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1.
AMA J Ethics ; 25(7): E545-549, 2023 07 01.
Artigo em Inglês | MEDLINE | ID: mdl-37432008

RESUMO

The history of body mass index (BMI) is intertwined with the development of anthropometric statistics used to classify and measure human variation, an intellectual foundation of eugenics. While useful in analyzing population trends in relative body weight, BMI possesses multiple shortcomings when used as an individualized health screening tool. These limitations compromise the just care of people with disabilities, especially patients with achondroplasia and Down syndrome, for whose care BMI use contributes to clinical ostracization.


Assuntos
Pessoas com Deficiência , Pacientes , Humanos , Índice de Massa Corporal
2.
J Org Chem ; 87(19): 13416-13421, 2022 10 07.
Artigo em Inglês | MEDLINE | ID: mdl-36153989

RESUMO

FR901464 and thailanstatins are potent cytotoxic natural products that share an amine-containing tetrahydropyran ring. We previously reported the synthesis of the tetrahydropyran component. Here, we changed the protecting group for the amine from Boc to tosyl, improving yields and the time economy. A highlight of the revised synthetic scheme is the use of lithium, t-butanol, and ethylenediamine in THF (nontraditional Birch reduction conditions) for the N-detosylation.


Assuntos
Aminas , Produtos Biológicos , Etilenodiaminas , Lítio , Piranos , Compostos de Espiro , terc-Butil Álcool
3.
Chem Sci ; 9(1): 105-118, 2018 Jan 07.
Artigo em Inglês | MEDLINE | ID: mdl-29399317

RESUMO

Resistance to copper (Cu) toxicity in the respiratory pathogen Streptococcus pneumoniae is regulated by the Cu-specific metallosensor CopY. CopY is structurally related to the antibiotic-resistance regulatory proteins MecI and BlaI from Staphylococcus aureus, but is otherwise poorly characterized. Here we employ a multi-pronged experimental strategy to define the Spn CopY coordination chemistry and the unique mechanism of allosteric activation by Zn(ii) and allosteric inhibition by Cu(i) of cop promoter DNA binding. We show that Zn(ii) is coordinated by a subunit-bridging 3S 1H2O complex formed by the same residues that coordinate Cu(i), as determined by X-ray absorption spectroscopy and ratiometric pulsed alkylation-mass spectrometry (rPA-MS). Apo- and Zn-bound CopY are homodimers by small angle X-ray scattering (SAXS); however, Zn stabilizes the dimer, narrows the conformational ensemble of the apo-state as revealed by ion mobility-mass spectroscopy (IM-MS), and activates DNA binding in vitro and in cells. In contrast, Cu(i) employs the same Cys pair to form a subunit-bridging, kinetically stable, multi-metallic Cu·S cluster (KCu ≈ 1016 M-1) that induces oligomerization beyond the dimer as revealed by SAXS, rPA-MS and NMR spectroscopy, leading to inhibition of DNA binding. These studies suggest that CopY employs conformational selection to drive Zn-activation of DNA binding, and a novel Cu(i)-mediated assembly mechanism that dissociates CopY from the DNA via ligand exchange-catalyzed metal substitution, leading to expression of Cu resistance genes. Mechanistic parallels to antibiotic resistance repressors MecI and BlaI are discussed.

4.
J Am Soc Mass Spectrom ; 29(1): 95-102, 2018 01.
Artigo em Inglês | MEDLINE | ID: mdl-29127569

RESUMO

Ion mobility spectrometry-mass spectrometry and Fourier transform infrared spectroscopy (FTIR) techniques were combined with quantum chemical calculations to examine the origin of icosahedral clusters of the amino acid proline. When enantiopure proline solutions are electrosprayed (using nanospray) from 100 mM ammonium acetate, only three peaks are observed in the mass spectrum across a concentration range of five orders of magnitude: a monomer [Pro+H]+ species, favored from 0.001 to 0.01 mM proline concentrations; a dimer [2Pro+H]+ species, the most abundant species for proline concentrations above 0.01 mM; and, the dimer and dodecamer [12Pro+2H]2+ for 1.0 mM and more concentrated proline solutions. Electrospraying racemic D/L-proline solutions from 100 mM ammonium acetate leads to a monomer at low proline concentrations (0.001 to 0.1 mM), and a dimer at higher concentrations (>0.09 mM), as well as a very small population of 8 to 15 Pro clusters that comprise <0.1% of the total ion signals even at the highest proline concentration. Solution FTIR studies show unique features that increase in intensity in the enantiopure proline solutions, consistent with clustering, presumably from the icosahedral geometry in bulk solution. When normalized for the total proline, these results are indicative of a cooperative formation of the enantiopure 12Pro species from 2Pro. Graphical Abstract.

5.
Nucleic Acids Res ; 46(1): 324-335, 2018 01 09.
Artigo em Inglês | MEDLINE | ID: mdl-29140480

RESUMO

In the brome mosaic virus (BMV) virion, the coat protein (CP) selectively contacts the RNA motifs that regulate translation and RNA replication (Hoover et al., 2016. J. Virol. 90, 7748). We hypothesize that the unstructured N-terminal arm (NTA) of the BMV CP can specifically recognize RNA motifs. Using ion mobility spectrometry-mass spectrometry, we demonstrate that peptides containing the NTA of the CP were found to preferentially bind to an RNA hairpin motif that directs the initiation of BMV RNA synthesis. RNA binding causes the peptide to change from heterogeneous structures to a single family of structures. Fluorescence anisotropy, fluorescence quenching and size exclusion chromatography experiments all confirm that the NTA can specific recognize the RNA motif. The peptide introduced into plants along with BMV virion increased accumulation of the BMV CP and accelerated the rate of minus-strand RNA synthesis. The intrinsically disordered BMV NTA could thus specifically recognize BMV RNAs to affect viral infection.


Assuntos
Proteínas do Capsídeo/química , Proteínas Intrinsicamente Desordenadas/química , Motivos de Nucleotídeos , RNA Viral/química , Replicação Viral , Sequência de Bases , Bromovirus/genética , Bromovirus/metabolismo , Proteínas do Capsídeo/genética , Proteínas do Capsídeo/metabolismo , Regulação Viral da Expressão Gênica , Proteínas Intrinsicamente Desordenadas/genética , Proteínas Intrinsicamente Desordenadas/metabolismo , Simulação de Dinâmica Molecular , Ligação Proteica , Conformação Proteica , RNA Viral/genética , RNA Viral/metabolismo , Vírion/química , Vírion/genética , Vírion/metabolismo
6.
BMC Med Inform Decis Mak ; 17(1): 126, 2017 Aug 22.
Artigo em Inglês | MEDLINE | ID: mdl-28830409

RESUMO

BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text classifiers based on Natural Language Processing (NLP) techniques along with pattern recognition machine learning (ML) algorithms. The aim of this research is to evaluate the performance of traditional classifiers for identifying patients with Systemic Lupus Erythematosus (SLE) in comparison with a newer Bayesian word vector method. METHODS: We obtained clinical notes for patients with SLE diagnosis along with controls from the Rheumatology Clinic (662 total patients). Sparse bag-of-words (BOWs) and Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs) matrices were produced using NLP pipelines. These matrices were subjected to several different NLP classifiers: neural networks, random forests, naïve Bayes, support vector machines, and Word2Vec inversion, a Bayesian inversion method. Performance was measured by calculating accuracy and area under the Receiver Operating Characteristic (ROC) curve (AUC) of a cross-validated (CV) set and a separate testing set. RESULTS: We calculated the accuracy of the ICD-9 billing codes as a baseline to be 90.00% with an AUC of 0.900, the shallow neural network with CUIs to be 92.10% with an AUC of 0.970, the random forest with BOWs to be 95.25% with an AUC of 0.994, the random forest with CUIs to be 95.00% with an AUC of 0.979, and the Word2Vec inversion to be 90.03% with an AUC of 0.905. CONCLUSIONS: Our results suggest that a shallow neural network with CUIs and random forests with both CUIs and BOWs are the best classifiers for this lupus phenotyping task. The Word2Vec inversion method failed to significantly beat the ICD-9 code classification, but yielded promising results. This method does not require explicit features and is more adaptable to non-binary classification tasks. The Word2Vec inversion is hypothesized to become more powerful with access to more data. Therefore, currently, the shallow neural networks and random forests are the desirable classifiers.


Assuntos
Inteligência Artificial , Registros Eletrônicos de Saúde , Lúpus Eritematoso Sistêmico , Algoritmos , Teorema de Bayes , Conjuntos de Dados como Assunto , Humanos , Classificação Internacional de Doenças , Aprendizado de Máquina , Processamento de Linguagem Natural , Redes Neurais de Computação , Unified Medical Language System
7.
Angew Chem Int Ed Engl ; 54(43): 12795-9, 2015 Oct 19.
Artigo em Inglês | MEDLINE | ID: mdl-26332992

RESUMO

The cooperativity of ligand binding is central to biological regulation and new approaches are needed to quantify these allosteric relationships. Herein, we exploit a suite of mass spectrometry (MS) experiments to provide novel insights into homotropic Cu-binding cooperativity, gas-phase stabilities and conformational ensembles of the D2 -symmetric, homotetrameric copper-sensitive operon repressor (CsoR) as a function of Cu(I) ligation state. Cu(I) binding is overall positively cooperative, but is characterized by distinct ligation state-specific cooperativities. Structural transitions occur upon binding the first and fourth Cu(I) , with the latter occurring with significantly higher cooperativity than previous steps; this results in the formation of a holo-tetramer that is markedly more resistant than apo-, and partially ligated CsoR tetramers toward surface-induced dissociation (SID).


Assuntos
Cobre/metabolismo , Geobacillus/metabolismo , Proteínas Repressoras/metabolismo , Geobacillus/química , Modelos Moleculares , Óperon , Conformação Proteica , Multimerização Proteica , Estabilidade Proteica , Proteínas Repressoras/química
8.
Forensic Sci Int ; 239: 1-5, 2014 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-24709027

RESUMO

The Duquenois-Levine test for tetrahydrocannabinol (THC) has been used in the forensic science community for over 80 years. This three-part color test is one of many tests used to confirm the presence of THC. In recent years, there have been accusations that this test is not specific enough to use as the sole means of conviction and there is no proof the color produced is from the presence of THC. A structure for the chromophore of the test was proposed by Dr. Dale Forrester in his doctoral dissertation pertaining to the analysis of the Duquenois test using THC standards. Through the use of the AccuTOF-DART system and an Agilent triple quadrupole mass spectrometer, further elucidation of the proposed chromophore was performed on extracts of marijuana samples.


Assuntos
Cannabis , Dronabinol/isolamento & purificação , Acetaldeído/química , Benzaldeídos/química , Fenômenos Químicos , Cromatografia em Camada Fina , Cor , Toxicologia Forense/métodos , Humanos , Indicadores e Reagentes , Espectrometria de Massas/métodos
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