Results 181 to 190 of about 6,848,180 (327)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Unexpected Dual Function of Plant YUCCA Enzymes Links Chlorophyll Catabolism to Auxin Homeostasis

Angewandte Chemie, EarlyView.
YUCCA enzymes are well known to catalyze the main step of auxin biosynthesis in plants. Here, a hitherto undescribed dual function was discovered, revealing that some YUCCAs also act in chlorophyll degradation. In vitro feedback regulation furthermore suggests a link between chlorophyll degradation and hormone homeostasis and a physiological role of ...
Sina Rütschlin, Lei Zhang, Cornelia A. Karg, Michael Zwerger, Johanna M. Gostner, Simone Moser, Robin Teufel   +6 more
wiley   +2 more sources

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

PCA‐Based Database Mining Enables the Discovery of Bacterial Carbene Transferases for Stereodivergent Cyclopropanation

Angewandte Chemie, EarlyView.
Database mining using principal component analysis (PCA)‐based clustering enabled discovery of bacterial enzymes capable of catalyzing stereodivergent cyclopropanation of styrene. Statistical analyses of sequence data further revealed characteristic structural properties of these enzymes, highlighting the potential of the bioinformatics tools for ...
Shunsuke Kato, Koki Takeuchi, Kohei Umeda, Hisashi Kudo, Tomohisa Hasunuma, Takashi Hayashi   +5 more
wiley   +2 more sources

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Phylogenomics, ecomorphological evolution, and historical biogeography in Deuterocohnia (Bromeliaceae: Pitcairnioideae)

American Journal of Botany, EarlyView.
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li, Nicole Schütz, Kurt Weising, Georg Zizka, Jacob B. Landis, Thomas J. Givnish   +5 more
wiley   +1 more source

Genotypes and Phenotypes of Patients With TSPEAR‐Related Disorder: Evidence of a Predominant Dental Phenotype

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT TSPEAR (chr. 21q22.3) encodes a protein involved in tooth development and is predominantly expressed in the enamel knot. Biallelic loss of function variants in TSPEAR cause ectodermal dysplasia, tooth agenesis and sensorineural hearing loss. However, the role of TSPEAR in auditory processes is unclear.
Debora Vergani, Lucia Tiberi, Annarita Giliberti, Elia Dirupo, Laila Zaroili, Francesco Brancati, Michela Brena, Stefano Caraffi, Chiara De Luca, Livia Garavelli, Anna Virginia Gulino, Milena Mariani, Marzia Pollazzon, Angelo Selicorni, Samuela Landini, Ilaria Sani, Rosangela Artuso, Angela Peron   +17 more
wiley   +1 more source

Multimorbidity and animal models

Animal Models and Experimental Medicine, EarlyView.
Multimorbidity, defined as the coexistence of ≥2 chronic conditions, is associated with aging, genetics, and environmental factors. Animal models in multimorbidity research span three tiers: simple organisms for initial screening → rodents for mechanistic analysis → large mammals for clinical prediction.
Xinpei Wang, Yakun Ren, Xingjiu Yang, Mengyuan Li, Junxiu Liu, Xiaoyan Du, Wen Wang, Ran Gao   +7 more
wiley   +1 more source

Anatomical Associations Between Focal Mitochondrial Metabolism and Patterns of Neurodegeneration in Amyotrophic Lateral Sclerosis

Annals of Neurology, EarlyView.
Objective Amyotrophic lateral sclerosis (ALS) has a very specific neuroimaging signature, but the molecular underpinnings of the strikingly selective anatomic involvement have not elucidated to date. Accordingly, a large neuroimaging study was conducted with 258 participants to evaluate associations between patterns of neurodegeneration and focal ...
Marlene Tahedl, We Fong Siah, Efstratios Karavasilis, Jennifer C. Hengeveld, Mark A. Doherty, Russell L. McLaughlin, Orla Hardiman, Ee Ling Tan, Foteini Christidi, Jana Kleinerova, Peter Bede   +10 more
wiley   +1 more source

Decoding the Pathophysiology of Autoimmune Diseases—Mechanism, Triggers, and Nanotherapeutics: A Review

Advanced NanoBiomed Research, EarlyView.
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari, Yunhui Min, Eun‐Ju Ko, Doyoung Kwon, Rehan Khan, Young‐Ok Son   +5 more
wiley   +1 more source