Results 281 to 290 of about 423,064 (316)
Some of the next articles are maybe not open access.
In Silico Models for Hepatotoxicity
2016In this chapter we review the challenges of predicting human hepatotoxicity. Principally, this is our partial understanding of a very complex biochemical system and our ability to emulate that in a predictive capacity. We give an overview of the published modeling approaches in this area to date and discuss their design, strengths, and weaknesses.
Mark, Hewitt, Katarzyna, Przybylak
openaire +2 more sources
2008
Complex diseases can involve the interaction of multiple genes and environmental factors. Discovering these genes is difficult, and in silico based strategies can significantly improve their detection. Data mining and automated tracking of new knowledge facilitate locus mapping.
openaire +2 more sources
Complex diseases can involve the interaction of multiple genes and environmental factors. Discovering these genes is difficult, and in silico based strategies can significantly improve their detection. Data mining and automated tracking of new knowledge facilitate locus mapping.
openaire +2 more sources
2016
Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the ...
Julio, Bolívar +2 more
openaire +2 more sources
Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the ...
Julio, Bolívar +2 more
openaire +2 more sources
Deconvolution of mTORC2 “in Silico”
Science Signaling, 2012Combining classic biochemical approaches with dynamic mathematical modeling elucidates a new model for insulin-mediated activation of mTORC2.
Diane C, Fingar, Ken, Inoki
openaire +2 more sources
In silico prediction of genotoxicity
Food and Chemical Toxicology, 2017The in silico prediction of genotoxicity has made considerable progress during the last years. The main driver for the pharmaceutical industry is the ICH M7 guideline about the assessment of DNA reactive impurities. An important component of this guideline is the use of in silico models as an alternative approach to experimental testing.
openaire +2 more sources
Cardiac mechanoenergetics in silico.
Neuro endocrinology letters, 2002The aim of this thesis is to investigate the link between biochemical intracellular processes and mechanical contraction of the cardiac muscle. First, the regulation of intracellular energy fluxes between mitochondria and myofibrils is studied. It is shown, that the experimentally observed metabolic stability of the cardiac muscle is reproducible by a ...
Vendelin, Marko +3 more
openaire +3 more sources
Annals of the New York Academy of Sciences, 2000
Abstract: It is toxicology's job to discover a new substance's harmful effects and suggest ways to prevent or mitigate those harmful effects. This paper offers a new possibility‐in silico toxicology‐to help address this multifaceted challenge.
openaire +2 more sources
Abstract: It is toxicology's job to discover a new substance's harmful effects and suggest ways to prevent or mitigate those harmful effects. This paper offers a new possibility‐in silico toxicology‐to help address this multifaceted challenge.
openaire +2 more sources
In Silico Fingerprinting (ISIF): A User-Friendly In Silico AFLP Program
2012The Amplified fragment Length Polymorphism (AFLP) is one of the cost-effective and useful fingerprinting techniques to study non-model species. One crucial AFLP step in the AFLP procedure is the choice of restriction enzymes and selective bases providing good-quality AFLP profiles.
Paris M, Després L
openaire +3 more sources
The challenges of in silico biology
Nature Biotechnology, 2000Moving from a reductionist paradigm to one that views cells as systems will necessitate changes in both the culture and the practice of research.
openaire +2 more sources

