2 (adj) = 0.859, r2(pred) = 0.856, s = 0.275, F = 1163, Pr > F = 0.0001] was assessed. The structural and physicochem. domains of the model were characterized using two test sets of toxicity data (one prescreened to be within the descriptor space and structural domain of the training set and the other to be outside the structural domain of the training set). For test set compounds inside the domain of the model, there was no relationship between absolute residue values for predictions and hydrophobicity; however, there was a linear relationship between absolute residue values and electrophilicity. It was concluded that predictivity in the region of the domain associated with higher electrophilicity, greater potency, and derivatives containing both halo- and nitro-groups is poorer than elsewhere in the domain, and therefore less confidence should be given to those values. Compounds in this region of the domain of the model are associated with the soft-, or pro-electrophilic mechanisms of toxic action. For the second test set, i.e., derivatives outside the structural domain, an examination of absolute residue values revealed that the observed toxicity is typically in excess of that predicted, especially for compounds in the structural space(s) of well-known electrophilic mechanisms of reactive toxicity. Caution is therefore urged in using statistical approaches to account for, and apply confidence to predictions from the applicability domain. An appreciation of the mechanism of toxicity appears to be critical to the determination of the most likely applicability domain.

QSAR & Combinatorial Science published new progress about Aquatic toxicity. 286474-59-7 belongs to class chlorides-buliding-blocks, name is 6-Chloro-2-fluoro-3-methylbenzaldehyde, and the molecular formula is C8H6ClFO, Formula: C8H6ClFO.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Cakir, Gizem published the artcileNovel 4-Thiazolidinones as Non-Nucleoside Inhibitors of Hepatitis C Virus NS5B RNA-Dependent RNA Polymerase, Related Products of chlorides-buliding-blocks, the main research area is thiazolidinone hepatitis C virus NS5B RNA dependent polymerase inhibitor; 4-Thiazolidinones; Antiviral agents; HCV NS5B polymerase; Hepatitis C; Molecular modeling.

In continuation of the authors efforts to develop new derivatives as hepatitis C virus (HCV) NS5B inhibitors, the authors synthesized novel 5-arylidene-4-thiazolidinones. The novel compounds 29-42, together with their synthetic precursors 22-28, were tested for HCV NS5B inhibitory activity; 12 of these compounds displayed IC50 values between 25.3 and 54.1 μM. Compound 33, an arylidene derivative, was the most active compound in this series with an IC50 value of 25.3 μM. Mol. docking studies were performed on the thumb pocket-II of NS5B to postulate the binding mode for these compounds

Archiv der Pharmazie (Weinheim, Germany) published new progress about Antiviral agents. 89978-31-4 belongs to class chlorides-buliding-blocks, name is 5-(2,6-Dichlorophenyl)-1,3,4-thiadiazol-2-amine, and the molecular formula is C8H5Cl2N3S, Related Products of chlorides-buliding-blocks.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Rolt, Adam published the artcileDiscovery and Optimization of a 4-Aminopiperidine Scaffold for Inhibition of Hepatitis C Virus Assembly, SDS of cas: 93118-03-7, the main research area is HCV 4AP life cycle viral replication antivirals SAR ADME.

The majority of FDA-approved HCV therapeutics target the viral replicative machinery. An automated high-throughput phenotypic screen identified several small mols. as potent inhibitors of hepatitis C virus replication. Here, we disclose the discovery and optimization of a 4-aminopiperidine (4AP) scaffold targeting the assembly stages of the HCV life cycle. The original screening hit (1) demonstrates efficacy in the HCVcc assay but does not show potency prior to or during viral replication. Colocalization and infectivity studies indicate that the 4AP chemotype inhibits the assembly and release of infectious HCV. Compound 1 acts synergistically with FDA-approved direct-acting antiviral compounds Telaprevir and Daclatasvir, as well as broad spectrum antivirals Ribavirin and cyclosporin A. Following an SAR campaign, several derivatives of the 4AP series, including 77b (I), have been identified with increased potency against HCV, reduced in vitro toxicity, as well as improved in vitro and in vivo ADME properties.

Journal of Medicinal Chemistry published new progress about Antiviral agents. 93118-03-7 belongs to class chlorides-buliding-blocks, name is 2-Chloro-3-(trifluoromethyl)benzaldehyde, and the molecular formula is C8H4ClF3O, SDS of cas: 93118-03-7.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Hazeldine, Stuart T. published the artcileDesign, Synthesis, and Biological Evaluation of Analogues of the Antitumor Agent, 2-{4-[(7-Chloro-2-quinoxalinyl)oxy]phenoxy}propionic Acid (XK469), Safety of 5-Chloroquinoxalin-2-ol, the main research area is chloroquinoxalinyloxyphenoxypropionic acid structure antitumor; quinoxalinyloxyphenoxypropionic acid antitumor preparation.

2-{4-[(7-Chloro-2-quinoxalinyl)oxy]phenoxy}propionic acid (XK469) I is among the most highly and broadly active antitumor agents to have been evaluated and scheduled to enter clin. trials in 2001. The mechanism or mechanisms of action of I remain to be elaborated. Accordingly, an effort was initiated to establish a pharmacophore hypothesis to delineate the requirements of the active site, via a comprehensive program of synthesis of analogs of I and evaluation of the effects of structural modification(s) on solid tumor activity. The strategy formulated chose to dissect the two-dimensional parent structure into three regions: I, ring A of quinoxaline; II, the hydroquinone connector linkage; and III, the lactic acid moiety-to determine the resultant in vitro and in vivo effects of chem. alterations in each region. Neither the A-ring unsubstituted nor the B-ring 3-chloro-regioisomer of I showed antitumor activity. The modulating antitumor effect(s) of substituents of differing electronegativities, located at the several sites comprising the A-ring of region I, were next ascertained. Thus, a halogen substituent, located at the 7-position of a 2-{4-[(2-quinoxalinyl)oxy]phenoxy}propionic acid, generated the most highly and broadly active antitumor agents. A Me, methoxy, or an azido substituent at this site generated a much less active structure, whereas 5-, 6-, 8-chloro-, 6-, 7-nitro, and 7-amino derivatives all proved to be essentially inactive. When the connector linkage (region II) of I was changed from that of a hydroquinone to either a resorcinol or a catechol derivative, all antitumor activity was lost. Of the carboxylic acid derivatives of I (region III), i.e., CONH2, CONHMe, CONMe2, CONHOH, CONHNH2, CN, or CN4H (tetrazole), only the monomethyl- and N,N-dimethylamides proved to be active.

Journal of Medicinal Chemistry published new progress about Antitumor agents. 55687-19-9 belongs to class chlorides-buliding-blocks, name is 5-Chloroquinoxalin-2-ol, and the molecular formula is C8H5ClN2O, Safety of 5-Chloroquinoxalin-2-ol.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Peng, Zhenghong published the artcileDegrasyn-like symmetrical compounds: Possible therapeutic agents for multiple myeloma, Synthetic Route of 286474-59-7, the main research area is degrasyn analog preparation antitumor multiple myeloma; Degrasyn; Inhibitors; Jak2/Stat3; Multiple myeloma; Small molecules; Synthesis.

A series of degrasyn-like sym. compounds, e.g. I [R = indol-3-yl, 4-(piperidin-1-yl)phenyl, 6-methoxypyridin-2-yl, etc.] have been designed, synthesized, and screened against B cell malignancy (multiple myeloma, mantle cell lymphoma) cell lines. The lead compounds T5165804 and CP2005 showed higher nanomolar potency against these tumor cells in comparison to degrasyn and inhibited Usp9x activity in vitro and in intact cells. These observations suggest that this new class of compounds holds promise as cancer therapeutic agents.

Bioorganic & Medicinal Chemistry published new progress about Antitumor agents. 286474-59-7 belongs to class chlorides-buliding-blocks, name is 6-Chloro-2-fluoro-3-methylbenzaldehyde, and the molecular formula is C8H6ClFO, Synthetic Route of 286474-59-7.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics

Dickens, Michael P. published the artcile5-Deazaflavin derivatives as inhibitors of p53 ubiquitination by HDM2, Application In Synthesis of 93118-03-7, the main research area is deazaflavin derivative preparation p53 ubiquitination inhibitor SAR; Cancer; Deazaflavin; HDM2–p53; Ubiquitin E3 ligase; Ubiquitination inhibitors.

Based on previous reports of certain 5-deazaflavin derivatives being capable of activating the tumor suppressor p53 in cancer cells through inhibition of the p53-specific ubiquitin E3 ligase HDM2, we have conducted an structure-activity relation (SAR) anal. through systematic modification of the 5-deazaflavin template. This anal. shows that HDM2-inhibitory activity depends on a combination of factors. The most active compounds (e.g., I) contain a trifluoromethyl or chloro substituent at the deazaflavin C9 position and this activity depends to a large extent on the presence of at least one addnl. halogen or Me substituent of the Ph group at N10. Our SAR results, in combination with the HDM2 RING domain receptor recognition model we present, form the basis for the design of drug-like and potent activators of p53 for potential cancer therapy.

Bioorganic & Medicinal Chemistry published new progress about Antitumor agents. 93118-03-7 belongs to class chlorides-buliding-blocks, name is 2-Chloro-3-(trifluoromethyl)benzaldehyde, and the molecular formula is C8H4ClF3O, Application In Synthesis of 93118-03-7.

Referemce:
Chloride – Wikipedia,
Chlorides – an overview | ScienceDirect Topics