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Ovchinnikov, S. et al. Large-scale determination of previously unsolved protein structures using evolutionary information.
We conclude that recent advances in remote sensing allow for large-scale determination of forest structural characteristics suitable for developing species and habitat distribution models of considerable generality, while keeping an unprecedented level of detail.
The aim will be achieved by a focused, large-scale determination of protein structures by X-ray crystallography and nuclear magnetic resonance spectroscopy, combined efficiently with accurate protein structure modeling techniques.
The present study has provided a large-scale determination of the type-specific HPV prevalences in Finland and their relative contribution to the cervical disease burden.
The recent large-scale determination of full length cDNAs has generated large amount of reliable promoter data, and has led to some novel insights.
Improvements in large-scale determination of subcellular retargeting, and growing genomic and proteomic datasets for a larger diversity of eukaryotes will certainly help us in understanding this important evolutionary process.
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Although proteomics data has allowed large scale determination of protein localization for model organisms [ 2, 3], no experimental evidence is available for the vast majority of organisms.
Thank you for submitting your work entitled "Large scale determination of previously unsolved protein structures using evolutionary information" for peer review at eLife.
The following dataset was generated: Ovchinnikov S, Kinch L, Park H, Liao Y, Pei J, Kim DE, Kamisetty H, Grishin NV, Baker D, 2015, Data from: Large scale determination of previously unsolved protein structures using evolutionary information, http://dx.doi.org/10.5061/dryad.987j0, Available at Dryad Digital Repository under a CC0 Public Domain Dedication.
This would allow assessment of predictive robustness on a larger scale, determination of potential associations with treatment response as well as facilitate studies of relevant subpopulations of tumour cells with the possibility of correlating results to clinical parameters.
The iterative process for large-scale RLS determination was previously described [15].
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