Results 111 to 120 of about 19,302,461 (314)

Correction for Anand et al., TprC/D (Tp0117/131), a Trimeric, Pore-Forming Rare Outer Membrane Protein of Treponema pallidum, Has a Bipartite Domain Structure [PDF]

, 2014
Arvind Anand, Amit Luthra, Star Dunham-Ems, Melissa J. Caimano, Carson Karanian, Morgan LeDoyt, Adriana R. Cruz, Juan C. Salazar, Justin D. Radolf   +8 more
openalex   +1 more source

Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps [PDF]

, 2020
Dong Si, Spencer A. Moritz, Jonas Pfab, Jie Hou, Renzhi Cao, Liguo Wang, Tianqi Wu, Jianlin Cheng   +7 more
openalex   +1 more source

The trRosetta server for fast and accurate protein structure prediction

Nature Protocols, 2021
Zongyang Du, Hong Su, Wenkai Wang, Lisha Ye, Hong Wei, Zhenling Peng, I. Anishchenko, D. Baker, Jianyi Yang   +8 more
semanticscholar   +1 more source

An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots

FEBS Letters, EarlyView.
This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino, Meijie Li, Cécile Fizames, Mattia Adamo, Laurence Lejay, Christian Dubos, Matthieu Platre, Antoine Martin   +7 more
wiley   +1 more source

Comparison, Analysis, and Molecular Dynamics Simulations of Structures of a Viral Protein Modeled Using Various Computational Tools [PDF]

, 2023
Hemalatha Mani, Chun‐Chun Chang, Hao‐Jen Hsu, Chin-Hao Yang, Jui-Hung Yen, Je-Wen Liou   +5 more
openalex   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

MULTICOM2: an open-source protein structure prediction system powered by deep learning and distance prediction [PDF]

, 2021
Tianqi Wu, Jian Liu, Zhiye Guo, Jie Hou, Jianlin Cheng   +4 more
openalex   +1 more source

Multidimensional OMICs reveal ARID1A orchestrated control of DNA damage, splicing, and cell cycle in normal‐like and malignant urothelial cells

Molecular Oncology, EarlyView.
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser, Florian Krumbach, Eyleen Corrales, Geoffroy Andrieux, Christian Preisinger, Franziska Liss, Alexandra Golzmann, Melanie Boerries, Kerstin Becker, Ruth Knüchel, Stefan Garczyk, Bernhard Lüscher   +11 more
wiley   +1 more source

Expression and DNA methylation of 20S proteasome subunits as prognostic and resistance markers in cancer

Molecular Oncology, EarlyView.
Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla, Simone Venz, Ruslan Al‐Ali, Martin Wendlandt, Mandy Radefeldt, Elke Krüger   +5 more
wiley   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source