Results 281 to 290 of about 1,906,656 (324)

Biolinguistic graph fusion model for circRNA-miRNA association prediction. [PDF]

Brief Bioinform
Guo LX, Wang L, You ZH, Yu CQ, Hu ML, Zhao BW, Li Y.   +6 more
europepmc   +1 more source

Antibiofilm activity of a chionodracine‐derived peptide by NMR‐based metabolomics of cell‐free supernatant of Acinetobacter baumannii clinical strains

FEBS Open Bio, EarlyView.
KHS‐Cnd peptide is able to impair biofilm formation and disaggregate mature biofilms in Acinetobacter baumannii clinical isolates. Differences in extracellular metabolites reflect changes in biofilm metabolism due to KHS‐Cnd treatment. Among the differentially represented extracellular metabolites upon KHS‐Cnd treatment, the significantly altered ...
Fernando Porcelli, Enrico Landi, Francesco Maiurano, Irene Paris, Rosanna Papa, Marco Artini, Laura Selan, Stefano Borocci, Francesco Buonocore, Esther Imperlini   +9 more
wiley   +1 more source

HGSMDA: miRNA-Disease Association Prediction Based on HyperGCN and Sørensen-Dice Loss. [PDF]

Noncoding RNA
Chang Z, Zhu R, Liu J, Shang J, Dai L.
europepmc   +1 more source

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

FEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig, Swanhild Lohse, Sara Elahi, Nils Hartmann, Stefanie Deckert, Shutian Si, Alexander Desuki, Anja Harder   +7 more
wiley   +1 more source

HHOMR: a hybrid high-order moment residual model for miRNA-disease association prediction. [PDF]

Brief Bioinform
Li Z, Wan L, Wang L, Wang W, Nie R.
europepmc   +1 more source

TMC4 localizes to multiple taste cell types in the mouse taste papillae

FEBS Open Bio, EarlyView.
Transmembrane channel‐like 4 (TMC4), a voltage‐dependent chloride channel, plays a critical role in amiloride‐insensitive salty taste transduction. TMC4 is broadly expressed in all mature taste cell types, suggesting a possible involvement of multiple cell types in this pathway.
Momo Murata, Yoshikazu Saito, Yoichi Kasahara, Wataru Fujii, Takumi Misaka, Tomiko Asakura, Masataka Narukawa   +6 more
wiley   +1 more source

Enhancing Oncological Care for India's Aging Population: Addressing the Complex Needs of Older Adults With Cancer

Aging and Cancer, EarlyView.
Aging‐associated physiological and molecular alterations pose significant challenges in cancer management among India's elderly. Limited geriatric oncology expertise, financial constraints, and inadequate specialized care exacerbate disparities. Strategic expansion of insurance coverage, integration of palliative care, and infrastructural advancements ...
Nihanthy D. Sreenath, Mathigatta Shivarudraiah S, Rajath Govind, Kaushik M R   +3 more
wiley   +1 more source

Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA-gene-disease networks. [PDF]

Brief Bioinform
Si Y, Huang Z, Fang Z, Yuan Z, Huang Z, Li Y, Wei Y, Wu F, Yao YF.   +8 more
europepmc   +1 more source

Institutional Policies on Artificial Intelligence in Higher Education: Frameworks and Best Practices for Faculty

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores institutional policies on artificial intelligence (AI) in higher education. As AI tools become increasingly utilized in academia—from research and teaching to assessment and student support—institutions face growing pressure to establish clear, ethical, and practical guidelines to help guide faculty.
Lauren Azevedo, Pedro Robles, Eric Best, Daniel J. Mallinson   +3 more
wiley   +1 more source

A method for miRNA diffusion association prediction using machine learning decoding of multi-level heterogeneous graph Transformer encoded representations. [PDF]

Sci Rep
Wen S, Liu Y, Yang G, Chen W, Wu H, Zhu X, Wang Y.   +6 more
europepmc   +1 more source