Results 101 to 110 of about 3,447,982 (286)
Dataset on Scientometrics of Russian Scientists: eLibrary Case Study
A dataset of aggregated eLibrary data is presented. Parsing is performed using the Python language, the aim of the algorithm is to retrieve references with data on authors.
Anastasia E. Sudakova +1 more
doaj +1 more source
Ten simple rules for improving research data discovery. [PDF]
Contaxis N +10 more
europepmc +1 more source
Calpain small subunit homodimerization is robust and calcium‐independent
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
ImmuneData: an integrated data discovery system for immunology data repositories. [PDF]
Deng N, Wu C, Yaseen A, Wu H.
europepmc +1 more source
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
wiley +1 more source
Beacon v2 and Beacon networks: A "lingua franca" for federated data discovery in biomedical genomics, and beyond. [PDF]
Rambla J +14 more
europepmc +1 more source
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source
mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites. [PDF]
Mathur R +12 more
europepmc +1 more source
Symmetry discovery for different data types
Equivariant neural networks incorporate symmetries into their architecture, achieving higher generalization performance. However, constructing equivariant neural networks typically requires prior knowledge of data types and symmetries, which is difficult to achieve in most tasks.
Lexiang Hu, Yikang Li, Zhouchen Lin
openaire +3 more sources
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source

