Results 101 to 110 of about 39,363 (239)
NMR 15N spin‐relaxation rates are a primary source of information for deciphering protein conformational dynamics, but they require unreasonable experimental times when their 1H‐15N 2D spectra are highly congested. We propose an ultra‐selective method, SNIPER, that greatly accelerates data collection of individual residues. This allows characterization
Wiktor Adamski +3 more
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In this document it is proposed to describe the plant site and to outline the nature of the pile in order to show the specific design and layout requirements for the production of plutonium by nuclear synthesis. The selection of the plant site involved a number of special considerations.
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Abstract Molecular simulation techniques have become an invaluable tool for elucidating the fundamental principles of life at the molecular level. After nearly five decades of development, biomolecular simulations have evolved to enable the quantitative characterization of complex biomolecular events, such as protein folding, conformational dynamics ...
Wenfei Li, Wei Wang
wiley +1 more source
Protein design and RNA design: Perspectives
Abstract Advances in deep learning and generative modeling have transformed the landscape of protein and RNA design, enabling rapid and precise creation of novel biomolecules with tailored structures and functions. In protein design, generative deep learning frameworks now support backbone generation, sequence optimization, and joint sequence–structure
Xi Chen, Xu Dai, Peilong Lu
wiley +1 more source
IDPs: Less Disordered and More Ordered than Expected [PDF]
In this issue of the Biophysical Journal, Solyom et al. (9) provide a telling example of structural preformation in intrinsically disordered proteins (IDPs) and the relevance of distinctly folded and compact conformational substates for molecular recognition processes.
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The war in Afghanistan, and the resulting increase in the number of refugees and internally displaced persons, focuses our attention on homelessness at an international level.
Bob Palmer, Les Brown, Samir Goswami
core
Plaque‐type trichoblastoma and its siblings: A (follicular tumour) family history
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Ines Bertlich +4 more
wiley +1 more source
Opportunities and challenges in protein structure prediction
Abstract Deep learning methods, particularly exemplified by AlphaFold2, have revolutionized the field of protein structure prediction—an achievement recognized by the 2024 Nobel Prize in Chemistry awarded to its core developers. Despite this remarkable achievement, the broader protein folding problem is far from solved. Key challenges—each representing
Wenkai Wang +3 more
wiley +1 more source

