Results 91 to 100 of about 1,052,538 (294)

Versatile vector tools for efficient protein screening across multiple expression systems

FEBS Open Bio, EarlyView.
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu, Yaqing Liu, Lei Qin, Feng Yu, Qisheng Wang, Yahui Liu   +5 more
wiley   +1 more source

Nanopore sequencing enables novel detection of deuterium incorporation in DNA

Computational and Structural Biotechnology Journal
Identifying active microbes is crucial to understand their role in ecosystem functions. Metabolic labeling with heavy, non-radioactive isotopes, i.e., stable isotope probing (SIP), can track active microbes by detecting heavy isotope incorporation in ...
Christian Höner zu Siederdissen, Jannes Spangenberg, Kevin Bisdorf, Sebastian Krautwurst, Akash Srivastava, Manja Marz, Martin Taubert   +6 more
doaj   +1 more source

XSEDE High Throughput Computing Use Case L3 Architectural Response [PDF]

, 2016
This document is the Level 3 Architectural Response for the XSEDE High Throughput Computing use case.Submitted by Janet Brown (brown@psc.edu) on 2016-05-09T19:38:05Z No.

core  

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Screening for molecular glues – Challenges and opportunities

SLAS Discovery
Molecular glues are small molecules, typically smaller than PROTACs, and usually with improved physicochemical properties that aim to stabilise the interaction between two proteins.
Geoffrey A. Holdgate, Catherine Bardelle, Sophia K. Berry, Alice Lanne, Maria Emanuela Cuomo   +4 more
doaj   +1 more source

Deep Reinforcement Learning Based Admission Control for Throughput Maximization in Mobile Edge Computing

, 2021
With the development of wireless network technologies, Mobile Cloud Computing (MCC) has been proposed as a solution for mobile devices’ high-complexity computation.
Zhou, Yitong
core  

Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells

FEBS Open Bio, EarlyView.
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim, Marco Corazzari, Iman Osman, Jane Armstrong, Noel Carter   +4 more
wiley   +1 more source

Lossy Links, Low Power, High Throughput [PDF]

, 2011
As sensor networks move towards general-purpose low-power wireless networks, there is a need to support both traditional low-data rate traffic and high-throughput transfer.
Adam Dunkels, Österlind, Fredrik, Dunkels, Adam, Fredrik Österlind, Duquennoy, Simon, Simon Duquennoy   +5 more
core   +1 more source

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

FEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill, Hassan Yousef Othman AlMuallim, Elouisa Maddock, Carl Hobbs, Earl Clarke, Maria B. Goncalves, Jonathan P. T. Corcoran   +6 more
wiley   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source