Showing results (1081-1090 of 1,685) with videos related to
Sort By:
Pageof 169
Progress in Biophysics and Molecular Biology|April 17, 2023
Constrained disorder principle-based variability is fundamental for biological processes: Beyond biological relativity and physiological regulatory networksYaron IlanProgress in Biophysics and Molecular Biology|April 20, 2023
From traditional medicine to modern oncology: Scutellarin, a promising natural compound in cancer treatmentShadi Vesaghhamedani, Seyedeh Shabnam Mazloumi Kiapey, Arezoo Gowhari Shabgah, et al.Progress in Biophysics and Molecular Biology|May 3, 2023
Quantum noise may limit the mechanosensory sensitivity of cilia in the left-right organizer of the vertebrate bodyplanJulyan H E CartwrightProgress in Biophysics and Molecular Biology|May 7, 2023
The flexible and iterative steps within the NHEJ pathwayGo Watanabe, Michael R LieberProgress in Biophysics and Molecular Biology|August 9, 2020
In vitro cell stretching technology (IsoStretcher) as an approach to unravel Piezo1-mediated cardiac mechanotransductionYang Guo, Anna-Lena Merten, Ulrike Schöler, et al.Progress in Biophysics and Molecular Biology|August 8, 2020
Amorphous nickel titanium alloy film: A new choice for cryo electron microscopy sample preparationXiaojun Huang, Lei Zhang, Zuoling Wen, et al.Progress in Biophysics and Molecular Biology|August 2, 2020
Cellular senomic measurements in Cognition-Based EvolutionWilliam B Miller, František Baluška, John S TordayProgress in Biophysics and Molecular Biology|April 4, 2015
Multigenerational and transgenerational inheritance of drug exposure: The effects of alcohol, opiates, cocaine, marijuana, and nicotineNicole L Yohn, Marisa S Bartolomei, Julie A BlendyProgress in Biophysics and Molecular Biology|July 7, 2020
Intrinsic disorder in proteins: Relevance to protein assemblies, drug design and host-pathogen interactionsTom L Blundell, Munishwar N Gupta, Seyed E HasnainProgress in Biophysics and Molecular Biology|April 6, 2023
A systematic review and repeatability study on the use of deep learning for classifying and detecting tuberculosis bacilli in microscopic imagesThales Francisco Mota Carvalho, Vívian Ludimila Aguiar Santos, Jose Cleydson Ferreira Silva, et al.Pageof 169