Results 21 to 30 of about 45,576 (293)

A ceRNA hypothesis: the Rosetta stone of a hidden RNA language?

open access: yesCell, 2011
Summary Here we present a unifying hypothesis about how messenger RNAs, transcribed pseudogenes, and long non-coding RNAs “talk” to each other using microRNA response elements (MREs) as letters of a new language.
L. Salmena   +4 more
semanticscholar   +1 more source

Heavy Metal Contamination of the River Nile Environment, Rosetta Branch, Egypt

open access: yesWater, Air and Soil Pollution, 2022
The Rosetta Branch is one of Egypt’s most important Nile River branches, providing freshwater to multiple cities. However, its water quality has been deteriorating, with various wastes containing high loads of heavy metals being discharged into its body ...
A. D. Al-Afify, A. Abdel-Satar
semanticscholar   +1 more source

Mutational scanning reveals the determinants of protein insertion and association energetics in the plasma membrane

open access: yeseLife, 2016
Insertion of helix-forming segments into the membrane and their association determines the structure, function, and expression levels of all plasma membrane proteins. However, systematic and reliable quantification of membrane-protein energetics has been
Assaf Elazar   +5 more
doaj   +1 more source

MONITORING WATER INTAKES OF EL-GEDIA AND EDFINA DRINKING WATER PLANTS AS A RESULT OF ROSETTA BRANCH POLLUTION CASE STUDY EDKU-ROSETTA [PDF]

open access: yesJournal of Environmental Science, 2019
River Nile is the most important and principal source of fresh water for Egyptians. Rosetta branch supplies fresh water for the governorates of Western Delta (Giza, Qaliubia, Menofia, Kafr El-Sheikh, Beheira and Alexandria).
Alaa E. Hagy   +2 more
doaj   +1 more source

Rosetta: Large Scale System for Text Detection and Recognition in Images [PDF]

open access: yesKnowledge Discovery and Data Mining, 2018
In this paper we present a deployed, scalable optical character recognition (OCR) system, which we call Rosetta , designed to process images uploaded daily at Facebook scale.
Fedor Borisyuk   +2 more
semanticscholar   +1 more source

Quinze anys de traducció automàtica a l’Estat espanyol

open access: yesDigithum, 2000
Mai cap fabricant no ha fet una màquina de rentar automàtica que escarneixi la fesomia d'una rentadora humana. Els enginyers han adaptat la tecnologia a la feina i han aconseguit andròmines cúbiques amb aparença de moble de cuina, en comptes d'androides ...
Joseba Abaitua
doaj   +1 more source

The Rosetta all-atom energy function for macromolecular modeling and design

open access: yesbioRxiv, 2017
Over the past decade, the Rosetta biomolecular modeling suite has informed diverse biological questions and engineering challenges ranging from interpretation of low-resolution structural data to design of nanomaterials, protein therapeutics, and ...
Rebecca F. Alford   +19 more
semanticscholar   +1 more source

Modeling of protein conformational changes with Rosetta guided by limited experimental data

open access: yesbioRxiv, 2022
Conformational changes are an essential component of functional cycles of many proteins such as transporters or receptors. Despite their importance, the characterization of functionally-relevant structural intermediates is often a hard task for both ...
D. Sala   +3 more
semanticscholar   +1 more source

Adeno‐associated virus serotype 2 capsid variants for improved liver‐directed gene therapy

open access: yesHepatology, EarlyView., 2022
Abstract Background and Aims Current liver‐directed gene therapies look for adeno‐associated virus (AAV) vectors with improved efficacy. With this background, capsid engineering is explored. Whereas shuffled capsid library screenings have resulted in potent liver targeting variants with one first vector in human clinical trials, modifying natural ...
Nadja Meumann   +25 more
wiley   +1 more source

Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14

open access: yesProteins: Structure, Function, and Bioinformatics, 2021
The trRosetta structure prediction method employs deep learning to generate predicted residue‐residue distance and orientation distributions from which 3D models are built.
I. Anishchenko   +8 more
semanticscholar   +1 more source

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