Results 111 to 120 of about 1,720,597 (315)

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

Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators [PDF]

, 2011
The simultaneous prediction of average and actual values of study variable in a linear regression model is considered in this paper. Generally, either of the ordinary least squares estimator or Stein-rule estimators are employed for the construction of ...
Shalabh, Shalabh, Heumann, Christian
core   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

FEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee, Junho Jeong, Chae Yeong Lee, Hyunjoon Cho, Man Hwan Oh, Je Chul Lee, Jee‐Young Lee, Yangmee Kim   +7 more
wiley   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

IEEE March 2003 63

, 2008
iations of the PPM model attempt to avoid this overhead by having the servers collect access information for specified documents in near real time, but they sacrifice prediction accuracy because there is less historical information.
Web Prefetching, Popularity-Based Prediction Model, Mary   +2 more
core  

A Prediction Model for Chemotherapy-Induced Thrombocytopenia Based on Real-World Data and a Close Relationship Between AST/ALT Ratio and Platelet Count in Patients with Solid Tumors [Corrigendum]

International Journal of General Medicine, 2022
Song B, Zhou S, Li C, et al. Int J Gen Med. 2022;15:8003–8015. The authors have advised the author and affiliations list on page 8003 is incorrect. The correct details are as follows.
Song B, Zhou S, Li C, Zheng H, Zhang X, Jin X, Fu J, Hu H   +7 more
doaj  

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model [PDF]

Electricity demand prediction is crucial to ensure the operational safety and cost-efficient operation of the power system. Electricity demand has predominantly been predicted deterministically, while uncertainty analysis has been usually overlooked.
Deo, Ravinesh C., Pourmousavi, S. Ali, Ghimire, Sujan, Salcedo-Sanz, Sancho, Casillas-Pérez, David   +4 more
core   +1 more source

Neural–genetic–environmental evidence for a disease factor in mental and physical health multimorbidity

Nature Communications
Increasing evidence reveals the presence of multimorbidity across physical and mental disorders. A general disease factor (d factor) has been recently identified to capture the shared liability across these conditions, yet its biological basis remains ...
Jin Chen, Yuning Zhang, Shu Liu, Miguel Garcia-Argibay, Tianye Jia, Jujiao Kang, Wei Li, Marco Solmi, Hongyi Sun, Wenqi Liu, Congying Chu, Samuele Cortese, Jiaojian Wang   +12 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source