Literature DB >> 17024084

From in vivo to in silico biology and back.

Barbara Di Ventura1, Caroline Lemerle, Konstantinos Michalodimitrakis, Luis Serrano.   

Abstract

The massive acquisition of data in molecular and cellular biology has led to the renaissance of an old topic: simulations of biological systems. Simulations, increasingly paired with experiments, are being successfully and routinely used by computational biologists to understand and predict the quantitative behaviour of complex systems, and to drive new experiments. Nevertheless, many experimentalists still consider simulations an esoteric discipline only for initiates. Suspicion towards simulations should dissipate as the limitations and advantages of their application are better appreciated, opening the door to their permanent adoption in everyday research.

Mesh:

Year:  2006        PMID: 17024084     DOI: 10.1038/nature05127

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  94 in total

1.  Data analysis and data mining: current issues in biomedical informatics.

Authors:  R Bellazzi; M Diomidous; I N Sarkar; K Takabayashi; A Ziegler; A T McCray
Journal:  Methods Inf Med       Date:  2011       Impact factor: 2.176

2.  Crowding and hydrodynamic interactions likely dominate in vivo macromolecular motion.

Authors:  Tadashi Ando; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

Review 3.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

Authors:  Robert Clarke; John J Tyson; Ming Tan; William T Baumann; Lu Jin; Jianhua Xuan; Yue Wang
Journal:  Endocr Relat Cancer       Date:  2019-06       Impact factor: 5.678

4.  Diverse metabolic model parameters generate similar methionine cycle dynamics.

Authors:  Matthew Piazza; Xiao-Jiang Feng; Joshua D Rabinowitz; Herschel Rabitz
Journal:  J Theor Biol       Date:  2007-12-23       Impact factor: 2.691

5.  A tunable synthetic mammalian oscillator.

Authors:  Marcel Tigges; Tatiana T Marquez-Lago; Jörg Stelling; Martin Fussenegger
Journal:  Nature       Date:  2009-01-15       Impact factor: 49.962

Review 6.  Models of signalling networks - what cell biologists can gain from them and give to them.

Authors:  Kevin A Janes; Douglas A Lauffenburger
Journal:  J Cell Sci       Date:  2013-05-01       Impact factor: 5.285

7.  On an infrastructure to support sharing and aggregating pre- and post-publication systems biology research data.

Authors:  Mark Slaymaker; James Osborne; Andrew Simpson; David Gavaghan
Journal:  Syst Synth Biol       Date:  2012-08-03

Review 8.  Integrative systems biology for data-driven knowledge discovery.

Authors:  Casey S Greene; Olga G Troyanskaya
Journal:  Semin Nephrol       Date:  2010-09       Impact factor: 5.299

9.  Dehydrogenation of the indoline-containing drug 4-chloro-N-(2-methyl-1-indolinyl)-3-sulfamoylbenzamide (indapamide) by CYP3A4: correlation with in silico predictions.

Authors:  Hao Sun; Chad Moore; Patrick M Dansette; Santosh Kumar; James R Halpert; Garold S Yost
Journal:  Drug Metab Dispos       Date:  2008-12-12       Impact factor: 3.922

10.  Coronary intraplaque hemorrhage evokes a novel atheroprotective macrophage phenotype.

Authors:  Joseph J Boyle; Heather A Harrington; Emma Piper; Kay Elderfield; Jaroslav Stark; Robert C Landis; Dorian O Haskard
Journal:  Am J Pathol       Date:  2009-03       Impact factor: 4.307

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.