Results 101 to 110 of about 387 (168)

Decoding the allosteric grammar of protein kinases: A dual‐stream framework integrating protein language models and energy landscape frustration analysis

Protein Science, Volume 35, Issue 8, August 2026.
Abstract The spatial and energetic encoding of allosteric regulatory sites remains a major challenge in structural biology, frequently representing a “blind spot” for sequence‐based artificial intelligence (AI) models. We present a protein language model (PLM)‐guided approach complemented by the energy landscape frustration analysis as a dual‐stream ...
Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Kamila Riedlová, Vít Škrhák, Marian Novotný, David Hoksza, Gennady M. Verkhivker   +8 more
wiley   +1 more source

Testing for Conformity With Parametric Distributions Using Level Sets: From Univariate to Bivariate Applications

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Conformity of observed data with a postulated probability distribution is a fundamental problem of statistical modeling. Current tools for checking distributional conformity are often limited to univariate settings, with extensions to multivariate distributions facing challenges in interpretability and power.
Rasha Alsaadawi, Nitai D. Mukhopadhyay
wiley   +1 more source

The Length of Haplotype Blocks and Signals of Structural Variation in Reconstructed Genealogies. [PDF]

Mol Biol Evol
Ignatieva A, Favero M, Koskela J, Sant J, Myers SR.   +4 more
europepmc   +1 more source

All pieces together now? A phylogenomic analysis and tribe‐level classification of the heterogeneous family Plantaginaceae

TAXON, Volume 75, Issue 4, August 2026.
Abstract The plant family Plantaginaceae comprises approximately 2100 species in 106 genera, representing around 1% of all eudicots. The current circumscription of the family has been established in recent decades based on insights from DNA‐based phylogenetic analyses, which have united genera previously considered unrelated.
Niels Kappert, Mario Fernández‐Mazuecos, Ana Otero, Catherine McGinnie, Olivier Maurin, Félix Forest, William J. Baker, Alexandre Rizzo Zuntini, Dirk C. Albach   +8 more
wiley   +1 more source

Refinement and curation of homologous groups facilitated by structure prediction. [PDF]

Protein Sci
Schaeffer RD, Pei J, Zhang J, Cong Q, Grishin NV.   +4 more
europepmc   +1 more source

Recent Advances in Photocatalyst‐Driven Protein Labeling and Proximity Mapping

The Chemical Record, Volume 26, Issue 8, August 2026.
Photocatalyst‐driven protein labeling and proximity mapping have rapidly advanced as powerful strategies for spatiotemporal control in complex biological environments. This review integrates recent developments across single‐electron transfer and energy transfer‐based mechanisms and highlights how catalyst design, reactive intermediates, and diffusion ...
Shinichi Sato, Kazuki Miura, Juki Nakao, Hiroyuki Nakamura   +3 more
wiley   +1 more source

Molecular exploration of natural and synthetic compounds databases for promising hypoxia inducible factor (HIF) Prolyl-4- hydroxylase domain (PHD) inhibitors using molecular simulation and free energy calculations. [PDF]

BMC Chem
Sayaf AM, Kousar K, Suleman M, Albekairi NA, Alshammari A, Mohammad A, Khan A, Agouni A, Yeoh KK.   +8 more
europepmc   +1 more source

Improving Geomagnetic Perturbation Forecasts in the Southern Hemisphere via Kernel‐Based Encoding of Mirror Symmetry

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Accurate forecasting of geomagnetic perturbations is essential for assessing space weather risk of geomagnetic activities. Thanks to decades of magnetometer observations from world‐wide distributed networks and upstream solar wind observations at L1, data‐driven modeling of global geomagnetic perturbations has become increasingly feasible ...
Hongfan Chen, Gabor Toth, Yang Chen, Shasha Zou, Xun Huan   +4 more
wiley   +1 more source

Resurrecting Full-Length Ancestral Schizorhodopsins and Heliorhodopsins with Structure-Guided, Indel-Aware Sequence Reconstruction. [PDF]

ACS Omega
Ishikawa H, Mizutani Y.
europepmc   +1 more source

PETIMOT: a novel framework for inferring protein motions from sparse data using SE(3)‐equivariant graph neural networks

Acta Crystallographica Section D, Volume 82, Issue 8, Page 862-885, August 2026.
We present a new formulation for protein flexibility and learn protein motions from sparse experimental data.Proteins move and deform to ensure their biological functions. Despite significant progress in protein structure prediction, approximating conformational ensembles under physiological conditions remains a fundamental open problem.
Valentin Lombard, Julien Nguyen Van, Sergei Grudinin, Elodie Laine   +3 more
wiley   +1 more source