Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered Proteins

Research article (Frontiers in Molecular Biosciences, 2019) · cited 30× · AI/ML
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Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered Proteins

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Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered Proteins is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered Proteins. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-small-angle-scattering-data-and-parametric-machine-learning-to-optimize-force-field-parameters-for-intrinsically-d
MLA “Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered Proteins.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-small-angle-scattering-data-and-parametric-machine-learning-to-optimize-force-field-parameters-for-intrinsically-d.
BibTeX @misc{4ortxyz_using-small-angle-scattering-data-and-parametric-machine-learning-to-optimize-force-field-parameters-for-intrinsically-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered Proteins}}, year = {2026}, url = {https://4ort.xyz/entity/using-small-angle-scattering-data-and-parametric-machine-learning-to-optimize-force-field-parameters-for-intrinsically-d}, note = {Accessed: 2026-05-24}}
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