Computational Stability Modeling
Computational Stability Modeling is a computational methodology that predicts and analyzes the structural and functional resilience of biocatalysts under varying environmental conditions by integrating molecular simulations, machine learning, and thermodynamic principles to quantify stability determinants at the atomic or sequence level.
96
Publications
5.1K
Citations
384
Authors
186
Institutions
Publications per year
2017–2026
39
Parents
96
Achieving Stability of Lipopolysaccharide-Induced NF-κB Activation
Markus W. Covert, Thomas Leung, Jahlionais E. Gaston et al. · Science · 2005 · 605 citations
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186
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
20 publications
751 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
493 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
231 citations
Moscow State University of Civil Engineering
Moscow, Russia
3 h-index
8 publications
218 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
7 publications
1K citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
2 h-index
5 publications
97 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
96 citations
National Institutes of Health
Bethesda, United States
2 h-index
9 publications
169 citations
1–8 of 186
JACS · 3 publications · 217 citations
3
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PS · 2 publications · 43 citations
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AMR · 2 publications · 48 citations
2
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2 publications · 40 citations
2
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2 publications · 97 citations
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