Results 131 to 140 of about 562,066 (309)

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

Molecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington, Divya L. Dayanidhi, Mohammad Zokaasadi, John B. Mantyh, Pelumi D. Olawuni, Gabrielle Rupprecht, Jeremy M. Force, Shannon McCall, Ashwani K. Bahl, David S. Hsu, Jason A. Somarelli   +10 more
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

A syntactic skeleton for statistical machine translation [PDF]

, 2006
We present a method for improving statistical machine translation performance by using linguistically motivated syntactic information. Our algorithm recursively decomposes source language sentences into syntactically simpler and shorter chunks, and ...
Mellebeek, Bart, Bart Mellebeek, Declan Groves, Josef Van Genabith, Andy Way, Way, Andy, Owczarzak, Karolina, Groves, Declan, Karolina Owczarzak, van Genabith, Josef   +9 more
core  

Readability, Fluency and Error identification when using Machine Translation and AI to translate medical research texts

Langue(s) & Parole
With the improvements in the algorithms used to develop online machine translation tools and the growing relevance of AI there is a raising concern related to the quality of these tools’ outputs.
Raquel Moreira
doaj   +1 more source

Coupling of translation quality control and mRNA targeting to stress granules. [PDF]

J Cell Biol, 2020
Moon SL, Morisaki T, Stasevich TJ, Parker R.   +3 more
europepmc   +1 more source

Quality Aspects In Institutional Translation: Introduction

, 2017
Introduction to the ...
Łoboda, Krzysztof, Svoboda, Tomáš, Biel, Łucja   +2 more
openaire   +4 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Parallel Treebanks in Phrase-Based Statistical Machine Translation [PDF]

, 2009
Given much recent discussion and the shift in focus of the field, it is becoming apparent that the incorporation of syntax is the way forward for the current state-of-the-art in machine translation (MT).
Tinsley, John, Hearne, Mary, Way, Andy
core  

Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals. [PDF]

Nat Commun, 2020
Popel M, Tomkova M, Tomek J, Kaiser Ł, Uszkoreit J, Bojar O, Žabokrtský Z.   +6 more
europepmc   +1 more source