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Science
Resumen/Descripción – provisto por la editorial
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Palabras clave – provistas por la editorial
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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
1880-
Cobertura temática
Tabla de contenidos
Hydra recovers from the “Blip”
Caroline Ash; Jesse Smith (eds.)
Palabras clave: Multidisciplinary.
Pp. 867.1-867
Collapse of fluke populations
Caroline Ash; Jesse Smith (eds.)
Palabras clave: Multidisciplinary.
Pp. 867.2-868
Fluid support
Caroline Ash; Jesse Smith (eds.)
Palabras clave: Multidisciplinary.
Pp. 867.3-868
Epigenetic control of metastasis
Caroline Ash; Jesse Smith (eds.)
Palabras clave: Multidisciplinary.
Pp. 867.4-868
Contrapuntal gene risk
Caroline Ash; Jesse Smith (eds.)
Palabras clave: Multidisciplinary.
Pp. 867.5-868
Methane on Mars is transient and local
Caroline Ash; Jesse Smith (eds.)
Palabras clave: Multidisciplinary.
Pp. 867.6-868
When an internship adds value
Caroline Ash; Jesse Smith (eds.)
Palabras clave: Multidisciplinary.
Pp. 867.7-868
Accurate prediction of protein structures and interactions using a three-track neural network
Minkyung Baek; Frank DiMaio; Ivan Anishchenko; Justas Dauparas; Sergey Ovchinnikov; Gyu Rie Lee; Jue Wang; Qian Cong; Lisa N. Kinch; R. Dustin Schaeffer; Claudia Millán; Hahnbeom Park; Carson Adams; Caleb R. Glassman; Andy DeGiovanni; Jose H. Pereira; Andria V. Rodrigues; Alberdina A. van Dijk; Ana C. Ebrecht; Diederik J. Opperman; Theo Sagmeister; Christoph Buhlheller; Tea Pavkov-Keller; Manoj K. Rathinaswamy; Udit Dalwadi; Calvin K. Yip; John E. Burke; K. Christopher Garcia; Nick V. Grishin; Paul D. Adams; Randy J. Read; David Baker
<jats:title>Deep learning takes on protein folding</jats:title> <jats:p> In 1972, Anfinsen won a Nobel prize for demonstrating a connection between a protein’s amino acid sequence and its three-dimensional structure. Since 1994, scientists have competed in the biannual Critical Assessment of Structure Prediction (CASP) protein-folding challenge. Deep learning methods took center stage at CASP14, with DeepMind’s Alphafold2 achieving remarkable accuracy. Baek <jats:italic>et al</jats:italic> . explored network architectures based on the DeepMind framework. They used a three-track network to process sequence, distance, and coordinate information simultaneously and achieved accuracies approaching those of DeepMind. The method, RoseTTA fold, can solve challenging x-ray crystallography and cryo–electron microscopy modeling problems and generate accurate models of protein-protein complexes. —VV </jats:p>
Palabras clave: Multidisciplinary.
Pp. 871-876
Mechanisms that ensure speed and fidelity in eukaryotic translation termination
Michael R. Lawson; Laura N. Lessen; Jinfan Wang; Arjun Prabhakar; Nicholas C. Corsepius; Rachel Green; Joseph D. Puglisi
<jats:title>How translation stops</jats:title> <jats:p> Protein synthesis concludes when a ribosome encounters a stop codon in a transcript, which triggers the recruitment of highly conserved release factors to liberate the protein product. Lawson <jats:italic>et al</jats:italic> . used traditional biochemical methods and single-molecule fluorescence assays to track the interplay of release factors with ribosomes and reveal the molecular choreography of termination. They identified two distinct classes of effectors, small molecules and mRNA sequences, that directly inhibited the release factors and promoted stop codon readthrough. These findings may buttress ongoing efforts to treat diseases caused by premature stop codons, which cause 11% of all heritable human diseases. —DJ </jats:p>
Palabras clave: Multidisciplinary.
Pp. 876-882
Mammalian retrovirus-like protein PEG10 packages its own mRNA and can be pseudotyped for mRNA delivery
Michael Segel; Blake Lash; Jingwei Song; Alim Ladha; Catherine C. Liu; Xin Jin; Sergei L. Mekhedov; Rhiannon K. Macrae; Eugene V. Koonin; Feng Zhang
<jats:title>Hitching a ride with a retroelement</jats:title> <jats:p> Retroviruses and retroelements have inserted their genetic code into mammalian genomes throughout evolution. Although many of these integrated virus-like sequences pose a threat to genomic integrity, some have been retooled by mammalian cells to perform essential roles in development. Segel <jats:italic>et al</jats:italic> . found that one of these retroviral-like proteins, PEG10, directly binds to and secretes its own mRNA in extracellular virus–like capsids. These virus-like particles were then pseudotyped with fusogens to deliver functional mRNA cargos to mammalian cells. This potentially provides an endogenous vector for RNA-based gene therapy. —DJ </jats:p>
Palabras clave: Multidisciplinary.
Pp. 882-889