Results 101 to 110 of about 755,061 (295)

Unveiling the affinity–stability relationship in anti-measles virus antibodies: a computational approach for hotspots prediction

Frontiers in Molecular Biosciences
Recent years have seen an uptick in the use of computational applications in antibody engineering. These tools have enhanced our ability to predict interactions with antigens and immunogenicity, facilitate humanization, and serve other critical functions.
Rimpa Paul, Rimpa Paul, Keisuke Kasahara, Jiei Sasaki, Jorge Fernández Pérez, Ryo Matsunaga, Ryo Matsunaga, Takao Hashiguchi, Daisuke Kuroda, Daisuke Kuroda, Daisuke Kuroda, Kouhei Tsumoto, Kouhei Tsumoto, Kouhei Tsumoto   +13 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

Experimentally guided computational antibody affinity maturation with de novo docking, modelling and rational design.

PLoS Computational Biology, 2019
Antibodies are an important class of therapeutics that have significant clinical impact for the treatment of severe diseases. Computational tools to support antibody drug discovery have been developing at an increasing rate over the last decade and ...
Daniel A Cannon, Lu Shan, Qun Du, Lena Shirinian, Keith W Rickert, Kim L Rosenthal, Martin Korade, Lilian E van Vlerken-Ysla, Andrew Buchanan, Tristan J Vaughan, Melissa M Damschroder, Bojana Popovic   +11 more
doaj   +1 more source

Three Dimensional Quantitative Structure-Activity Relationships of Sulfonamides Binding Monoclonal Antibody by Comparative Molecular Field Analysis [PDF]

, 2008
The three-dimensional quantitative structure-activity relationship (3D-QSAR) model of sulfonamide analogs binding a monoclonal antibody (MabSMR) produced against sulfamerazine, was carried out by comparative molecular field analysis (CoMFA).
Congming Wu, Haiyang Jiang, Jianzhong Shen, Linli Cheng, Ross C. Beier, Xingyuan Cao, Xinling Yang, Zhanhui Wang, Zhenpeng Kai   +8 more
core   +1 more source

Affinity Chromatographic studies on antigen‐antibody dissociation [PDF]

FEBS Letters, 1984
Antigen‐antibody complex Affinity chromatography Mild desorption
openaire   +2 more sources

Neuroinflammation in GAD65 Antibody‐Associated Epilepsy Measured Using [18F]DPA‐714 PET/MRI

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The timing for initiating immunotherapy in patients with glutamic acid decarboxylase 65 (GAD65) antibody‐associated epilepsy is a challenge. We used the translocator protein radioligand [18F]DPA‐714 and PET to evaluate brain microglial activation.
Jingjing Chen, Yuying Zhang, Heyu Zhang, Jinming Zhang, Ningning Wang, Xintong Guo, Yicong Liu, Yue Liu, Xiangsong Zhang, Ziyi Chen, Guanzhong Ni   +10 more
wiley   +1 more source

A Unified Dataset for Antibody and Nanobody Design Including Sequence, Structure, and Binding Affinity Data

Scientific Data
The design and optimization of antibodies and nanobodies using deep generative models hold transformative potential for therapeutic and diagnostic applications, which are hindered by the fragmented and inconsistent nature of existing datasets. To address
Yikai Wu, Xuejiao Liu, Karin Hrovatin, Dezhi Wu, Stephanie Linker, Mathias Winkel, Feng Tan   +6 more
doaj   +1 more source

Recycling probability and dynamical properties of germinal center reactions

, 2001
We introduce a new model for the dynamics of centroblasts and centrocytes in a germinal center. The model reduces the germinal center reaction to the elements considered as essential and embeds proliferation of centroblasts, point mutations of the ...
Deutsch, Andreas, Meyer-Hermann, Michael, Or-Guil, Michal   +2 more
core   +2 more sources

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source