Results 71 to 80 of about 2,770,096 (297)

A Competitive Layer Model for Feature Binding and Sensory Segmentation

open access: yes, 2001
Wersing H, Steil JJ, Ritter H. A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation.
Wersing, Heiko   +5 more
core   +1 more source

Soft motions encoded by the fold and mediated by conserved hinge sites drive V‐ATPase allosteric machinery and autoinhibition

open access: yesFEBS Letters, EarlyView.
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana   +3 more
wiley   +1 more source

Competitive binding of MOP to CquiOBP1.

open access: yes, 2013
Fluorescence emission spectra of CquiOBP1 alone (15 µg/ml; black), in the presence of NPN (2 µl, 3.2 mM; light red), and after titrating with increasing amounts of MOP (1–3 µl, 3.2 mM; green, blue, and dark red lines).
Rosângela M. R. Barbosa (376861)   +9 more
core   +1 more source

How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome

open access: yesFEBS Letters, EarlyView.
In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini   +3 more
wiley   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Separating dopamine D2 and D3 receptor sources of [11C]-(+)-PHNO binding potential: Independent component analysis of competitive binding

open access: yesNeuroImage, 2020
Development of medications selective for dopamine D2 or D3 receptors is an active area of research in numerous neuropsychiatric disorders including addiction and Parkinson’s disease.
Kelly Smart   +8 more
doaj   +1 more source

Binding parameters of competitive experiments of SaB-BSA system, at 310 K, pH 7.2.

open access: yes, 2015
Binding parameters of competitive experiments of SaB-BSA system, at 310 K, pH 7.2.
Huo Yan (748568)   +5 more
core   +1 more source

Competitive α-glucosidase inhibitors, dihydrobenzoxanthones, from the barks of Artocarpus elasticus

open access: yesJournal of Enzyme Inhibition and Medicinal Chemistry, 2019
This study aimed to search the α-glucosidase inhibitors from the barks part of Artocarpus elasticus. The responsible compounds for α-glucosidase inhibition were found out as dihydrobenzoxanthones (1–4) and alkylated flavones (5–6). All compounds showed a
Janar Jenis   +7 more
doaj   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

open access: yesMolecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

DPP-IV inhibitory dose-response curve obtained for C5 via a competitive binding assay.

open access: yes, 2012
DPP-IV inhibitory dose-response curve obtained for C5 via a competitive binding assay.
Miquel Mulero (115904)   +10 more
core   +1 more source

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