Results 211 to 220 of about 114,431,160 (255)

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells

Advanced Science, EarlyView.
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato, Jesús A. Andrés‐San Román, Juan Garrido‐García, Carmen Gordillo‐Vázquez, Ana M. Palacios, Elisabeth Lidueña‐Fernández, Katie McDole, Pedro Gómez‐Gálvez, Valentina Annese, Luis M. Escudero   +9 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Epigenetic Reactivation of TNFRSF19 Suppresses Mitophagy and Sensitizes Triple‐Negative Breast Cancer to Doxorubicin

Advanced Science, EarlyView.
TNFRSF19 is an epigenetically silenced regulator of mitophagy in triple‐negative breast cancer. TNFRSF19 deficiency activates the TGFBR1–SMAD3–PINK1 axis to promote mitophagy and confer doxorubicin resistance, whereas decitabine‐mediated restoration of TNFRSF19 suppresses mitophagy and enhances doxorubicin sensitivity, revealing a targetable epigenetic–
Shiyang Liu, Chenguang Liu, Weihong Zheng, Xiaofei Tong, Zhengwei Gui, Zonghong Lu, Sun Ieong, Lin Zhang   +7 more
wiley   +1 more source

TECTB Variants Reveal Tectorial Membrane Vulnerability in Dominant Non‐Syndromic Hearing Loss

Advanced Science, EarlyView.
TECTB is a non‐collagenous protein of the tectorial membrane – an extracellular matrix of the cochlea. This study identifies dominant missense variants in TECTB linked to human hereditary deafness in two unrelated families. Genetically engineered mice homozygous for one of the variants are profoundly deaf, whereas heterozygous mice have normal hearing ...
Evan B. Hale, Barbara Vona, Richard J. Goodyear, Richard T. Osgood, Jun Shen, Sami S. Amr, Karen Mojica, Michaela A. H. Hofrichter, Jörg Schröder, Sophie Flandin, Paul Gratias, Ricardo Vera‐Monroy, Katherine Callahan, Kerry L. Gudlewski, Rolen Quadros, Masato Ohtsuka, JoAnn McGee, Edward J. Walsh, Cynthia C. Morton, Thomas Haaf, Channabasavaiah Gurumurthy, James E. Saunders, Guy P. Richardson, Artur A. Indzhykulian   +23 more
wiley   +1 more source

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In Silico Modeling of Crabtree Effect

Endocrine, Metabolic and Immune Disorders - Drug Targets, 2017
Glycolytic activity during Crabtree effect is similar to that in tumor cells. Research regarding Crabtree effect is very much crucial.The mechanism of metabolic activities in glycolysis pathway and oxidative phosphorylation pathway in regards to Crabtree effect in Saccharomyces cerevisiae was studied in this paper.
Rajat K De, Debraj Ghosh
exaly   +3 more sources

Towards in silico Process Modeling for Vaccines

Trends in Biotechnology, 2021
Chemical, manufacturing, and control development timelines occupy a significant part of vaccine end-to-end development. In the on-going race for accelerating timelines, in silico process development constitutes a viable strategy that can be achieved through an artificial intelligence (AI)-driven or a mechanistically oriented approach.
Moritz von Stosch, Rui M C Portela, Christos Varsakelis   +2 more
exaly   +3 more sources

Moving Average-Based Multitasking In Silico Classification Modeling: Where Do We Stand and What Is Next?

International Journal of Molecular Sciences, 2022
Conventional in silico modeling is often viewed as ‘one-target’ or ‘single-task’ computer-aided modeling since it mainly relies on forecasting an endpoint of interest from similar input data.
Ana S Moura, Amit Kumar Halder, M Natália D S Cordeiro   +2 more
exaly   +2 more sources

In Silico Models for Hepatotoxicity

2022
In this chapter, we review the state of the art of predicting human hepatotoxicity using in silico techniques. There has been significant progress in this area over the past 20 years but there are still some challenges ahead. Principally, these challenges are our partial understanding of a very complex biochemical system and our ability to emulate that
Claire, Ellison, Mark, Hewitt, Katarzyna, Przybylak   +2 more
openaire   +2 more sources

Methods and Applications of In Silico Aptamer Design and Modeling

International Journal of Molecular Sciences, 2020
Aptamers are nucleic acid analogues of antibodies with high affinity to different targets, such as cells, viruses, proteins, inorganic materials, and coenzymes. Empirical approaches allow the design of in vitro aptamers that bind particularly to a target
Alexey Samokhvalov, Andrey Buglak, Anatoly Zherdev   +2 more
exaly   +2 more sources

In silico modeling of asthma

Advanced Drug Delivery Reviews, 2003
The incidence of asthma is increasing throughout the world, especially among children, to the extent that it has become a medical issue of serious global concern. Appropriately, numerous pharmacologic drugs and clinical protocols for the treatment and prophylaxis of the disease have been reported.
Martonen, Ted, Fleming, John, Schroeter, Jeffrey, Conway, Joy, Hwang, Dongming   +4 more
openaire   +3 more sources