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We test this hypothesis using a population based model of protein evolution.
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GP based modeling of protein families provides an extra advantage of fast incremental learning.
Both methods are applied to an atom based model of the calcium binding protein calbindin (PDB code 4ICB).
Biologically based models of emotions.
Recombinatoric Exploration of Novel Folded Structures: A Heteropolymer-Based Model of Protein Evolutionary Landscapes.
Position-specific denatured-state thermodynamics were determined for a database of human proteins by use of an ensemble-based model of protein structure.
However, despite huge efforts to optimize them, currently-used all-atom force fields are still not able, in a vast majority of cases, even to keep a protein molecule in its native conformation in the course of molecular dynamics simulations or to bring an approximate, homology-based model of protein structure closer to its native conformation.
Despite huge efforts to optimize them, the force fields currently used are still not able, in a vast majority of cases, to bring an approximate, homology-based model of protein structure (whose atoms usually deviate by only 1.5 – 3 Å from their native positions) closer to its native conformation [18 22].
Here we develop a coarse-grained physics-based model of protein folding and binding function, and compare it to a popular informational model.
We proposed novel methods which combine conditional random fields with the domain-based model of protein-protein interactions.
In this paper we design and analyse a physiologically based model representing the accumulation of protein p53 in the nucleus after triggering of ATM by DNA damage.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com