Results 71 to 80 of about 3,487,202 (255)
FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
Using Dimensionality Reduction to Analyze Protein Trajectories
Frontiers in Molecular Biosciences, 2019 In recent years the analysis of molecular dynamics trajectories using dimensionality reduction algorithms has become commonplace. These algorithms seek to find a low-dimensional representation of a trajectory that is, according to a well-defined ...
Gareth A. Tribello, Piero Gasparotto
doaj +1 more source
Dimensionality Reduction and Feature Selection using a Mixed-norm Penalty Function
, 2006 Dimensionality reduction, which is the process of mapping high-dimension patterns to lower dimension subspaces, is a key issues in enhancing the processing efficiency of high dimensional data such as hyperspectral images.
Zeng, Huiwen
core
Dimensionality and prototype reduction techniques for pattern analysis
, 2007 This thesis investigates two important topics in the statistical pattern recognition field, namely dimensionality reduction for supervised classification and prototype reduction for unsupervised classification.
Qin, Kai
core +1 more source
Artificial molecular machines and motors—Design and control of nanoscale motion
FEBS Letters, EarlyView.Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source
Two-Stage Dimensionality Reduction for Social Media Engagement Classification
Applied SciencesThe high dimensionality of real-life datasets is one of the biggest challenges in the machine learning field. Due to the increased need for computational resources, the higher the dimension of the input data is, the more difficult the learning task will ...
Jose Luis Vieira Sobrinho +2 more
doaj +1 more source
Lysyl oxidase (LOX)‐mediated remodeling of the extracellular matrix
FEBS Letters, EarlyView.The lysyl oxidase (LOX) family of enzymes drives extracellular matrix remodeling by oxidizing collagen, elastin, and fibronectin, promoting covalent cross‐link formation. This activity regulates tissue architecture and mechanical properties, while its dysregulation contributes to fibrosis, cardiovascular disease, glaucoma, connective tissue disorders ...
Fernando Rodríguez‐Pascual +3 more
wiley +1 more source
Dimensionality Reduction Algorithms on High Dimensional Datasets
Emitter: International Journal of Engineering Technology, 2014 Classification problem especially for high dimensional datasets have attracted many researchers in order to find efficient approaches to address them. However, the classification problem has become very complicatedespecially when the number of possible ...
Iwan Syarif
doaj +3 more sources
Smaller is better: nanobodies meet NMR
FEBS Letters, EarlyView.Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source
Robust dimensionality reduction for interferometric imaging of Cygnus A [PDF]
Extremely high data rates expected in next-generation radio interferometers necessitate a fast and robust way to process measurements in a big data context.
Thiran, Jean-Philippe +3 more
core +1 more source