Results 131 to 140 of about 27,600,540 (304)
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Self-supervised learning is a method that learns the data representation through unlabeled data. It is efficient because it learns from large-scale unla-beled data and through continuous research, performance comparable to supervised learning has been ...
Joonsun Auhn, Changsik Cho, Seon-tae Kim
doaj +1 more source
This repository contains the data and original code to replicate the results and plots of the publication ‘Differential representation of sensory information and behavioural choice across layers of the mouse auditory cortex’.Legend text files are ...
Steinfeld, R (via Mendeley Data) +1 more
core +1 more source
Data Representation in Big data via succinct data structures
Data Representation in memory is one of the tasks in Big data. Data representation includes several types of tree data structures through the system can access accurate and efficient data in big data.
Jayant Shekhar +2 more
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
EEG Topographical Representation of the public dataset 2008 BCI competition IV-2a
This data set is for the paper of Learning EEG Topographical Representation for Classification via Convolutional Neural Network, providing part of the experimental results and running procedures.To run the sample code provided, please unzip the zip file ...
Xu, Meiyan, Xu, M (via Mendeley Data)
core +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Yet Another Compact Time Series Data Representation Using CBOR Templates (YACTS). [PDF]
Molina Araque S +4 more
europepmc +1 more source
Representation, Interpretation, and Surrogative Reasoning [PDF]
In this paper, I develop Mauricio Suárez’s distinction between denotation, epistemic representation, and faithful epistemic representation. I then outline an interpretational account of epistemic representation, according to which a vehicle represents a ...
Contessa, Gabriele
core

