Results 181 to 190 of about 940,524 (345)

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Performances of K-Means Clustering Algorithm with Different Distance Metrics

open access: yesIntelligent Automation and Soft Computing, 2021
Taher M. Ghazal   +7 more
semanticscholar   +1 more source

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

open access: yesFEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen   +9 more
wiley   +1 more source

Hybridization of particle swarm optimization with the K-Means algorithm for clustering analysis

open access: yes, 2010
Clustering is an unsupervised classification technique which deals with pattern recognition problems. While traditional analytical methods suffer from slow convergence and the challenges of high-dimensional. Recent years, particle swarm optimization (PSO)
Jin L(金莉)   +3 more
core  

Iron homeostasis disruption and lipid peroxidation in skeletal muscle during short‐term immobilization

open access: yesFEBS Open Bio, EarlyView.
14‐day casting‐induced immobilization reduced gastrocnemius muscle mass and increased non‐heme iron and ferritin heavy chain levels. Despite iron accumulation, transferrin receptor 1 and iron regulatory protein 2 were paradoxically upregulated. Lipid peroxidation was elevated without compensatory antioxidant responses.
Haruka Yokogawa   +2 more
wiley   +1 more source

MiR‐513a promotes human erythroid differentiation by modulating c‐Jun

open access: yesFEBS Open Bio, EarlyView.
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim   +11 more
wiley   +1 more source

Fuzzy Clustering Models for Gene Expression Data Analysis

open access: yes
With the advent of microarray technology, it is possible to monitor gene expression of tens of thousands of genes in parallel. In order to gain useful biological knowledge, it is necessary to study the data and identify the underlying patterns, which ...
Wang, Yu
core  

Decreased cold‐sensing function of the transient receptor potential channel TRPM8 from tailed amphibians

open access: yesFEBS Open Bio, EarlyView.
Despite frogs avoiding low temperatures, examination of four salamander species revealed that none avoided cold and all possessed cold tolerance. Functional analysis of TRPM8, a cold sensor, showed that all salamander TRPM8s had lost their cold sensitivity.
Tadahiro Sawao   +3 more
wiley   +1 more source

Ensemble based distributed k-harmonic means clustering

open access: yes, 2009
—Due to the explosion in the number of autonomous data sources, there is a growing need for effective approaches for distributed knowledge discovery and data mining. The distributed clustering algorithm is used to cluster the distributed datasets without
N. Karthikeyani Visalakshi, K. Thangavel
core  

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