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Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde mar. 1997 / hasta dic. 2023 Science Journals

Información

Tipo de recurso:

revistas

ISSN impreso

0036-8075

ISSN electrónico

1095-9203

Editor responsable

American Association for the Advancement of Science (AAAS)

País de edición

Estados Unidos

Fecha de publicación

Cobertura temática

Tabla de contenidos

Comment on “Structural evidence for a dynamic metallocofactor during N 2 reduction by Mo-nitrogenase”

John W. PetersORCID; Oliver EinsleORCID; Dennis R. DeanORCID; Serena DeBeerORCID; Brian M. HoffmanORCID; Patrick L. HollandORCID; Lance C. SeefeldtORCID

<jats:p> Kang <jats:italic>et al</jats:italic> . (Reports, 19 June 2020, p. 1381) report a structure of the nitrogenase MoFe protein that is interpreted to indicate binding of N <jats:sub>2</jats:sub> or an N <jats:sub>2</jats:sub> -derived species to the active-site FeMo cofactor. Independent refinement of the structure and consideration of biochemical evidence do not support this claim. </jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Germanium nanospheres for ultraresolution picotensiometry of kinesin motors

Swathi SudhakarORCID; Mohammad Kazem Abdosamadi; Tobias Jörg Jachowski; Michael Bugiel; Anita JannaschORCID; Erik SchäfferORCID

<jats:title>Kinesin takes substeps</jats:title> <jats:p> Simultaneously measuring the nanoscale motion and forces that molecular machines generate provides insights into how they work mechanically to fulfill their cellular function. To study these machines, Sudhakar <jats:italic>et al.</jats:italic> developed germanium semiconductor nanospheres as probes for so-called optical tweezers. With these high–refractive index nanospheres, they improved the resolution of optical tweezers and discovered that the motor kinesin takes 4-nanometer substeps. Further, instead of detaching from their microtubule track under load, motors slid back on it, enabling rapid reengagement in transport. The new technology will allow investigation of a range of other proteins and their behaviors at nanometer scales. </jats:p> <jats:p> <jats:italic>Science</jats:italic> , this issue p. <jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" related-article-type="in-this-issue" xlink:href="10.1126/science.abd9944">eabd9944</jats:related-article> </jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease

Christina V. TheodorisORCID; Ping Zhou; Lei Liu; Yu Zhang; Tomohiro NishinoORCID; Yu Huang; Aleksandra KostinaORCID; Sanjeev S. Ranade; Casey A. GiffordORCID; Vladimir UspenskiyORCID; Anna MalashichevaORCID; Sheng DingORCID; Deepak SrivastavaORCID

<jats:title>Machine learning for medicine</jats:title> <jats:p> Small-molecule screens aimed at identifying therapeutic candidates traditionally search for molecules that affect one to several outputs at most, limiting discovery of true disease-modifying drugs. Theodoris <jats:italic>et al.</jats:italic> developed a machine-learning approach to identify small molecules that broadly correct gene networks dysregulated in a human induced pluripotent stem cell disease model of a common form of heart disease involving the aortic valve. Gene network correction by the most efficacious therapeutic candidate generalized to primary aortic valve cells derived from more than 20 patients with sporadic aortic valve disease and prevented aortic valve disease in vivo in a mouse model. </jats:p> <jats:p> <jats:italic>Science</jats:italic> , this issue p. <jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" related-article-type="in-this-issue" xlink:href="10.1126/science.abd0724">eabd0724</jats:related-article> </jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Monitoring change

H. Holden Thorp

<jats:p> The <jats:italic>Science</jats:italic> family of journals is launching a number of new initiatives related to our editorial policies. We now have a web page listing several important metrics for scientific journals ( <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.sciencemag.org/journal-metrics">www.sciencemag.org/journal-metrics</jats:ext-link> ). This information will be updated at the end of each year with new data. </jats:p>

Palabras clave: Multidisciplinary.

Pp. 653-653

News at a glance

<jats:p>A roundup of weekly science policy and related news.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 654-656

United States rushes to fill void in viral sequencing

Meredith Wadman

<jats:p>Some experts say Biden administration plan is too modest to track fast-evolving variants as they arise and spread.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 657-658

Genes for life on land evolved earlier in fish

Elizabeth Pennisi

<jats:p>Hidden genetic pathways behind land-water transition are found in living fish.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 658-659

Pandemic hit academic mothers hard, data show

Katie Langin

<jats:p>New evidence highlights need for policy changes to aid female scientists.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 660-660

Study: Police diversity matters

Douglas Starr

<jats:p>Landmark analysis of 7000 Chicago police shows nonwhite and female officers make fewer stops.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 661-661

Illicit centipede spurs taxonomy journal debate

Yao-Hua Law

<jats:p>Editors differ about whether they are obliged to ensure specimens are legally acquired.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 662-662