Results 191 to 200 of about 1,088,260 (325)

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Foodborne Pathogens: Microbiology and Molecular Biology

Emerging Infectious Diseases, 2006
Sharon Balter
doaj   +1 more source

Using CRISPRi in <i>Escherichia coli</i> to emphasize experimental controls in a molecular microbiology laboratory. [PDF]

J Microbiol Biol Educ
Bullwinkle TJ.
europepmc   +1 more source

Microbial ecology of the skin in the era of metagenomics and molecular microbiology. [PDF]

Cold Spring Harb Perspect Med, 2013
Hannigan GD, Grice EA.
europepmc   +1 more source

Microbiological characteristics of clinical isolates of Cryptococcus neoformans in Taiwan: serotypes, mating types, molecular types, virulence factors, and antifungal susceptibility [PDF]

, 2009
Shwu‐Jen Liaw, Hui-Ching Wu, Po‐Ren Hsueh   +2 more
openalex   +1 more source

Genomic features of the Helicobacter pylori strain PMSS1 and its virulence attributes as deduced from its in vivo colonisation patterns

, 2018
Alikhan, Arnold, Aspholm, Aziz, Backert, Backert, Bankevich, Barrozo, Bartfeld, Bauer, Belogolova, Bonsor, Cao, Censini, Deguchi, Dixon, Draper, Farnbacher, Fischer, Gall, Gaudet, Gomez-Duarte, Gressmann, Higashi, Ishijima, Israel, Jang, Javaheri, Koch, Kusters, Königer, Lai, Lee, Lind, Linz, Lowenthal, Odenbreit, Olbermann, Philpott, Salama, Schmitt, Stein, Talarico, Tammer, Tan, Treangen, Viala, Zimmermann   +47 more
core   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

Advanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin, Jovanne Palvair, Lennie Messager, Jamal Bamoulid, Jasper Callemeyn, Mélanie Chaintreuil, Ludivine Dal Zuffo, Didier Ducloux, Imane Farhat, Mathieu Legendre, Laurent Martin, Florian Renosi, Xavier Roussel, Thibaut Vaulet, Maarten Naesens, Claire Tinel, Baptiste Lamarthée   +16 more
wiley   +1 more source

Concordance of molecular microbiology and conventional culture techniques for infected diabetic foot ulcer management. [PDF]

Diabet Med
Oates A, Brown ST, Everett CC, Game F, Nixon JE, Sloan T, Lister MM, Backhouse M, Lipsky BA, Russell D, Collier H, Dennett J, Gilberts R, Nelson EA.   +13 more
europepmc   +1 more source

A multidimensional approach to the management of severe asthma: Inflammometry, molecular microbiology and bronchial thermoplasty. [PDF]

Can Respir J, 2015
Cox C, Kjarsgaard M, Surette MG, Cox PG, Nair P.   +4 more
europepmc   +1 more source

The future of Microbiology and Molecular Biology Reviews

Corrella S. Detweiler
openalex   +2 more sources