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Melanie R. Nelson

Researcher at Scripps Research Institute

Publications -  15
Citations -  4133

Melanie R. Nelson is an academic researcher from Scripps Research Institute. The author has contributed to research in topics: CellML & Calmodulin. The author has an hindex of 12, co-authored 15 publications receiving 3934 citations. Previous affiliations of Melanie R. Nelson include Science Applications International Corporation & Princeton University.

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The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

TL;DR: This work summarizes the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks, a software-independent language for describing models common to research in many areas of computational biology.
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Structures of EF-hand Ca(2+)-binding proteins: diversity in the organization, packing and response to Ca2+ binding.

TL;DR: The classical picture of calcium sensors and calcium signal modulators is presented, along with variants on the basic theme and new structural paradigms.
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An interaction‐based analysis of calcium‐induced conformational changes in Ca2+ sensor proteins

TL;DR: Insight is provided into the structural basis for these changes and into the differential response to calcium binding of various members of the EF‐hand calcium‐binding protein family, including a new hypothesis that critical hydrophobic interactions stabilize the open conformation in Ca2+ sensors, but are absent in “non‐sensor” proteins that remain closed upon Ca2-binding.
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Incorporating Protein Environments in Density Functional Theory: A Self-Consistent Reaction Field Calculation of Redox Potentials of [2Fe2S] Clusters in Ferredoxin and Phthalate Dioxygenase Reductase

TL;DR: In this paper, an approach to calculate molecular electronic structures of active-site clusters in the presence of protein environments has been developed, where the active site cluster is treated by density functional theory.
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A short introduction to CellML

TL;DR: CellML as mentioned in this paper is an XML-based language designed to facilitate the exchange of biological models across the World Wide Web, which is used to describe models as a collection of discrete components linked by connections to form a network.