Results 141 to 150 of about 559,429 (351)
Appressoria are specialized penetration structures for many plant pathogenic fungi, demanding precise cell cycle control. This study unveils MoMtg1 as a transcriptional repressor of MoSwi6, orchestrating MoCYC1 expression during turgor‐driven cell cycle progression to enable appressorium‐mediated penetration. Moreover, a small‐molecule inhibitor ZS1619
Xingyu Wang+11 more
wiley +1 more source
Reversal of Mating Preference by Crossing Strains of Drosophila melanogaster [PDF]
Graham Tebb, J. M. Thoday
openalex +1 more source
Enhancer Reprogramming Reveals the Tumorigenic Role of PTPRZ1 in Lung Squamous Cell Carcinoma
Lung squamous cell cancer (LUSC) is deadly due to lack of good treatments. Here, multiomics techniques are applied to LUSC tumors and find thousands of cancer‐specific enhancers controlling key genes. Interestingly, the gene PTPRZ1 is identified as a critical oncogene driven by the LUSC‐acquired enhancers. PTPRZ1 is activated by MDK, fueling cancer via
Yong‐Qiang Ning+11 more
wiley +1 more source
Chromosomal Re-arrangements in the Progeny of Drosophila Males treated with Mustard Gas [PDF]
Majida Mehtab
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Structural Basis of GABAB Receptor Activation during Evolution
This study explores the structural and functional mechanisms of the drosophila GABAB receptor, a key role in neurotransmission. Using cryo‐EM, the research reveals how the receptor's activation differs from its human counterpart, highlighting unique evolutionary features.
Guofei Hou+14 more
wiley +1 more source
An Effect of Temperature and Age on Crossing-Over in the First Chromosome of Drosophila Melanogaster [PDF]
Curt Stern
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Biomolecular Interaction Prediction: The Era of AI
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley +1 more source
THEWILLISTONIGROUP OF SIBLING SPECIES OFDROSOPHILA [PDF]
H. Burla+5 more
openalex +1 more source
Interpretation of RNA Universe and Coding Potential Using IntRNA
This study constructs a multi‐channel deep learning framework IntRNA to interpret RNA universe and coding potential. IntRNA consistently performed the best among existing methods in various benchmarks. Moreover, IntRNA’s interpretability is also validated by real‐world analysis, which found some features indicating long‐distance contact between ...
Yunxia Wang+8 more
wiley +1 more source