Results 181 to 190 of about 71,233 (313)
Crystallization and preliminary X-ray diffraction analysis of a putative two-domain-type laccase from a metagenome [PDF]
Hirofumi Komori+2 more
openalex +1 more source
Comparison of multiple metagenomes using phylogenetic networks based on ecological indices [PDF]
Suparna Mitra+3 more
openalex +1 more source
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu+38 more
wiley +1 more source
Graphical Abstract and Lay Summary This study identified novel xylose isomerases (XIs) from ruminal microbiota using omics data. Five Bacillota XIs were efficiently expressed in Saccharomyces cerevisiae, enabling effective conversion of xylose into xylulose and subsequent ethanol production.
Beatriz de Oliveira Vargas+8 more
wiley +1 more source
Identification and characterization of a novel fumarase gene by metagenome expression cloning from marine microorganisms [PDF]
Chengjian Jiang+14 more
openalex +1 more source
Individually housed (IH) and pair‐housed (PH), male and female, Wistar Kyoto rats were assessed for differences in behavior and gut microbiome after 5 weeks of differential housing, anticipating the IH animals would display increased anxiogenic behaviors.
Charlotte Hurst+8 more
wiley +1 more source
Gene Network Visualization and Quantitative Synteny Analysis of more than 300 Marine T4-Like Phage Scaffolds from the GOS Metagenome [PDF]
A. Comeau+2 more
openalex +1 more source
ABSTRACT Background and Objectives We aimed to conduct a systematic review and meta‐analysis of high‐throughput sequencing studies to assess changes in microbiome alpha, beta diversity, and composition differences in patients with human papillomavirus (HPV) infection and cervical cancer.
Wei Zhang+6 more
wiley +1 more source
XenoBug: machine learning-based tool to predict pollutant-degrading enzymes from environmental metagenomes. [PDF]
Malwe AS, Longwani U, Sharma VK.
europepmc +1 more source