Results 51 to 60 of about 129,844 (264)

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

Feature Selection in Decision Systems Based on Conditional Knowledge Granularity [PDF]

International Journal of Computational Intelligence Systems, 2011
Feature selection is an important technique for dimension reduction in machine learning and pattern recognition communities. Feature evaluation functions play essential roles in constructing feature selection algorithms.
Tingquan Deng, Chengdong Yang, Qinghua Hu   +2 more
doaj   +1 more source

Feature selection and replacement by clustering attributes [PDF]

Vietnam Journal of Computer Science, 2013
Feature selection is to find useful and relevant features from an original feature space to effectively represent and index a given dataset. It is very important for classification and clustering problems, which may be quite difficult to solve when the amount of attributes in a given training data is very large.
Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang, Bay Vo   +3 more
openaire   +1 more source

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

FEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source

Selecting Differentiated Costs between primary PCI and Thrombolytic Therapy using Hybrid of Genetic Algorithm and Decision Tree Approach

بیمارستان, 2015
Background: Myocardial Infarction (MI) is the most common cause of death in developed and developing countries. Based on World Health Organization prediction, MI will be the leading cause of death in the world up to 2020.
Masoumeh Saeedian, MohammadMehdi Sepehri, Hassan Aghajani, Toktam Khatibi   +3 more
doaj  

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Attribute Selection for Classification

, 2023
The selection of attributes used to construct a classification model is crucial in machine learning, in particular with instance similarity methods. We present a new algorithm to select and rank attributes based on weighing features according to their ability to help class prediction.
Serendero Sáez, Santiago Patricio, Toro Bonilla, Miguel   +1 more
openaire   +2 more sources

α‐Synuclein aggregation landscape from phase separation to neurotoxic intermediates

FEBS Letters, EarlyView.
Alpha‐synuclein aggregation in Parkinson's disease involves a complex landscape of transient intermediates, including oligomers, fibrils and liquid–liquid phase separation (LLPS). A view is emerging in which LLPS maturation into solid‐like condensates may contribute to the formation of neurotoxic species.
Silvia Arino, Giuliana Fusco, Alfonso De Simone   +2 more
wiley   +1 more source

Mining Complex Data Streams: Discretization, Attribute Selection and Classification

Journal of Advances in Information Technology, 2013
Due to the large volume of data set as well as complex and dynamic properties of data instances, several data mining algorithms have been applied for mining complex data streams in the last decades.
Dewan Md. Farid, Chowdhury Mofizur Rahman   +1 more
doaj   +1 more source