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Network models for molecular kinetics and their initial applications to human health
Gregory R. Bowman
, Xuhui Huang
, Vijay S. Pande
Department of Biochemistry & Molecular Biophysics
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Research output
:
Contribution to journal
›
Review article
›
peer-review
48
Scopus citations
Overview
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Keyphrases
Markov State Model
100%
Network Model
100%
Human Health
100%
Molecular Kinetics
100%
Alzheimer's Disease
50%
Protein Folding
50%
Human Disease
50%
Biological Processes
50%
Protein Misfolding
50%
Protein Aggregation
50%
Conformational Change
50%
Biological Phenomena
50%
Physical Simulation
50%
Biochemistry, Genetics and Molecular Biology
Protein Folding
100%
Biological Phenomena and Functions Concerning the Entire Organism
100%
Protein Misfolding
100%
Conformational Change
100%
Cellular, Subcellular and Molecular Biological Phenomena and Functions
100%