Results 101 to 110 of about 27,025 (207)

Conformational dynamics in insulin receptor kinase reveal a type III allosteric pocket

Protein Science, Volume 35, Issue 2, February 2026.
Abstract Allosteric modulation is a promising strategy for selective kinase inhibition, yet structural insights into allosteric pockets remain limited across the human kinome. In this work, we present comprehensive characterization of a type III allosteric pocket in the insulin receptor kinase (IRK), integrating structural, conformational, and ...
Jyoti Verma, Harish Vashisth
wiley   +1 more source

Uncovering Sequence and Structural Characteristics of Fungal Expansin‐Related Proteins With Potential to Drive Substrate Targeting

Proteins: Structure, Function, and Bioinformatics, Volume 94, Issue 2, Page 547-557, February 2026.
ABSTRACT Expansins loosen plant cell wall networks through disrupting non‐covalent bonds between cellulose microfibrils and matrix polysaccharides. Whereas expansins were first discovered in plants, expansin‐related proteins have since been identified in bacteria and fungi.
Anna Pohto, Taru Koitto, Deepika Dahiya, Alessandra Castro, Elizaveta Sidorova, Martina Huusela, Scott E. Baker, Adrian Tsang, Emma Master   +8 more
wiley   +1 more source

DBSCAN in Domains with Periodic Boundary Conditions

Journal of Open Research Software
Many scientific problems involve data that is embedded in a space with periodic boundary conditions. For instance, this can be related to an inherent cyclic or rotational symmetry in the data or a spatially extended periodicity. When analyzing such data,
Xander M. de Wit, Alessandro Gabbana
doaj   +1 more source

Flow History Effects on River Bifurcation Dynamics in a Himalayan River

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Dynamic gravel bed rivers experience frequent changes in channel position and flow distribution between branches, which can alter the location and extent of flooding. Changes in flow routing can significantly impact livelihoods, habitats and infrastructure in adjacent floodplains. Here, we test whether variations in seasonal discharge patterns
C. Cload, M. J. Creed, E. H. Dingle, L. Quick   +3 more
wiley   +1 more source

GO-DBSCAN: Improvements of DBSCAN Algorithm Based on Grid [PDF]

International Journal of Computer Theory and Engineering, 2017
Ling Feng, Kejian Liu, Fuxi Tang, Qingrui Meng   +3 more
openaire   +1 more source

Distinct Cloud‐to‐Ground Lightning Properties in Frontal Versus Warm‐Sector Heavy Rainfall Events

Earth and Space Science, Volume 13, Issue 2, February 2026.
Abstract Do systematic differences in cloud‐to‐ground (CG) lightning properties—particularly return stroke number and current intensity—exist across different thunderstorm types? This question is foundational not only to the atmospheric electricity but also to advancing lightning risk prediction, which crucially depends on a robust understanding of how
Xiaotian Wu, Dong Zheng, Yijun Zhang, Jie Feng, Naigeng Wu, Wen Yao, Hai Yu   +6 more
wiley   +1 more source

IMPLEMENTATION OF THE DBSCAN ALGORITHM FOR CLUSTERING STUNTING PREVALENCE TYPOLOGY IN WEST JAVA, CENTRAL JAVA, AND EAST JAVA REGIONS

Barekeng
Stunting, a condition where children are malnourished for a long period, causes growth failure in children. West Java, Central Java, and East Java are the 3 provinces with the highest prevalence of stunting in 2021.
Bagus Sumargo, Kadir Kadir, Dena Safariza, Munawar Asikin, Dania Siregar, Nilam Novita Sari, Danu Umbara, Rizky Hilmianto, Robert Kurniawan, Irman Firmansyah   +9 more
doaj   +1 more source

Toward Systematic Modeling of Volcano Deformation Sources Using Automatically‐Generated InSAR Products

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 2, February 2026.
Abstract Volcano deformation measured through Interferometric Synthetic Aperture Radar (InSAR) is ideal for volcano monitoring in many regions due to its global coverage, characteristic spatio‐temporal patterns, and modeling insights. Routinely acquired and processed Sentinel‐1 InSAR datacubes provide the first opportunity to systematically catalog ...
B. Ireland, J. Biggs, N. Anantrasirichai, F. Albino, E. W. Dualeh   +4 more
wiley   +1 more source

Impact‐Based Drought Detection via Interpretable Machine Learning and Causal Discovery

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The intensification of drought events due to climate change presents unprecedented risks and widespread socioenvironmental impacts. Traditional drought indices, which rely on hydrometeorological anomalies, often fall short in capturing the full extent of these impacts, as they primarily focus on isolated precursors (e.g., precipitation deficit
Paolo Bonetti, Matteo Giuliani, Teo Bucci, Veronica Cardigliano, Alberto Maria Metelli, Marcello Restelli, Andrea Castelletti   +6 more
wiley   +1 more source

An Effective Monitoring of Evolving Groundwater Drought via Multivariate Data Assimilation and Machine Learning

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Groundwater drought represents one of the most pervasive and difficult‐to‐monitor forms of water scarcity, threatening the reliability of freshwater supply for over 2 billion people worldwide, agricultural productivity, and ecosystem health.
Parnian Ghaneei, Hamid Moradkhani
wiley   +1 more source