Results 171 to 180 of about 184,759 (266)

The Natural Product Corramycin Acts as a DNA Gyrase Poison and Overcomes Fluoroquinolone Resistance in Mycobacterium tuberculosis

Advanced Science, EarlyView.
Corramycin, a myxobacterial natural product antibiotic, exhibits potent bactericidal activity against multidrug‐resistant Mycobacterium tuberculosis. The compound hijacks bacterial transporters such as BacA and OppABCD to enter the cell and inhibits DNA synthesis through a previously unrecognized mode of DNA gyrase poisoning, locking the enzyme in an ...
Franziska Fries, Jennifer Herrmann, Michael Dal Molin, Yaëlle Wormser, Timo Risch, Yunsheng Gao, Gareth Prosser, Francesca Gubellini, Ariel Mechaly, Joshua B. Wallach, Anthony Castro, Arka Banerjee, Sari Rasheed, Alexander Horn, Mathias Müsken, Michael Kurz, Lindsay Sonnenkalb, Viola Dreyer, Stefan Niemann, Sönke Andres, Dirk Schnappinger, Uli Kazmaier, Norbert Reiling, Rolf Müller, Jan Rybniker, Stéphanie Petrella   +25 more
wiley   +1 more source

Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification Performance. [PDF]

Brain Sci
Aracri F, Bianco MG, Quattrone A, Sarica A.   +3 more
europepmc   +1 more source

Transmogrified Imputation Algorithm for Clustering Data in Missing Data Imputation

International Journal for Research in Applied Science and Engineering Technology, 2019
openaire   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Unsupervised data imputation with multiple importance sampling variational autoencoders. [PDF]

Sci Rep
Kuang S, Huang Y, Song J.
europepmc   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity. [PDF]

IEEE Trans Knowl Data Eng
Min S, Asif H, Wang X, Vaidya J.
europepmc   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

TphPMF: A microbiome data imputation method using hierarchical Bayesian Probabilistic Matrix Factorization. [PDF]

PLoS Comput Biol
Han X, Song K.
europepmc   +1 more source