Results 191 to 200 of about 161,467 (336)

Multi-label code-smell dataset

open access: gold, 2023
Binh Nguyen Thanh
openalex   +1 more source

IgG‐Bridging–Seeded Synergistic Aggregation of SARS‐CoV‐2 Spikes Underlies Potent Neutralization by a Low‐Affinity Antibody

open access: yesAdvanced Science, EarlyView.
Low‐affinity antibodies are frequently disregarded in discovery pipelines. This work reports P5‐1C8, a Class 1 SARS‐CoV‐2 antibody with weak trimer binding (KD‐to‐IC50 > 3700‐fold) yet potent neutralization of Omicron JN.1. Structural, biophysical, functional, and coarse‐grained simulations collectively demonstrate that transient inter‐spike IgG ...
Niannian Lv   +29 more
wiley   +1 more source

Cryo‐EM Structures Reveal the Molecular Basis of Asymmetric Allosteric Activation by MMOB in the Hydroxylase of Soluble Methane Monooxygenase

open access: yesAdvanced Science, EarlyView.
Cryo‐EM analysis reveals an asymmetric MMOH–MMOB complex with distinct protomers, where MMOB binding triggers structural rearrangements from the surface to the active site. This conformational asymmetry shortens the Fe···Fe distance to 2.7 Å in one protomer, forming a geometry suitable for O2 activation and supporting a sequential catalytic mechanism ...
Yunha Hwang   +9 more
wiley   +1 more source

Modulus Matching and Interface Enhancement: A Synergistic Strategy for Antidelamination High‐Performance Stretchable Triboelectric Nanogenerator

open access: yesAdvanced Science, EarlyView.
A bioinspired TENG features a homologously paired interface with matched modulus. Ultrasonic cavitation enhances its toughness to 190 N m−1 (3.2× higher), preventing delamination under 400% strain. Abstract With the growing demand for flexible self‐powered energy sources for wearable bioelectronics, triboelectric nanogenerator (TENG) have emerged as a ...
Shiwei Xu   +7 more
wiley   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

open access: yesAdvanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang   +3 more
wiley   +1 more source

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