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4 Publications visible to you, out of a total of 4

Abstract

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Authors: Robin A. Hutchinson, Bert Klumperman, Gregory T. Russell, Alexander M. Van Herk

Date Published: 1st Apr 2022

Publication Type: Journal

Abstract (Expand)

EnzymeML is an XML-based data exchange format that supports the comprehensive documentation of enzymatic data by describing reaction conditions, time courses of substrate and product concentrations, the kinetic model, and the estimated kinetic constants. EnzymeML is based on the Systems Biology Markup Language, which was extended by implementing the STRENDA Guidelines. An EnzymeML document serves as a container to transfer data between experimental platforms, modeling tools, and databases. EnzymeML supports the scientific community by introducing a standardized data exchange format to make enzymatic data findable, accessible, interoperable, and reusable according to the FAIR data principles. An application programming interface in Python supports the integration of software tools for data acquisition, data analysis, and publication. The feasibility of a seamless data flow using EnzymeML is demonstrated by creating an EnzymeML document from a structured spreadsheet or from a STRENDA DB database entry, by kinetic modeling using the modeling platform COPASI, and by uploading to the enzymatic reaction kinetics database SABIO-RK.

Authors: J. Range, C. Halupczok, J. Lohmann, N. Swainston, C. Kettner, F. T. Bergmann, A. Weidemann, U. Wittig, S. Schnell, J. Pleiss

Date Published: 11th Dec 2021

Publication Type: Journal

Abstract

Not specified

Authors: Nikhil Sood, Ankur Bhardwaj, Shuchi Mehta, Abhinav Mehta

Date Published: 23rd Mar 2016

Publication Type: Journal

Abstract (Expand)

Biofunctional matrices for in vivo tissue engineering strategies must be modifiable in both biomolecular composition and mechanical characteristics. To address this challenge, we present a modular system of biohybrid hydrogels based on covalently cross-linked heparin and star-shaped poly(ethylene glycols) (star-PEG) in which network characteristics can be gradually varied while heparin contents remain constant. Mesh size, swelling and elastic moduli were shown to correlate well with the degree of gel component cross-linking. Additionally, secondary conversion of heparin within the biohybrid gels allowed the covalent attachment of cell adhesion mediating RGD peptides and the non-covalent binding of soluble mitogens such as FGF-2. We applied the biohybrid gels to demonstrate the impact of mechanical and biomolecular cues on primary nerve cells and neural stem cells. The results demonstrate the cell type-specific interplay of synergistic signaling events and the potential of biohybrid materials to selectively stimulate cell fate decisions. These findings suggest important future uses for this material in cell replacement based-therapies for neurodegenerative diseases.

Authors: U. Freudenberg, A. Hermann, P. B. Welzel, K. Stirl, S. C. Schwarz, M. Grimmer, A. Zieris, W. Panyanuwat, S. Zschoche, D. Meinhold, A. Storch, C. Werner

Date Published: 30th Jun 2009

Publication Type: Journal

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