Results 61 to 70 of about 426,733 (308)

Structure–Reactivity–Property Relationships in Covalent Adaptable Networks [PDF]

open access: yes, 2022
Polymer networks built out of dynamic covalent bonds offer the potential to translate the control and tunability of chemical reactions to macroscopic physical properties. Under conditions at which these reactions occur, the topology of covalent adaptable
Julia A. Kalow (2161156)   +3 more
core   +1 more source

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

open access: yesFEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Protic Ionic Liquids: Evolving Structure–Property Relationships and Expanding Applications [PDF]

open access: yes, 2015
Protic Ionic Liquids: Evolving Structure–Property Relationships and Expanding ...
Calum J. Drummond (1273074)   +1 more
core   +1 more source

Structure-Mechanical Property Relationships in Engineering Polymers

open access: yesCHIMIA, 2001
An overview is given of recent work in our laboratory aimed at exploring structure-mechanical property relationships in engineering polymers. This has involved both model systems and systems with direct relevance to practical industrial problems.
Christopher J.G. Plummer   +1 more
doaj  

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

open access: yesFEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson   +6 more
wiley   +1 more source

Tailoring Structure−Property Relationships in Dithienosilole−Benzothiadiazole Donor−Acceptor Copolymers [PDF]

open access: yes, 2016
Tailoring Structure−Property Relationships in Dithienosilole−Benzothiadiazole Donor−Acceptor ...
Pierre M. Beaujuge (1309233)   +5 more
core   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

open access: yesFEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee   +7 more
wiley   +1 more source

Structure–Glass Transition Relationships in Non-Isocyanate Polyhydroxyurethanes

open access: yesMolecules
The molecular dynamics, with an emphasis on the calorimetric and dynamic glass transitions, of non-isocyanate polyhydroxyurethanes (PHUs) produced by the equimolar polyaddition of polyether-based dicyclic carbonates (P-CCs) and various short diamines was
Konstantinos N. Raftopoulos   +7 more
doaj   +1 more source

α‐Synuclein aggregation landscape from phase separation to neurotoxic intermediates

open access: yesFEBS Letters, EarlyView.
Alpha‐synuclein aggregation in Parkinson's disease involves a complex landscape of transient intermediates, including oligomers, fibrils and liquid–liquid phase separation (LLPS). A view is emerging in which LLPS maturation into solid‐like condensates may contribute to the formation of neurotoxic species.
Silvia Arino   +2 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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