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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1971 2
1975 1
1976 1
1977 3
1978 1
1980 2
1981 5
1982 5
1983 3
1984 7
1985 1
1986 4
1987 5
1988 1
1989 9
1990 9
1991 7
1992 16
1993 27
1994 21
1995 22
1996 21
1997 21
1998 26
1999 31
2000 19
2001 48
2002 51
2003 45
2004 76
2005 86
2006 65
2007 57
2008 92
2009 97
2010 106
2011 105
2012 126
2013 112
2014 124
2015 118
2016 107
2017 139
2018 144
2019 164
2020 164
2021 213
2022 221
2023 210
2024 60

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2,718 results

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Page 1
CARLo-5 as an oncogenic gene in endometrial carcinoma.
Zhao X, Zhang C, Wei X, Shi L, Dai S, Jia J, Wei S, Wang Y, Wang Y, Cheng J, Zhao L. Zhao X, et al. Environ Mol Mutagen. 2020 Feb;61(2):256-265. doi: 10.1002/em.22340. Epub 2019 Nov 18. Environ Mol Mutagen. 2020. PMID: 31661565
The long noncoding RNA CARLo-5 is dysregulated in multiple types of human cancers. High CARLo-5 is a promising predictive factor for various cancers, including endometrial carcinoma (EC). ...The oncogenic activity of CARLo-5 was also confirmed with in vivo da …
The long noncoding RNA CARLo-5 is dysregulated in multiple types of human cancers. High CARLo-5 is a promising predictive fact …
Modeling Phage-Bacteria Dynamics.
Sinha S, Grewal RK, Roy S. Sinha S, et al. Methods Mol Biol. 2020;2131:309-327. doi: 10.1007/978-1-0716-0389-5_18. Methods Mol Biol. 2020. PMID: 32162264
In this chapter, we discuss several modeling techniques that can be used to study the dynamics between phages and their host bacteria. Monte Carlo simulations and differential equations (both ordinary and delay differential equations) can be used to successfully model phag …
In this chapter, we discuss several modeling techniques that can be used to study the dynamics between phages and their host bacteria. Monte …
The long and latent road to autoimmunity.
Selmi C, Bin Gao, Gershwin ME. Selmi C, et al. Cell Mol Immunol. 2018 Jun;15(6):543-546. doi: 10.1038/s41423-018-0018-y. Epub 2018 Mar 22. Cell Mol Immunol. 2018. PMID: 29568115 Free PMC article. No abstract available.
Basic Bayesian methods.
Glickman ME, van Dyk DA. Glickman ME, et al. Methods Mol Biol. 2007;404:319-38. doi: 10.1007/978-1-59745-530-5_16. Methods Mol Biol. 2007. PMID: 18450057 Review.
We illustrate each of these steps of a typical Bayesian analysis using three biomedical examples and briefly discuss more advanced topics, including prediction, Monte Carlo computational methods, and multilevel models....
We illustrate each of these steps of a typical Bayesian analysis using three biomedical examples and briefly discuss more advanced topics, i …
Monte Carlo simulations.
Earl DJ, Deem MW. Earl DJ, et al. Methods Mol Biol. 2008;443:25-36. doi: 10.1007/978-1-59745-177-2_2. Methods Mol Biol. 2008. PMID: 18446280
A description of Monte Carlo methods for simulation of proteins is given. Advantages and disadvantages of the Monte Carlo approach are presented. ...A discussion of the estimation of errors in properties calculated by Monte Carlo is given....
A description of Monte Carlo methods for simulation of proteins is given. Advantages and disadvantages of the Monte Carlo appr …
Monte Carlo simulations of simple two dimensional water-alcohol mixtures.
Pršlja P, Žibert T, Urbic T. Pršlja P, et al. J Mol Liq. 2022 Dec 15;368(Pt A):120692. doi: 10.1016/j.molliq.2022.120692. Epub 2022 Oct 29. J Mol Liq. 2022. PMID: 37731590 Free PMC article.
In this work, we determined the thermodynamic and structural properties of two dimensional water-alcohol mixtures using the Monte Carlo method. We used two-dimensional Mercedes-Benz (MB) model for water and MB based models for lower alcohols. The structural and thermodynam …
In this work, we determined the thermodynamic and structural properties of two dimensional water-alcohol mixtures using the Monte Carlo
Monte Carlo MP2-F12 for Noncovalent Interactions: The C(60) Dimer.
Doran AE, Qiu DL, Hirata S. Doran AE, et al. J Phys Chem A. 2021 Aug 26;125(33):7344-7351. doi: 10.1021/acs.jpca.1c05021. Epub 2021 Aug 17. J Phys Chem A. 2021. PMID: 34433271
It first transforms the formulas of the MP2 and F12 energy differences into a short sum of high-dimensional integrals of Green's functions in real space and imaginary time. These integrals are then evaluated by the Monte Carlo method augmented by parallel execution, redund …
It first transforms the formulas of the MP2 and F12 energy differences into a short sum of high-dimensional integrals of Green's functions i …
Polymer Folding Simulations from Hi-C Data.
Zhan Y, Giorgetti L, Tiana G. Zhan Y, et al. Methods Mol Biol. 2022;2301:259-265. doi: 10.1007/978-1-0716-1390-0_13. Methods Mol Biol. 2022. PMID: 34415540
In the absence of a clear molecular understanding of the mechanism that stabilizes specific contacts in interphasic chromatin, we resort to the principle of maximum entropy to build a polymeric model based on the Hi-C data of the specific system one wants to study. The interactio …
In the absence of a clear molecular understanding of the mechanism that stabilizes specific contacts in interphasic chromatin, we resort to …
Aggregation and coacervation with Monte Carlo simulations.
Mohanty S. Mohanty S. Prog Mol Biol Transl Sci. 2020;170:505-520. doi: 10.1016/bs.pmbts.2019.12.005. Epub 2020 Jan 25. Prog Mol Biol Transl Sci. 2020. PMID: 32145952
Here we review a few examples of the use of Markov chain Monte Carlo simulations in the study of these two forms of protein assembly....
Here we review a few examples of the use of Markov chain Monte Carlo simulations in the study of these two forms of protein assembly. …
2,718 results