ReviewCell research2010
Network models for molecular kinetics and their initial applications to human health.
Review in Cell research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Nucleosome condensate and linker DNA alter chromatin folding pathways and rates.Biophysical journal · 2026Article
- Integrative generalized master equation: A method to study long-timescale biomolecular dynamics via the integrals of memory kernels.The Journal of chemical physics · 2023Article
- An Efficient Path Classification Algorithm Based on Variational Autoencoder to Identify Metastable Path Channels for Complex Conformational Changes.Journal of chemical theory and computation · 2023Article
- Markov State Models of gene regulatory networks.BMC systems biology · 2017Article
- Modelling proteins' hidden conformations to predict antibiotic resistance.Nature communications · 2016Article
- Mechanism of action of thalassospiramides, a new class of calpain inhibitors.Scientific reports · 2015Article
- Discovery of multiple hidden allosteric sites by combining Markov state models and experiments.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Extensive conformational heterogeneity within protein cores.The journal of physical chemistry. B · 2014Article
- Quantitative comparison of alternative methods for coarse-graining biological networks.The Journal of chemical physics · 2013Article
- Mechanistic and structural insight into the functional dichotomy between IL-2 and IL-15.Nature immunology · 2012Article
- Improved coarse-graining of Markov state models via explicit consideration of statistical uncertainty.The Journal of chemical physics · 2012Article
- A chemical group graph representation for efficient high-throughput analysis of atomistic protein simulations.Journal of bioinformatics and computational biology · 2012Article
- Equilibrium fluctuations of a single folded protein reveal a multitude of potential cryptic allosteric sites.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- The protein folding network indicates that the ultrafast folding mutant of villin headpiece subdomain has a deeper folding funnel.The Journal of chemical physics · 2011Article
- Atomistic folding simulations of the five-helix bundle protein λ(6−85).Journal of the American Chemical Society · 2011Article
- Taming the complexity of protein folding.Current opinion in structural biology · 2011Review
- Simbios: an NIH national center for physics-based simulation of biological structures.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Molecular kinetics underlies all biological phenomena and, like many other biological processes, may best be understood in terms of networks. These networks, called Markov state models (MSMs), are typically built from physical simulations. Thus, they are capable of quantitative prediction of experiments and can also provide an intuition for complex conformational changes. Their primary application has been to protein folding; however, these technologies and the insights they yield are transferable. For example, MSMs have already proved useful in understanding human diseases, such as protein misfolding and aggregation in Alzheimer's disease.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.